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WIRELESS ENDOSCOPY
INTRODUCTION
The gastrointestinal diseases especially in the small bowel
are hard to detect because of its location. Traditionally,
long video endoscopic probes are used for the inspection of
the gastrointestinal (GI) tract. Although this technique
works well to obtain a detailed diagnosis, it is invasive and
may cause significant pain for patients. Therefore, wireless
capsule endoscopy has been developed to make standard
endoscopy less invasive and, in addition, to reach less
accessible areas of the GI tract (1).
Figure 1 shows a wireless capsule endoscopy system
for medical diagnostic applications. A miniature-sized
wireless endoscopy device reaches areas such as the
small intestine and delivers images and measurements
of physiological signals wirelessly to an external receiver
worn by the patient using one of the appropriate bands
such as industrial, scientific and medical (ISM), medical
implant communication service (MICS), and ultra wide-
band (UWB). The collected physiological signals and
image data are transferred to a computer for diagnosis,
review, and display of images. A high-resolution video-
based capsule endoscope produces a large amount of data
requiring a high-capacity wireless link. A wireless cap-
sule endoscopy system is designed such that the patient
will wear the external receiver (i.e., gateway) on the body
close to the capsule device (2). The gateway can be an
array of receivers placed around the human abdomen to
receive better signals from the capsule in the body. In
current commercial capsule systems, the images are
stored in the external receiver, and the patient returns
the external receiver to a physician who downloads video
images to a computer and uses special software to inspect
and detect abnormalities.
A remote receiver can be used to receive data from the
external receiver close to the patient’s body wirelessly.
This additional wireless link will provide the patient free-
dom of movement within a hospital room. With this sce-
nario, it is also possible for a health practitioner to view the
data online using the Internet independent of the patient
location (3).
Commercially available wireless capsules used for diag-
nosis of diseases within the GI tract are passive (4).
Actively controlled capsules are needed that can complete
the journey in a shorter time and be stopped or navigated
around a specific location to obtain a thorough diagnosis
and treatment. Some studies have proposed concepts for
magnetically propelled swimming robots (5). There are a
number of similar projects around the world developing
systems for control of capsule movements in the small and
large intestines. For example, magnetic forces are used in
Reference 6 to steer capsules in the GI tract to control and
navigate capsules. These approaches are expensive and
require many orientations of permanent magnets in the
external device as well as inside the capsule. Location
detection and position and movement control of capsules
are existing issues that have awaited solutions for more
than 50 years; in fact, these issues are described as “dream
features” in Reference 7.
Several commercial wireless capsules are already used
in clinical environments for visualization of abnormalities
in the GI tract. They offer almost similar design specifica-
tions. In addition to the camera-based wireless capsules,
these companies also manufacture capsule devices for pH
monitoring, temperature monitoring, and pressure mon-
itoring. The first camera-based capsule product was
the M2A capsule (8) manufactured by Given Imaging
(Yoqneam, Israel) at the time when significant advances
in integrated device technology enabled the design of
miniature cameras. The M2A capsule received approval
from the U.S. Food and Drug Administration (FDA) in
2001. Previously, wireless capsules measuring physiologi-
cal parameters such as pH, temperature, and pressure
existed since 1950 (2). The latest camera capsule PillCam
SB by Given Imaging (9) is now widely used around the
world in clinical settings for visualizing the small bowel to
detect and monitor many abnormalities, including bleed-
ing. With the help of camera-based capsules, the physi-
cians can detect, monitor, and diagnose abnormalities in
the entire small bowel without subjecting their patients to
an uncomfortable procedure or sedation.
The existing wireless capsules use narrowband wireless
links. To achieve a higher frame rate transmission of
images, they use some image compressing techniques. A
high-data-rate transmission will increase the resolution
and image quality of wireless capsules. Thus, a wideband
communication system such as UWB communication will
be an ideal wireless technology for future wireless capsule
endoscopy by achieving a data rate equal to or higher than
100Mbps. For such a high data-rate capacity, a wireless
capsule can transmit raw video data without any compres-
sion, resulting in a low-power transmitter, less delay in
real time, and increased picture resolution. With a high-
definition camera, such as 2 megapixels, UWB communi-
cation can send more than 30 frames per second (fps) (10,
11). At high frequencies, tissue absorbs significant signal
energy, thus affecting overall performance of a telemetry
link in a wireless endoscopy system. For high-frequency
designs, signals through different layers of tissue should
be optimized together with the wireless communication
device as shown in Figure 1b.
The existing wireless capsule devices use small batte-
ries to power the electronics in a capsule. New develop-
ments consider a wireless power mechanism to provide the
power supply or to recharge the battery of a wireless
endoscopy device (12). In addition, future capsules are
designed to be fully robotic with locomotion and motion-
control features (13). Robotic capsules are targeted for
drug-delivery applications in the human GI tract. The
navigable wireless capsule pill will carry the right amount
of drug and will go to the right location inside the body to
deliver the exact amount of the drug required (14). Real-
time wireless energy transfer via magnetic coupling is
necessary for these types of capsule endoscopes to provide
mechanical function, as they require a large amount of
power for continuous movement (15).
This article presents a detailed discussion of recent
studies onmotion control and localization that are targeted
J. Webster (ed.),Wiley Encyclopedia of Electrical and Electronics Engineering. Copyright# 2014 John Wiley & Sons, Inc.
features for greatermedical diagnosis, andwireless energy
transfer to increase the operating life of current wireless
capsules. These additional features will improve therapeu-
tic capabilities and enable a fully robotic wireless capsule
endoscopy system.
WIRELESS ENDOSCOPY DEVICES
A wireless capsule endoscope system consists of a tiny
camera, light-emitting diodes (LEDs), a wireless transmit-
ter, a battery, and an antenna. Recent research activities
in the development of wireless capsule devices include a
power management unit for receiving wireless energy
and regulation, and a motion control unit. Figure 2
shows the components required for a wireless capsule
device. It is important that integration of all these individ-
ual components will be low in complexity, small in form,
and light in weight in order to reach a very small section of
the GI tract.
History of Wireless Endoscopy Devices
The design of wireless capsules began in the 1950s. The
complete design of swallowable radio transmitters for use
in diagnosis of the organs within the digestive system first
appeared in the literature in 1957 by two different groups,
almost at the same time. These devices successfully oper-
ated in the GI tract and measurements such as pH, tem-
perature, and pressure were recorded wirelessly. Since
then, these devices have been called endoradiosondes,
capsules, smart pills, electronic pills, radio pills, wireless
capsules, wireless endoscopy, and so forth (16–18).
Because the integrated circuit (IC) technology was not
advanced, the early designs used simple electronic systems
with fewer components. The design by Mackay and Jacob-
son (16) used a circuit given in Figure 3a to transmit
pressure signals wirelessly using a core attached to a dia-
phragm moving inside the inductor. Temperature is meas-
ured through the transistor itself. The operation frequency
selected for this capsulewas 500KHz considering the better
signal penetration in the body and the effect of the skin
depth at low frequencies. This wireless capsule systemused
a several array of coils around the body to compensate the
changes resulted from the different orientations of the
passive capsule device. Mackay and Jacobson (16) also
described a wireless energy technique in their article by
using a large coil around the patient to induce energy into a
secondary winding at a frequency different than that of the
outgoing signal. However, a battery was used in actual
measurements because a better performance was obtained.
The device was shaped like a pill and measured 9mm in
diameter and 28mm in length (Figure 4a).
The capsule designed by Farrar and Zworykin (17, 18)
also contains an oscillator-based transmitter powered by a
battery having lifetime of 15h. It has a cylindrical pill
shape and measured 10mm in diameter and 30mm in
length. It uses a transistor oscillator circuit similar to
the one in Figure 3a. The components were packaged as
given in Figure 4b. The capsule had a flexible rubber at one
end that covers a pressure transducer. Similar to the
previous design, the pressure applied to the transducers
modulates the oscillation frequency of the transmitter
[known as frequency modulation (FM)], which is received
and demodulated by a frequency modulation receiver. The
Figure 1. (a) A wireless endoscopy system for medical monitoring. (b) Signal transmission through tissue layers inside the human body.
Tra
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Mo
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on
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An
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Mic
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oller
Batt
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Figure 2. A pill-sized wireless capsule and components.
2 Wireless Endoscopy
pressure signal was recorded using an oscilloscope. The
precise measurement of pressure activity in the intestine
was complicated for this design as the capsule would move
downstream. This indicates that position control was also
an important problem that time.
Figure 3b is a “echo capsule” that was designed in 1962
by a Japanese group (7) and was energized wirelessly. A
wireless energy link was investigated because miniature
batteries were not available in Japan at that time. The
circuit is aHartley oscillator in which a capacitorCc is used
as a storage element instead of a battery. The resonant
part of this circuit (L-C) receives a power signal from an
external coil, and the signal is rectified through the p-n-p
transistor. Cb is a blocking capacitor, and the electric
charge on this capacitor is discharged from base to collec-
tor. This circuit acts as a receiver to receive power and as a
transmitter to transmit information on various quantities
such as temperature, pressure, and pH. Temperature is
measured through the transistor, pressure is measured
through the movement of core inside the coil, and pH is
measured using the AgCl electrode. RD is a Zener diode
used for voltage regulation. The cylindrical pill-shaped
Figure 3. Circuits used in earlier capsules: (a) a pressure- and temperature-measuring capsule (16); (b) a pH, temperature- and pressure-measuring capsule (7); and (c) a pressure-measuring radio pill (19).
Figure 4. Structures and package styles of earlier capsules in 1950s and 1960s: (a) pressure-measuring capsule (16); (b) pressure-sensitiveradio transmitter (17); (c) a pH-, temperature- and pressure-measuring capsule (7); and (d) mechanical layout of pressure measuring radioin Reference 19.
Wireless Endoscopy 3
capsule had 8mm in diameter and 25mm in length
(Figure 4c).
Another FM oscillator-based design shown in Reference
19 measured pressure using the oscillator circuit shown in
Figure 3c. The design of inductor (L1) was done by winding
around a small ferrite core and placed parallel to a ferrite
disk. The inductance changes as the air gap between this
disk and the core changes, which in turn leads to a change
in the oscillation frequency. The carrier frequency is
selected between 300KHz and 500KHz. The mechanical
layout is shown in Figure 4d. The pill had a battery lifetime
of 80h for recording. The volume of the pill is approxi-
mately 2 cm3 (less than 1 cm� 3 cm).
Current wireless endoscopy devices integrate more
complex systems on the same platform when compared
with the systems in 1950s and 1960s (Figure 5). Recent
significant technology improvements have enabled the
design of small cameras and batteries. In the last 10 years,
research projects examining developing wireless capsules
have concentrated mostly on the visual sensor system. In
2000, First clinical trial of a camera-based wireless endos-
copy (8) has successfully been achieved.
An example of recent wireless capsule design is depicted
in Figure 5. In addition to image data, detection and
subsequent measurement of physiological signals such
as temperature, pH, and pressure, are usually necessary
to improve patient diagnosis, as listed in Table 1. The
image data are obtained from a complementary metal–
oxide–semiconductor (CMOS) camera and is in a digital
format. Physiological signals obtained from inside the
human body are initially analog and go through an ampli-
fication/filtering (A/F) process to increase the signal
strength and to remove the unwanted signals and noise.
A multiplexer is used to switch between each data. An
analog-to-digital conversion (ADC) stage in the microcon-
troller is used to convert the analog physiological signals
into a digital format for digital processing. The microcon-
troller will code the data before the data are sent to the
wireless transceiver. The multiaccess protocol to enable a
multiuser function is implemented in the microcontroller.
A multiuser function would be an important feature if
more than one patient is in the same care room in a
hospital. It contains a battery and power-management
circuitry. The power-management circuit is usually a volt-
age regulator chip used to distribute the power source to
the individual blocks.
Commercial Endoscopy Devices
Table 2 presents the details of commercially available
wireless capsule endoscopy technologies that are being
used in clinical environments. These devices are used
to provide diagnostic images for the esophagus, small
bowel, and the colon, and they can identify the source of
GI bleeding. For example, PillCam SB (Given Imaging,
Yoqneam, Israel), EndoCapsule (Olympus Corporation,
3500 Corporate Parkway, P.O. Box 610, Center Valley,
PA 18034–0610, U.S.A.), andMiroCam (IntroMedic, Seoul,
Korea) capsules are for small bowel. The current wireless
endoscope devices are efficiently being used to diagnose
disorders such as Crohn’s disease, Celiac disease, cancer-
ous tumors, iron-deficiency anemia (IDA), obscure GI
bleeding, and ulcerative colitis.
One state-of-the-art technology for wireless endoscope
devices is PillCamSB 3. PillCamSB 3 recently received the
FDA approval; it uses adaptive frame rate technology to
deliver more detailed images and coverage in the small
bowel (9). It has a physical dimensions of 11mm� 26mm
and weighs less than 4g, transmitting images at a rate
between two and six images per second.
Commonly usedwireless transmission frequencies have
been ultrahigh frequency (UHF) around 400MHz. Given
Imaging devices use the Zarlink’s radio frequency (RF)
chip (20) for wireless transmission in the MICS band
(402–405MHz). The allowable channel bandwidth (BW)
for this band is 300kHz. Because of the limited transmis-
sion bandwidth used for the commercial capsule devices,
the image transfer rate has been limited to 2–35 frames per
second. As high-definition cameras continue to be devel-
oped, they will become more attractive for use in wireless
capsule endoscopy devices. A higher pixel camera will
require higher image transfer rate. Thus, future wireless
capsule devices will target higher-bandwidth data trans-
mission that could facilitate a better diagnosis.
Table 1. List of Sensors Used Inside Wireless Endoscopy Devices
Devices Signal Types
Camera Camera images (data rates:
�10Mbps)
Temperature Physiological signal (30�C
to 40�C)
Oxygen Physiological signal
Pressure Physiological signal
pH value Physiological signal (1–13)
Figure 5. Sample design of recent wireless capsules.
4 Wireless Endoscopy
Currently, all video-based commercial systems use LED
illumination. Sayaka, by RF System Lab (Traverse City,
MI), has bothwireless power transfer and localization capa-
bilities. This battery-free capsule contains three rotor coils
for posture control and fourLEDs for focusadjustment. This
capsule with posture and orientation control has the ability
to stay in a specific area of the intestine to obtain higher
quality images. Another endoscope, EndoCapsule, devel-
oped by Olympus Corporation (Tokyo, Japan), was mainly
used in Europe but in 2007 received marketing clearance
fromtheFDA.Thedevice contains sixLEDswithadjustable
illumination to maintain optimal imaging. The capsule by
SmartPill is designed to measure pressure, pH, and tem-
peratureas itpasses through theGI tract.A receivingdevice
worn by the patient collects data that are later examined by
a physician. Another commercially available capsule for
endoscopy isMiroCam. This system has a different wireless
transmission technique than other capsule technologies.
Instead of using RF signals to transmit images, MiroCam
uses natural electrical impulses in the human body as the
transport medium (21). Figure 6 presents the physical
shapes of commercial capsules.
Current video-basedwireless capsule developments will
continuously be improved to have better features. For
example, at the moment they have an average battery
life of 8 h and provide 2–35 frames/s transmission. A
high-capacity radio system is currently necessary for
this technology to examine visually the digestive tract
wirelessly with a better resolution. In most of capsules,
small batteries are used to supply the energy to the elec-
tronic boards. A wireless power mechanism either charg-
ing a battery externally or directly powering from an
external wireless source will be a significant design
improvement for wireless capsule endoscopy technology.
Wireless Power Link
A critical challenge for wireless capsule devices is the
limited energy source. Currently, the battery in wireless
capsules provides the energy to the active electronic com-
ponents in the device. Although miniature rechargeable
battery technologies are available, the lifetime they pro-
vide may not satisfy the desired operation time for detect-
ing and transmitting useful data. One way to enhance this
operation lifetime is to charge the battery wirelessly.
Inductive links have been used to power medical
implants to eliminate the use of batteries or to charge
batteries to extend the lifetime of the implants (22). Unlike
Table 2. Comparison Of Commercial Wireless Capsule Devicesa
Model Company
Camera
(Sensor)
Frequency
(MHz)
Data
Rate Power Source
Physical
Dimension
Image Rate
and
Resolution
Operation
Time
PillCam
(SB 1)
(SB 2)
(SB 3)
Given Imaging Micron, CMOS 402–405 &
433 ISM
(Zarlink)
800kbps
(FSK)
Battery 11mm�26mm,
<4 g
2–6 images/s 8 h
256� 256
pixels
50,000
images
PillCam
ESO 3
Given Imaging Two cameras,
CMOS,
256� 256
pixels
Battery 11mm�26mm,
3.7 g
35 images/s,
2,600
images
30min
PillCam
Colon
Given Imaging Two cameras,
CMOS,
256� 256
Battery 11.6�31.5mm,
2.9 g
4–35 images/s 10h
144,000
images
EndoCapsule Olympus
Optical
CCD camera,
1920� 1080
— — Battery 11mm�26mm,
3.8 g
2 images/s 8 h
Sayaka RF System Lab CCD Image
sensor
— — Wireless
power
9mm�22mm 30 images/s 8 h
(870,000
images)
MiroCam IntroMedic 320� 320
pixels
12MHz body
as trans.
Channel
(HBC)
— Battery 11mm� 24mm
3.3 gr
3 images/s 11þ h
(118,800
images)
OMOM
capsule
ChongQing
JinShan
Science &
Technology
640� 480 — — Rechargeable
battery
13mm� 27.9mm,
<6 g
2–15 frame/s 8h
SmartPill Smartpill Corp. Acidity (pH),
pressure,
and
temperature
— — Battery 13mm� 26mm Only sensor
discrete
data
—
aAll data within this table are obtained from the follownig websties: www.givenimaging.com, http://www.olympus-europa.com/endoscopy/,
www.rfsystemlab.com, and www.smartpillcorp.com.
Wireless Endoscopy 5
the short-range inductive implant systems where the wire-
less link has a distance of 1–2 cm (centimeters), wireless
capsule devices are placed deep inside the body with a
distance of up to 10 cm or 20 cm for some patients and thus
require a long range wireless transfer (2). The length and
width of commercially available wireless capsule devices is
usually 26mm� 11mm, which is barely smaller than the
average diameter of the adult upper esophagus. Wireless
power can substantially reduce the overall size and weight
because the need for batteries is eliminated.
As described previously, the study of wirelessly ener-
gizing wireless capsule devices started with the develop-
ment of the early capsule devices. The designs discussed in
References 7, 23, and 24 used an inductive link for wireless
power transfer. One or two large circle-shaped coils as
shown in Figure 7a are placed around the human body
Figure 6. Wireless video capsule endoscopes: (a) PillCam SB2 (Given Imaging), (b) MiroCam (IntroMedic, Seoul, Korea), (c) Endo Capsule(Olympus Corporation), and (d) OMOM (Jinshan Science and Technology, Chongqing, China).
Figure 7. Wireless power link using a class E driver for energy transfer in wireless capsule applications: (a) using a Helmotz coilconfiguration for wireless energy transmission; or (b) using an array of power transmitting coil for wireless energy. (c) Class E powertransmitter and receiver circuits.
6 Wireless Endoscopy
to energize the capsule placed inside the body by an
external source. These earlier battery-less devices operate
based on passive telemetry. They use a resonant circuit
whose characteristic frequency is sensed from outside. It
operates exactly in the similar fashion with the radio-
frequency identification (RFID) technology. The capsules
with wireless power source are generally smaller in size
than a battery-powered capsule in addition to the
unlimited lifetime they provide.
Figure 7b shows another efficient and less complex
structure to energize wireless capsules inside the human
body.With the use of multiple arrays of coils, in which each
array transmits a power signal, the device inside the
human body will receive energy even if it moves in the
digestive system (25).
The autonomous robotics capsule device in (13) uses
wireless energy for power supply. It successfully provides
a wireless power source more than 400mW. The device’s
drivingsource isbasedonadirect current (dc)motorused for
the linear actuators of the microrobot. A very low (10KHz)
transmitting frequency is used for wireless power to reduce
humanbody absorption.Another study implements amulti-
coil technique for inductive powering of an endoscopic cap-
sule (12,15).ThesystemisshowninFigure8,whichconsists
of external two Helmholtz coils transmitting energy to a
9-mm three-dimensional (3D) coil power receiver (similar to
Figure 7a). Three orthogonal coils have been designed for
receiving energy to supply the power to the device. The
wireless power link is able to transmit a power around
300mW at 1MHz transmission frequency, which is suffi-
cient enough for use in locomotion-based systems.
A block diagram of an inductive link used for wireless
power transmission system is depicted in Figure 7c. The
power signal is sent from the primary site (i.e., external
unit) to the secondary site using two coils. A class-E
transmitter is preferred to achieve a highly efficient power
transfer (15, 22). The transistor device (i.e., T1 transistor)
acting as a switch is driven by a square wave at an
oscillation frequency fosc. The network’s resonant fre-
quency should be the power transmission frequency and
is given by equation 1. The capacitor C2 connected in series
with the transmitting coil (L2) is acting as a dc-blocking
capacitor, and its value should be small enough to be
nearly resonant with L2.
f osc � 1= 2pffiffiffiffiffiffiffiffiffiffiffi
L2C1
p
� �
¼ 1= 2pffiffiffiffiffiffiffiffiffiffiffi
L3C3
p
� �
(1)
It is clear from the battery-less systems that it is necessary to
bring the power transmitter very close to the skin. This way,
a wireless power system can transfer energy through the
10- to 20-cm thick skin to reach the device inside the body
(26).
As described previously, a wireless capsule device can
also be used as a method of drug-delivery systems. Such
capsules should be controlled mechanically to navigate the
device to the correct location. This will require a wireless
energy capability tomaintain sufficient energy in a capsule
device to achieve the required navigation and motion
control.
Wireless Communication Links
It is commonly known that propagation through the body
has higher losses at higher frequencies, and the character-
istics vary depending on characteristics of the antenna. It
is therefore important to optimize the through-body signal
propagation together with the antenna to obtain optimum
antenna radiation at the design frequency (27). Unlike the
wireless transmission in the air, the signal propagates
through a few layers of skin when a wireless capsule is
making its journey. Because of the different tissue layers,
the signal propagation will have different electrical prop-
erties in the intestine system with the dielectric constant
ranging from 40 to 70 and the conductivity in the range of
0.7 to 1.9S/m (28). The wireless capsule endoscopy com-
munication system should be optimized according to these
characteristics and should have following features:
� Compact and forming a pill shape
� Low power
� Wideband for high-quality image data transfer
A communication between the capsule and the external
unit should be formed using an appropriate frequency
band. Commonly used frequency bands are UHF-433
MHZ ISM, MICS, and UWB. International communica-
tions authorities allocate the 401–406MHz band with
300-kHz channel bandwidths for communication between
an implanted medical device and an external controller.
TheMICS band has been the most popular frequency band
choice and is used in Given Imaging’s wireless capsule
endoscopy devices. The narrowband-based transmitter
designs including 433 MHZ and MICS bands can support
only a few hundred kilobytes per second (2). It is thus
necessary to use higher frequencies with wider bandwidth
to achieve a similar video quality obtained with that of
wired endoscopy systems.
As high-definition cameras are continuously being
developed, they will be attractive for use in wireless
Figure 8. Nine-millimeter power-receiving coils and capsule pro-totype implementation. The capsule system uses a Helmholtz coilmethod and class E power transmitter for wireless energy trans-mission (12).
Wireless Endoscopy 7
capsules. However, a higher pixel camera will require a
higher image transfer rate. As an example, if 1920� 1080
pixel (2 megapixels) charge-coupled device (CCD) sensors
to be integrated in capsule device, it will require a data rate
of 33.2Mbit/frame, considering 2 bytes are used per pixel.
Currently, such a high data rate transmission is not pos-
sible with any of the available frequency bands. If UHF
frequencies are used because of the restricted bandwidth,
then transmission of such a rate will result in a transmis-
sion time of 10 s per frame or more, which will result in
very small motion for a video streaming. Although com-
pression techniques could be used to some extent (29), it
reduces the image equality. Thus, a wireless capsule
endoscopy device should use a frequency band with larger
bandwidth for high-definition image transmission.
Wideband (Including UWB) Communication Link. Awire-
less endoscope is a biomedical system requiring a large
amount of data that will be delivered to outside the body to
achieve high-resolution pictures and images. For high-
data-rate and short-range applications, wideband commu-
nication (e.g., UWB) is an ideal physical layer solution by
achieving a data rate equal or higher than 100Mbps (30).
The UWB communication uses an operation frequency
higher than 3GHz (3.1–10.6GHz). A wideband wireless
capsule device can transmit raw video data without any
compressing, resulting in low-power, less delay in real
time, and increased picture resolution. With a high-defini-
tion camera such as 2 megapixels, UWB telemetry can
easily transmit up to 10 fps or more.
In addition to its high-capacity wireless link, a wideband
telemetry link can have some additional benefits because it
operates based on pulses rather than sinusoidal carrier
signal, enabling the low-power transmitter to increase the
battery life and decrease the interference effect on the other
wireless systems inmedical centers. A high-frequency com-
munication requires small electronic components such as
capacitors and inductors, which helps to design a compact
communication system. The radio signal propagation
through tissue layers at the GHz frequency presents signif-
icant signal loss, and thus designing UWB link for wireless
capsule is a challenging task. Recent developments have
shown that through careful arrangement of signal power
and optimizing channel model between the capsule and the
receiver, aUWBcommunication linkcanbeestablished that
can enable a high-capacity wireless link for high-quality
video data transmission (10, 30–33).
Ultra-wideband communication transmits data using
short pulses with 1nswidth or shorter. It is easier to obtain
a modulated transmit signal with pulses compared with
narrowband-based continuous signal transmission. Gen-
erating an ultra-wideband signal for data communication
is more energy efficient. There have been different meth-
ods of generating transmission pulses to obtain wideband
(34, 35). Figure 9 shows a very low-power circuit technique
to generate narrow pulses and hence a wideband spec-
trum. As illustrated in Figure 9, a reference oscillator
signal is digitized and its delayed replica is passed through
the Exclusive-OR (XOR) gate to obtain a narrow square
pulse (i.e., UWB pulse). After the signal is mixed with the
medical data, the modulated signal is then passed through
a band pass filter. The signal at the output of the filter is a
wideband signal that can carry a large amount of data
(Figure 9b).
In addition to its high-data-rate capability, UWB tech-
nology provides some desirable advantages for wireless
capsule technology including low-power transmitted
design, low radio frequency and electromagnetic interfer-
ence (EMI) effects in medical environment, and a size
antenna. Unlike the narrowband technologies, UWB can
support scalable data rates. For example, it can easily be
designed to transmit from 10Mbps to 100Mbps without
introducingmuch complexity in the hardware. In addition,
UWB frequency bands are less crowded; thus, it will
provide robust and reliable data communication from
the capsule to the external monitoring device.
Wireless capsule devices are located in the body with a
distance of up to 10 cm. Thus, accurate knowledge of the
propagation though inhomogeneous structure body is
required to optimize a UWB-based wireless communica-
tion link. The performance of the communication link is
affected by the dielectric properties of the human tissues,
x(t)
Delay
τ
a(t)
Band Pass
FilterXOR,
AND..etc
Inverter/
bufer
A
τ
Less than 1 ns
Narrow pulse
Digitised
signal
(a)
AntennaImage data
fosc.Tosc.
0
–50
–1000 2 4 6 8 10
(b)
dBm
Figure 9. Wideband signal-generation technique.
8 Wireless Endoscopy
in addition to the distance between the transmitter
inside the capsule and the external receiver. Several stud-
ies in the literature have reportedUWB channel character-
istics that can be used to configure transmitter and the
receiver parameters such as transmit and receive power
levels and the sensitivity (32, 36). Figure 10 demonstrates
a simulation result for UWB signal propagation through
the different tissue layers of the digestive system (32).
Assuming the distance from theGI tract to the skin surface
is about 8–9 cm, a receiver can easily be placed around the
human belt or up to 10–15 cm from the wireless capsule
accommodating a signal loss from �80dB to �90dB.
Assuming a UWB transmit signal has a power level
between �10dBm and 0dBm, a receiver with a sensitivity
of �100 dBm or �90dBm is required to detect UWB
signals.
Several path loss studies for in body applications are
demonstrated in Figure 11. The loss is plotted against
its actual depth inside the body to a body surface device
(11, 37, 38). Characteristics for commonly used frequencies
are presented for a reference to the in-body UWB commu-
nication link. Table 3 gives average loss values for various
transmission frequencies within the human body. It is
clear that the loss varies from 40 to 90 dB when a wireless
link is used for wireless capsule applications, depending up
the frequency selected. Therefore, the designers should
consider accommodating this type of loss when designing a
wireless link for a wireless capsule device.
A simulation shown in Figure 12 was conducted in
Reference 32 to obtain the corresponding temperature
increase for different UWB signal power levels absorbed
by the human body. The temperature increase is obtained
after the steady state is achieved. The simulation considers
the variation of basal metabolic rate and blood perfusion.
The initial body temperature is considered to be 37�C. The
results in Figure 12a illustrate that the temperature of the
whole body has increased to 37.173�C from the initial body
temperature of 37�C. In short, the selected signal power
Figure 10. Path loss in different tissue regions with the distance from the antenna toward the front of the human body (32).
Figure 11. Implant to body surface path loss studies: (a) a path loss study for in-body UWB communication link conducted in (11) and (b) apath loss study for implant to body surface at MICS frequencies (403.5MHz) (37).
Wireless Endoscopy 9
levels of UWB pulses are not high enough to cause a
significant temperature increase.
It is necessary to analyze the electromagnetic effects of
UWB signals. Specific absorption rate (SAR) and specific
absorption (SA) are two indicators measured to define the
safety limits of absorbed electromagnetic power by the
human body. The internationally recommended SAR level
regulated by the International Council on Non-Ionizing
Radiation Protection (ICNIRP) standard and the Institute
of Electrical and Electronics Engineers (IEEE), standard is
2W/kg, which is 10 g averaged in the frequency range of
10 kHz to 10GHz (39, 40). Usually the ICNIRP regulated
SAR level of 2W/kg determines the maximum allowable
delivered signal power to the antenna for UWB communi-
cation (32). The exposure of electromagnetic fields produc-
ing higher than 2W/kg can cause an increase in body
temperature that could affect the biological mechanism
of the human body. The SAR variations for the power levels
that are shown in Figure 12 meet the limit of 2W/kg
defined by the safety standards.
Antenna Design
The antenna is a crucial element in a wireless capsule
endoscopy device. The design method used for antennas in
wireless capsules is the optimization of an antenna with
respect to a range of tissue properties surrounding the
device (27) (as shown in Figure 1b). A device that travels in
the GI system comes into contact with various tissue types
and fluids, which have variable permittivity and conduc-
tivity. In addition, it is important to consider the physical
shape of a wireless capsule package when designing an
antenna. The antenna can be inserted on top of the elec-
tronics boards. Alternatively, the capsule shape can also be
divided into two regions where the antenna can be placed
into the upper half whereas the remaining electronic units
are packed into the lower half. Placing the antenna at one
side of the electronic units in the capsule is another possi-
bility. Recent antenna designs in the literature that use
the shape of a capsule efficiently are shown in Figure 13.
One of the earlier antennas designed for capsule endos-
copywas reported inReference 41,with dimensions of 8mm
diameter and 5.6mm height. The antenna was matched in
the band 410–442MHz inside a homogeneous tissue simu-
lating phantomwith a dielectric constant 56 and conductiv-
ity 0.8S/m. The antenna has seven loops with 0.5 conductor
width (Figure 13b). The antenna demonstrates an omni-
directional radiation pattern to obtain a signal independent
of the transmitter positions.Thebandwidth enhancement is
achieved by connecting the end of the helical antenna to the
ground. A similar antenna (42) reported by the same
authors has a conical helix shape and can be placed at
the top or bottom site inside a cylindrical capsule. The
antenna has bandwidth of 101MHz from (418MHz–
519MHz) with an omnidirectional radiation pattern. It
has a diameter of 10mm and a height of 5mm. A modified
stacked spiral-shapedwideband antenna for capsule endos-
copy that operates from411MHz to 600MHzwas presented
in Reference 43. In this antenna, two spirals are connected
to a feeding line and it has a diameter of 10mm and a
height of 7mm. Two spirals have about five turns and are
separated with a gap of 4mm (Figure 13c).
In Reference 44, another spiral antenna for a wireless
capsule endoscope system was presented. The antenna has
successfully been used in wireless telemetry based on ON-
OFF keying (OOK) modulation with 340� 340 pixel image
transmission. This design is similar to those in References
42 and 43 operating at 500MHz with bandwidths of
104MHz. The spiral antenna is structured on a 1-mm-thick
ground plane based on a spiral armwithwidth of 4mm. The
antenna has a diameter of 10mm and a height of 5mm.
Some researchers have investigated antenna designs
printed directly on the surface of the capsule casing. For
example, the antenna shown in Figure 13f (45) was pro-
posed for wireless endoscope systems. The antenna oper-
ates in the 1.4GHz telemetry band and considers the
presence of the small intestine and other tissue materials.
The antenna has good polarization characteristics that
support various orientations of the capsule and has a
dipole-like radiation pattern with an omnidirectional pat-
tern in two planes. The antenna is designed taking into
consideration the average body permittivity of 58.8 and a
conductivity of 0.84S/m.
Figure 13a shows a UWB antenna designed for wireless
capsule applications (46). This antenna operates from 3 to
5GHz to enable a large bandwidth for a high data rate
transmission. Another UWB antenna (Figure 12e) for
capsule applications is described in Reference 47. It is
based on a planar loop antenna. It operates in the UWB
low band of 3.4GHz to 4.8GHz. A compact monopole spiral
antenna based on medical implant band (MICS) is
presented in Reference 48. It has dimensions of 7mm�14mm. The length of the wire used to form the spiral
Table 3. Average Path Loss Measurements of Different
Tranmission Frequencies (The External Receiver is on the
Surface of the Body)
Antennas Loss Frequency Penetration
UWB (32) �86dB 4GHz 10 cm
UWB (11) �80dB 4GHz 7 cm
MICS (37) �60dB 403.5MHz 10 cm
418MHz (38) �21dB 418MHz 3 cm
916MHz (38) �27.5 dB 916.5MHz 3 cm
Figure 12. Side view of the temperature variation in the humanfor infrared-UWB signals with peak spectral input power limit of(a) �41.3 dBm/MHz and (b) �1.33dBm/MHz, and a total signalpower of (a) 0.0024mW (SAR¼0.2mW/kg) and (b) 24mW (SAR¼ 2W/kg) (32).
10 Wireless Endoscopy
antenna is 26mm, which is a quarter wavelengths for the
frequency of 402MHz for a permittivity er of 55 and a
conductivity of 0.7 S/m. The antenna is designed on a
substrate with a relative permittivity of 2.2 and a thick-
ness of 0.5mm.
The main differences between in-body antennas and
external antennas are the strict size constraints and
demand for high efficiency. Substrates with high dielectric
constants are helpful in miniaturization, but the increased
conductivity of the body tissues with frequency becomes an
important problem for antenna operation (27, 46).
Table 4 summarizes the existing antennas described in
the literature in terms of their operation frequency, size,
and S11 performance. The operating frequency bandwidth
(BW) of antennas is obtained by the �10-dB band. It is
important to use a wide BW antenna because a communi-
cation system for wireless capsule endoscopy technology
will work efficiently despite the frequency shift in the
antenna operation. The signal transmission will still fall
within the�10-dB frequency BW. Awide BWwill be useful
for video-based wireless capsules because of the high data
rate requirement.
LOCALIZATION AND CONTROL TECHNIQUES WITHINTHE GI TRACT
It is essential to have an accurate knowledge of the position
and orientation of the capsule when it moves along
the GI tract where the endoscopic images are captured
(Figure 14). The success of drug administration, follow-up
interventions and other therapeutic operations heavily
depend on the accuracy of this spatial information.
Therefore, having a precise and reliable localization sys-
tem plays an important role in enhancing the capabilities
of a capsule. In general, two localization methods exist: the
magnetic localization methods and the electromagnetic
localization methods (49).
Magnetic Methods
Magnetic localization methods are used because 1) low-
frequency and dcmagnetic signals can pass throughhuman
tissue without any attenuation (50) and 2) magnetic
Figure 13. Antenna designs for wireless capsules: (a) capsule-shaped UWB antenna, (b) helical antenna (41), (c) stacked spiral antenna(43), (d) wideband spiral antenna (44), (e) planar UWB loop antenna (47), and (f) conformal dipole antenna (45).
Table 4. Comparison of Antennas for Wireless Capsule Devices
Antennas
�10dB
frequency
band
Dimensions
(mm�mm)
S11 @ central
frequency (dB)
UWB (46) 3.1–5GHz 23� 9 �14
Planar loop
UWB (47)
3.4–4.8GHz 11mm
diameter
�20
Spiral dipole
(45)
1.4GHz 12.25�9.6 �14
Spiral (44) 446–550MHz 5�10 �27
104MHz BW
Stacked
spiral (43)
411–600MHZ 7�10 �20
189MHz BW
Conical
spiral (42)
418–519MHz 5�10 �18
101MHz BW
Helical (41) 410–442MHz 5.6�8 �12
32MHz BW
Spiral
antenna
(48)
401–406MHz 5�5 �13 (402MHz)
Wireless Endoscopy 11
localization is a non–line-of-sight method, in which the
capsule does not need to be in the line of sightwithmagnetic
sensors in order to be detected (51). In addition to being used
for the localization, the negligible interaction between the
magnetic field and the human body is also employed to
establish locomotion systems that can guide endoscopic
capsules magnetically such as robotic magnetic steering
(52–54), helical propulsion by a rotational magnetic field
(55–58), magnetic levitation (59, 60), and remote magnetic
manipulation (61). Furthermore, a localization system can
be used to provide feedback control information for an
actuation system (62). In this regard, the actuation and
localization systems should work together during a diag-
nostic procedure. However, the interference between the
two magnetic fields is a challenging research problem (49,
52, 63). Depending on how a capsule is propelled in the GI
tract, the magnetic localizationmethods can be divided into
two distinct classes.
Magnetic Localization of Capsules Under Natural Peristal-sis. Amagnetic source and a sensor are themost important
elements of a magnetic localization system. A stable and
reliable source of the magnetic field is essential for any
real-time magnetic localization system. Depending on how
the magnetic source is created and whether the capsule
acts as a field generator or contains a sensor, the localiza-
tion systems in this group are divided into three
subgroups.
In the first subgroup, a permanent magnet, which is
placed in the capsule, creates a uniformmagnetic field. The
magnitude and direction of the magnetic field depends on
the magnet’s position and orientation. Magnetic sensors
placed on the exterior of a patient’s body measure the
magnetic field. An analytical mathematical model describ-
ing the relationship between the magnetic field strength
and location of the permanent magnet can be employed to
determine the position and orientation of the capsule, i.e.,
to localize it. For example, if the magnet is modeled as a
magnetic dipole, then themagnetic flux density around the
dipole source is given by (64)
~B ¼ Bx~i þ By
~j þ Bz~k ¼
m0
4p
3ð~m �~rÞ~r
~rj j5�
~m
~rj j3
!
(2)
where Bx, By, and Bz are the components of the magnetic
flux density; ~m is the magnetic dipole moment of the
magnet;~r is the position vector of the magnet; and m0 is
the air magnetic permeability (4p� 10�7 JA�2m�1). The
localization parameters of the magnet (i.e., the capsule)
can be determined from equation 2. Weitschiles et al.
(65, 66) have employed this technique with a 37-chan-
nel, superconducting quantum interference device sen-
sor system to monitor the position of the capsule in the
GI tract, without considering the capsule orientation.
However, one issue associated with this position mon-
itoring system was that it had to take place in a mag-
netically shielded room to reduce the effect of the
environmental magnetic noise on the measured mag-
netic flux density. Schlageter et al. (67, 68) employed a
two-dimensional (2D) array of sixteen Hall sensors to
determine both position and orientation of a pill-size
magnet coated with silicone. When the magnet with the
volume of 0.2 cm3 moved up to 20 cm from the sensor
plane, its position and orientation were determined at
the rate of at least 20Hz. One limitation of this approach
is that the system’s accuracy drops significantly with the
distance (>20 cm) between the magnet and the sensor
array. Chao et al. (50) employed 50 cm� 50 cm� 50 cm
cubic sensor arrays to deal with this limitation, as
shown in Figure 15. Each of the four sensor planes
contains 16 magnetic sensors. An average position error
of 1.8mm and orientation error of 1.6� were obtained.
Many attempts including using 3D sensor planes
(69–76) have been proposed to enhance the accuracy
and widen the sensing volume of this localization sys-
tem, but with an increased cost and complexity.
Figure 14. Position and orientation of the capsule when it is inside the GI tract.
12 Wireless Endoscopy
To reduce the cost, Aziz et al. (77) proposed a tracking
system based on only three 3-axis magnetic sensors placed
orthogonally in 3D space and an extra sensor for cancelling
environmentalmagnetic noise. A position error of up to 3 cm
was obtained when aF5mm�L6.0mm cylindrical magnet
was tested in a volume of 10 cm� 10 cm� 10 cm. Wu et al.
(78) built a wearable magnetic localization system for the
volumeof40 cm� 25cm� 40 cmwithsixsensingmodulesat
the front frame and the other four at the back frame, as
shown in Figure 16. Each module is composed of six linear
magnetic sensors that form three pairs of back-to-back
sensors arranged perpendicularly to each other in three
dimensions. Each pair is responsible for measuring one
dimension of the magnetic field. In this arrangement, the
top twomodules at the front were employed to eliminate the
interference of the earth magnetic field. Because this local-
ization system is based on the mathematical model of a
magnetic dipole, when the capsule is close to the sensing
module, thismodel is no longer valid, resulting in a decrease
in the localization accuracy (78).
Moussakhani et al. (79, 80) have derived a path loss
model for the wireless channel inside the human body
to simulate the electromagnetic wave propagation in
human tissues. This model is then employed to determine
numerically the theoretical performance limit, which is
reported to be 1 cm. Assuming that the capsule endoscope
contains a cylindricalmagnetmagnetized in the axial direc-
tion, they have theoretically demonstrated that the local-
ization accuracy can be in the order of 2–3mm at best. No
experimental results are presented to substantiate these
claims.
In the second subgroup, a coil is placed in the capsule.
Plotkin and Paperno (81, 82) proposed the idea of tracking
a receiving coil by a large 2D array of transmitting coils.
The magnetic field seen by the receiving coil is given by
~Br ¼~Bt �
~M (3)
where ~M is the magnetic moment of the receiving coil and~Bt is the magnetic flux intensity generated by the trans-
mitting coil. Because~Bt can be expressed approximately by
equation 2, computing the localization data is similar to
that of a permanent magnet. In other words, an optimiza-
tion algorithm can be employed to solve the inverse prob-
lem based on equation 3 once the electromotive force
induced in the receiving coil has been measured. In an
attempt to apply this localization concept to a capsule,
Nagaoka and Uchiyama (83) designed a single-axis coil
with 160 turns of copper wire with the size of F6.5mm�L2.3mm to be inserted into a capsule. A magnetic field
generator placed outside the body produced five alternat-
ing magnetic fields, each with different frequencies. The
electromotive force created by mutual induction was sent
to the outer detector through transmitting 75-kHz signals
from an integrated FM circuit. Because the magnetic field
strength decreases proportionally with the inverse third
power of the distance between primary and secondary
coils, the current flow in the primary coils was controlled
automatically to keep the induced electromotive force
within a constant range. To implement this approach, a
power amplifier was connected to the generator.
The received data at the detector not only were used for
Figure 15. Scheme of the cubic magnetic sensor array and its setup (50).
Figure 16. Wearable sensing modules by Wu et al. (78).
Wireless Endoscopy 13
estimating the capsule’s position but also were used for
providing feedback signals continuously with the power
amplifier. Because the capsule cannot move with a high
speed in the GI tract, such a feedback signal does not affect
the tracking rate of the system (83). Although it was
reported that the system demonstrated an accuracy of
5mm when the capsule was 50 cm away from the genera-
tor, the experiments failed at several locations.
As an example to the third subgroup, Guo et al. (84)
developed another solution for the localization problem by
placing a three-axis magnetoresistive sensor inside a cap-
sule to measure the intensity of the external magnetic field
generated by three energized coils placed on the patient’s
abdomen. The three coils are excited in turn by square
waves with the same period of 0.03 s. At the end of every
cycle, there is a break period of 0.1 s when the coils are not
activated to estimate the Earth’s magnetic field magni-
tude. To obtain the real data of the magnetic field gener-
ated by the coils, the Earth’s magnetic field is subtracted
from the total magnetic field measured by the sensor at the
capsule location. A neural-network algorithm is employed
to estimate the three positional and three angular coor-
dinates of the capsule. However, it must be noted that this
is not a real-time localization system because the estima-
tion procedure is done after the completion of the experi-
ments. Another important point to keep in mind is that
when the sensor is close to the coils (less than 50mm), the
magnetic dipole assumption fails, which causes significant
localization errors. This situation becomes even worse
when the coils’ diameters are increased for enlarging the
localization range (84). Therefore, an improved localization
model based on Biot-Savart law was proposed to replace
the magnetic dipole model (85). It was reported that the
position and orientation errors range from 6.25mm to
36.68mm and from 1.2� to 8.1�, respectively. Eight ener-
gized coils excited by sinusoidal signals instead of square
waves are employed to improve the accuracy of thismethod
(86). After implementing an adaptive particle swarm opti-
mization technique, the mean position and orientation
errors of 14mm and 6.9� were obtained, respectively.
SUMMARY
One disadvantage of the magnetic localization systems
is that all devices or equipment around them must be
nonferromagnetic. Another disadvantage is that their
coverage volume is limited (87). Additionally, how to elim-
inate or minimize the interference between the magnetic
localization and magnetic actuation (if applicable) is a
significant issue. Alternately switching ON or OFF
between the actuation and sensing (localization) has
been suggested to solve this issue (63). But, because of
the hysteresis characteristics of a magnetic field, the
external magnetic field in the actuation mechanism is still
ON for a certain period of time after it has been turned
OFF. As a result, it would be virtually impossible to do a
real-time localization until the external magnetic field has
completely diminished. Needless to say, during the off
period of the magnetic actuation, the capsule may move
to a new position and orientation. In that case, the tracking
system will not provide accurate feedback data for the
actuation system. Another solution for this problem, is
to use a high-frequency alternating magnetic field (88,
89), which is presented in the next section.
Magnetic Localization of Capsules Under ActiveActuation. Magnetic Localization via Measuring High-Frequency Alternating Magnetic Field. The capsule propul-
sion is based on a spiral or spirals assembled on the surface of
acapsule thatcontainsapermanentmagnet (88).Anexternal
rotating magnetic field was generated around the patient’s
bodyusingthreepairs of coils (i.e.,Helmholtz’s coils) placed in
three perpendicular directions to rotate the capsule and
hence propel it forward or backward depending on the direc-
tion of the current applied. The frequency of the rotating
magnetic field should be less than 10Hz because the capsule
isnotallowedtomove too fast in theGI tract.Because the low-
frequency (several Hz) rotatingmagnetic field does not inter-
ferewith a high-frequency (from1kHz to 1MHz) alternating
magnetic field (88, 89), exciting coils were placed around the
patient’s body to produce the high-frequency magnetic field
for localization purposes. The operating frequencywithin the
range of 1kHz to 1MHz is sufficient to avoid the attenuation
of a magnetic field while passing through the human body.
Detecting coil arrays are also placed around the patient to
measure the magnetic field induced by a resonating coil
integrated inside the capsule and thus to determine the
position and orientation of the capsule (90, 91).
Magnetic Localization via Inertial Sensing. The capsule
can be propelled via magnetic steering, for example, using
a 6 degrees of freedom robotic manipulator carrying a
Figure 17. Permanent magnet mounted at the end effector of a 6 degrees of freedom robot and four cylindrical permanent magnets placedin the capsule (52).
14 Wireless Endoscopy
permanent magnet at its end effector, as shown in
Figure 17 (52). A permanent magnet assembled in the
capsule will create a magnetic link between the capsule
and the external permanent magnet and, hence, drag and
steer the capsule in the body. A three-axis accelerometer is
assembled in the capsule to provide the approximate loca-
tion andorientation of the capsule in the digestive tract and,
if needed, to provide valuable feedback data to the actuation
system in order to verify the magnetic link between the
external permanent magnet and the capsule. It was
reported that this system could provide position and orien-
tation accuracies of 3 cmand6�, respectively. Theposition of
the capsule can be estimated from the position of the end
effector as long as the magnetic link is still maintained
during the steering process. This system does not have a
conflict between its actuation and localization modules.
However, the space available in a capsule is limited to
accommodate both the permanent magnet and the inertial
sensor. Perhaps the most significant disadvantage of this
method is that the capsule has to be dragged on the tissue,
which can cause significant damage to the contacting tissue.
Magnetic Localization Via Measuring a Rotational Mag-netic Field from a Permanent Magnet. Kim et al. (92)
assembled a helical structure on the surface of the capsule
and used an externally generated rotational magnetic field
to rotate the capsule containing two permanent magnets.
Instead of using six coils around the patient’s body, a big
parallelepiped permanent magnet consisting of seven
smaller rectangular magnets was rotated to generate
the rotationalmagnetic field. Thismagnetic field generator
was driven by an electric motor mounted on a manipulator
so that it could rotate and be moved while propelling the
capsule, as shown in Figure 18a.
One notable feature of this method is that the external
magnetic field generated for actuation can be used for local-
ization. When the external permanent magnet is spinning,
the magnetic field strength at the capsule location changes
periodically.ThreeHalleffectmagnetic sensorssetuporthog-
onally inside the capsule, as shown in Figure 18b, are used to
provide the capsulepositiondata.Once the capsuleposition is
determined, a rotationmatrix that represents the orientation
of the capsule in three dimensions is obtained by comparing
the three calculated orthogonal components and the three
measured orthogonal components of the magnetic flux
density at this position. This localization system generated
x, y, and z position errors within the ranges of (þ2mm,
þ15mm), (�9mm, þ12mm), and (�10mm, þ3mm),
respectively. The orientation errors were within the ranges
of (�2�, þ13�) in pitch direction and (�4�, þ11�) in yaw
direction.
The methods presented previously can be used for local-
ization and actuation simultaneously. However, they are
costly and bulky and far from being used in clinical appli-
cations yet. Therefore, there is still an increasing need to
establish an effective localization technique.
Electromagnetic Localization Methods
The electromagnetic waves-based localizationmethods can
be used together with the magnetic actuation, which
appears to be a feasible method to remotely propel, localize
and control the motion of the robotic capsules. While radio
waves, visible waves, X-ray, and gamma ray of the electro-
magnetic waves schematically shown in Figure 19 can be
used for capsule localization or tracking, microwaves,
infrared waves, and ultraviolet waves, which have very
low penetrability through the human tissue, are not suit-
able for localization or tracking.
Radio Waves. Although radio waves have been widely
used for locating an object in outdoor and indoor environ-
ments with the accuracy of hundreds of millimeters (93),
applying the radio waves in tracking a capsule within the
GI tract is not straightforward. This is because high-fre-
quency signals attenuate significantly at different levels
when they pass through different human tissues, whereas
low-frequency signals because of their long wavelengths
cannot deliver the desired precision of several millimeters
(76). Based on the radio frequency, received signal
strength indicator (RSSI), angle of arrival (AOA), time
of arrival (TOA), time difference of arrival (TDOA) and
RFID techniques can be employed for localization. Of
these, RSSI and RFID have a practical significance for
the capsule localization. In contrast, TOA is not feasible
because the radio waves travel with a very high speed
(3� 108m/s); thus, an extremely strict time synchroniza-
tion less than 1ns is required to obtain an acceptable
position resolution. AOA is not reliable even in well-struc-
tured environments (94, 95).
Figure 18. (a) Rotating a permanent magnet for generating a rotational magnetic field. (b) Sensor module scheme inside the capsule (92).DoF¼degrees of freedom.
Wireless Endoscopy 15
Received Signal Strength Indicator. The wireless capsule
endoscope is equipped with a telemetry capability. Fisher
et al. (96, 97) used this advantage to measure the strength
of the received RF signals at eight sensors placed uni-
formly on the patient’s abdomen. Thecloser thereceiver is to
the transmitter, the stronger the signal. These signals are
used to determine the position of the capsule. When two
adjacentantennas receive equal strength signals, the capsule
is assumed tobe inbetween them.This localization technique
is being used in the Given Imaging M2A capsule to estimate
the 2D position of the capsule with the accuracy of 3.77 cm.
Although this technique does not require any additional
hardware in the capsule, its lowaccuracymakes it unsuitable
for providing feedback datawith a possible actuation system.
Arshak and Adepoju (95) have proposed an empirical
signal propagation model that describes a relationship
between the RSSI value and distance from the transmitter
to the receiver (98);
RSSIðdÞ ¼ PT � PLðd0Þ � 10n log10d
d0
þ Xs (4)
where d is the distance between transmitter and receiver,PT
is the transmit power, PL(d0) is the path loss for a reference
distance d0, n is the path loss exponent, andXs is a Gaussian
random variable. Equation 4 can be used to determine the
distances between the capsule and each of the sensors. A
trilateration method is used to calculate the capsule location
for these distances from the transmitter to the receivers. In
place of equation 4, Shah et al. (99) proposed an algorithm
basedona lookup table for thepositionestimation. In order to
reduce the estimation error of this method, it is necessary to
develop a more appropriate attenuation model when RF
signal travels within the human body.
Radio Frequency Identification. A cubic antenna array is
built surrounding a patient’s body to receive signals from
an RFID tag placed in a capsule (100–102) (Figure 20). The
center of gravity principle is applied to the collected data to
estimate the position of the tag, which is the position of the
capsule. However, this tracking algorithm produced large
errors because of the limited accuracy of the center of
gravity principle. To deal with this problem (101, 102), a
bidirectional antenna has been used to transmit RF signals
in two opposite directions. The position errors of 0.5 cm in x
and y directions and 2 cm in z direction were estimated
using simulation data. The frequency is limited below the
UHF band for the RF signals in order to pass through the
human body. In this band, it is impossible to generate
directional radiation by a compact antenna less than 1 cm
in length. Another significant drawback of this system is
that when the longitudinal axis of the tag’s antenna is in
the same direction with the main axis of the patient, the
radiation pattern does not intersect with the cubic array,
and thus the matching algorithm will not be able to deter-
mine the position of the capsule. To solve this problem, at
least one more tag in a perpendicular direction with the
first tag needs to be assembled in the capsule.
Another technique for the localization of an RFID tag
placed in a capsule is based on phase difference. In a
system with one transmitter and several receivers, the
Localization of WCE
Ra
dio
wa
ves
10
7 -
10
9 H
z
Mic
ro
wa
ves
10
9 –
10
11 H
z
Infr
ared
10
11
– 1
014 H
z
Vis
ible
wa
ves
10
14
– 1
01
5 H
z
Ult
ra
vio
let
10
15
– 1
01
6 H
z
X-r
ay
10
16
- 1
01
9 H
z
Ga
mm
a-r
ay
10
19
– 1
020 H
z
Figure 19. Electromagnetic waves for wireless capsule endoscopy localization.
Figure 20. Antenna array and radiation pattern of RF signals transmitted from an RFID tag (101).
16 Wireless Endoscopy
RF waveforms at the ith receiver can be described by the
following equations (103)
IiðtÞ ¼ Ai cosð2pðf r � f cÞtþ fiÞ þ sini1
QiðtÞ ¼ Ai sinð2pðf r � f cÞtþ fiÞ þ sini2(5)
where I(t) and Q(t) are the in-phase and quadrature com-
ponents of the signal; Ai, fr, fc, f, s, and n denote the
received signal magnitude, the frequency at the receivers,
the carrier frequency, the phase difference between the
carrier at the tag and the carrier at the receiver, the noise
level, and Gaussian noise, respectively. Hekimian-
Williams et al. (103) showed that although the exact phase
value (1i) of a single signal received at an antenna cannot
be used to calculate the distance that the signal has
traveled, the phase difference (1i �1j) between signals
within the same burst arrived at different antennas can be
employed for the location estimation. Wille et al. (104)
developed an RFID navigation system using the phase
difference to track medical instruments such as needles
or catheters. Support vector regression (SVR), a machine
learning algorithm, was applied to estimate the position of
the RFID tag by employing the phase difference data
collected at different RFID receivers. Although the exper-
imental results indicate the feasibility of the phase differ-
ence method for accurate localization of RFID tags, a lot of
improvements are needed before applying this method to
capsule tracking. The reason is that two important factors
that could affect the accuracy of the localization method
were ignored during the experiments. One of these factors
is the orientation of the tag, which was kept constant in all
of the tests. The second factor is that the attenuation of the
RF signals through the human body was not considered.
Visible Waves. Even though visible waves cannot pene-
trate the human body, it has still been considered for the
capsule localization through computer vision (105–107).
These localization methods provide only basic information
about the location of a capsule, which is not sufficient. There-
fore, the localization information can be considered only as
referenceorcomplementary information for theendoscopists.
X-Ray. X-rays can be employed to track an endoscopic
capsule. Fluoroscopy, which is a type of imaging tech-
nique based on the X-ray radiation, is used to display
continuous X-ray images in real-time, which shows the
location of the capsule (53). However, this method can
only supply visual information of the capsule location via
radiation images. It is impossible to obtain actual param-
eters of its position and orientation to serve as feedback
data for an actuation system. Aiming to solve this issue,
Kuth et al. (108) proposed a method that takes advantage
of both X-ray imaging and image processing for automat-
ically determining position and orientation of the wire-
less capsule endoscopy.
Gamma Ray. Gamma rays are used in gamma-
scintigraphy technique to visualize the position of anEnter-
ion capsule, a drug-delivery type capsule, in real time (109).
The capsule that is loaded with gamma-emitting radioiso-
topes can be detected by scintillation cameras. Because
gamma rays are partly absorbed by the human tissues
when they travel from the radioactive source to the camera,
both dorsal and ventral images are taken to enhance the
tracking accuracy (110). However, similar to an X-ray–
based localization system, this method can be harmful to
patients.
Recently, Than et al. (111) used gamma rays to estimate
the position and orientation of the capsule in a phantom
replicating the conditions in the human body. No battery
consumptionandzero spaceoccupation inside the capsuleare
the primary advantages of this localization method. This
method can provide less than 0.5mm position error, and
2.1� orientation error in a localization time interval of
50ms with an average computational time of 7ms per time
interval. These are the best localization performance data
reported in the literature.
Other Localization Methods
Magnetic resonance imaging (MRI) and ultrasound,
which are the widely used diagnostic imaging techniques,
can be used for localization (112–116). The need for
custom-programmed pulse sequences, which are differ-
ent from the standard pulse sequences of commercial
MRI scanners, would be a disadvantage for anMRI-based
method (117, 118). In contrast, although the bones and
gas shield ultrasonic signals (119), the localization
method based on ultrasound offer the features of high
speed, safety, and low cost (120).
Comparison and Discussion
As presented in Table 5, the approaches that have a
promising potential for an accurate localization are either
influenced by the magnetic field to be used for actuation or
too complex and still at their proof-of-concept stage. The
next generation wireless capsule endoscopy is expected to
have full robotic capabilities (121, 122) such that it will be
able to accomplish both diagnosis and disease treatment.
To deliver these functions, building a complete localization
system, which is reasonably accurate in real time, mini-
mally invasive, able to work with an active actuation
system, and easily implementable, is greatly desirable.
This is a significant challenge for researchers to address
within the next 5 years. Possible solutions include design-
ing novel approaches, improving the proposed methods, or
even developing hybrid strategies to exploit a combined
advantage of different techniques.
ROBOTIC WIRELESS CAPSULES AND DESIGNCONSIDERATIONS
Minimally invasive surgery uses cutting-edge technology
to diagnosis and implement therapy with the expected
advantages of fewer traumas to the body, a shorter recov-
ery time, and shorter hospital stay than traditional surgi-
cal methods. Wireless capsule endoscopy is one of the
successful medical technologies for the minimally invasive
surgery (123). Recently, substantial national and interna-
tional research efforts have been directed to actively propel
the capsule endoscopy and accurately localize it in order to
Wireless Endoscopy 17
enhance its diagnosis and therapy features, and hence to
make it a truly robotic minimally invasivemedical device. To
this end, on-board and off-board activation propulsion con-
cepts have been proposed and demonstrated under overly
simplified operation conditions. The literature contains sev-
eral propulsion systems such as earthworm-like (124, 125),
paddling-type (126, 127), legged (128), electrically driven
(129), and propeller-driven (130) capsules. All of these sys-
tems require onboard batteries or an energy source to
provide power to the locomotion systems. Because the
size ofwireless capsules is of primary importance, it is better
to take the power supply out of the capsule so that more
space can be saved for other functional modules and the
operation time can no longer be limited. To achieve this, the
magnetic actuation is considered as the best choice to propel
a robotic capsule externally with an on-board magnetic
source (130–132). In addition to these efforts, there is a
need to incorporate biopsy, suturing/clipping, and on-site
drug-delivery and other similar medical interventional
capabilities into a robotic capsule to widen its versatility
and effectiveness in diagnosing, and treating abnormalities
related to the GI tract (133–136).
One effective and straightforward method to propel a
robotic capsule is to generatemagnetic gradient fields (via a
Maxwell coil system),which inducesadirect pulling force on
a robotic capsule containing a permanent magnet
(137–140). Anothermethod is to assemble a spiral structure
on the outer surface of a magnetic capsule and then use
magnetic torques to rotate the capsule, as shown in
Figure 21. When the helices interact with the working
Table 5. A Comparison of the Key Methods Presented in this Study.
Take Extra
Space of the
Capsule
Consume Extra
Power of the
Capsule Accuracy
Interference with
Magnetic Actuation
Real
Time
Adverse
Health
Effects
Magnetic
localization
(passive WCE)
Permanent magnet
(50, 78)
Yes No High Yes Yes No
Secondary coil (74) Yes Yes Moderate Yes — No
Magnetoresistive
sensor (84–86)
Yes Yes Moderate Yes No No
Magnetic
localization
(active WCE)
HF alternating
magnetic field (90,
91)
Yes No High No Yes —
Inertial sensing (52) Yes Yes Low No — No
Rotating external
permanent magnet
(92)
Yes Yes Moderate No — No
Electromagnetic
waves
Radio frequency (96,
97)
No No Low No Yes No
Visible waves (105,
107)
No No Low No — No
X-ray (108) No No — No Yes Yes
Gamma ray (109, 110) Yes No — No Yes Yes
Others MRI (112, 114) Yes Yes High — Yes Little
Ultrasound (115, 116) Yes Yes — No Yes Little
aThe accuracy may be “high” (position error <2mm), moderate (position error is from 2mm to 20mm), or low (position error >20mm).
The — symbol within a cell indicates that the information is unknown.
Figure 21. (a): Propulsion of a millisized robotic device with spirals. The cylindrical shape will be the initial shape for performanceoptimization studies. (b) The propulsion concept based on a rotational magnetic field.
18 Wireless Endoscopy
environment (fluid or solid) inside the organ, themicrorobot
canbepropelledbyconverting the rotation toa translational
movement like a screw (141–145). To induce a magnetic
torque constantly on this kind of spiral-type microrobot for
medical use, a rotating magnetic field with uniform magni-
tudes is required. As far as generating external magnetic
fields is concerned,electromagnets showbetterperformance
than permanent magnets in terms of controlling the field
strength and direction (130). Therefore, an electromagnetic
system should be employed as the external magnetic source
when accuracy is at a premium.
The passive capsules are moving under the natural
peristalsis within the GI tract (that is, the contraction of
smooth muscles to propel contents through the digestive
tract). They cannot be stopped or turned around while
within the body, and they cannot be actively navigated in
the GI tract. These distinct disadvantages greatly diminish
the effectiveness of these capsules for accurate diagnosis
and limit therapeutic capabilities. Therefore, significant
research efforts and resources have recently been directed
toward making the wireless capsule as an actively control-
lable “capsule robot” to realize diagnostic, therapeutic, and
surgical functions, such as noninvasive GI surgery and
targeted drug delivery (4, 119, 138, 146–148).
Traditional Robotic Approaches. Despite the significant
research progress in the traditional macrosized robotic
systems, the progress in miniaturized robotics has been
limited because of the difficulties associated with powering
and actuating them using onsite means, such as an electric
motor and a battery with enough energy density (119). The
existing actuation and power supply cannot be scaled fur-
ther to realize functional in-body robotic systems.This isnot
a feasible and practical method for functional in-body
robotic systems because a battery with required energy
density will increase the physical dimension of the system.
Magnetic actuation is of particular interest forminiaturized
robotic systems operating in confined spaces as a magnetic
force acts without any physical contact over large distances.
Swimming Microrobots. Some studies have proposed
propulsion concepts for magnetically propelled swimming
robots for operation within veins and arteries (149–153).
Most of these studies are empirical studies characterizing
the behavior of microrobotic devices experimentally and
using simplified mathematical models to understand the
theory behind their operation. Abbott et al. (149) have
compared three possible biologically inspired propulsion
methods based on external magnetic actuation for swim-
ming microrobots. Martel et al. (153) has pioneered the
research and development of 1) magneto-taxis propelled in
the blood vessels by magnetic gradients generated by a
magnetic resonance imaging (MRI) system and 2) develop-
ment of new microelectromechanical and nanoelectrome-
chanical systems based on the integration of bacteria as
biological components. Sitti (150) reported that 1) there are
many fundamental and applied research issues associated
with the propulsion of microrobots before they find appli-
cations inmedicine and other areas, and 2) making, power-
ing, and steering miniaturized robots are equally crucial
research problems, which must be solved urgently.
Dreyfus et al. (151) built a flexible artificial flagellum,
which is amicroswimmer, consisting of a chain of magnetic
particles linked by the DNA and attached to a red blood
cell. They demonstrated experimentally that the micro-
swimmer was propelled with an external uniform mag-
netic field to control its velocity and direction of motion.
External Magnetic Actuation. As stated, space has been
the primary constraint preventing the use of onsite actua-
tors and power sources for propulsion. Some attempts have
been made to transfer energy wirelessly to the actuators to
navigate the robotic capsule, but these efforts failed
because of the space issue and the complex energy trans-
duction principle based on coils and storing harvested
energy before use. Therefore, almost all realistic propul-
sion concepts proposed in the literature for robotic capsules
are based on magnetic propulsion. Even so, there is still no
functional robotic capsule externally controlled to operate
safely within the GI tract to perform diagnostic and thera-
peutic functions.
Lien et al (154) reported on a hand-held magnetic
controller for a robotic capsule for 3D movements within
the stomach. A permanentmagnet is placed in a cylindrical
capsule to allow remote maneuverability through the
handheld device containing a permanent magnet and a
stepper motor. Yim and Sitti (155) have proposed a mag-
netically actuated robotic capsule based on rolling locomo-
tion for operation in stomach. In many previous studies
(4, 138, 148, 154–156) and in our recent study (2, 10, 131,
132, 137) to evaluate the feasibility of a robotic capsule
propulsion concept based on a rotary magnetic field, an
effective distance between the external magnetic source
and internal magnetic source has to be maintained to
create enough propulsion force. Furthermore, in an
unpublished study, we equipped a robot manipulator
(ABB IRB120) with a permanent magnet to navigate a
cylindrical robotic capsule containing a permanentmagnet
in a transparent model of the GI tract, as shown in
Figure 22. We found that the motion of the capsule could
be discontinuous and the friction between the capsule and
the GI tract played a critical role for smooth propulsion. If
this propulsion concept were tested in a real GI tract or
porcine intestine sample, the tissue squeezed between the
capsule and the external magnetic field would easily be
Figure 22. Robot manipulator propelling a robotic capsule insidethe transparent model of the GI tract.
Wireless Endoscopy 19
damaged. The majority of propulsion concepts proposed in
the literature for robotic capsules for operation in the
digestive tract are made of rigid surfaces, which poten-
tially apply significant stress on the tissue. It follows that it
is difficult to control the magnetic forces propelling such
capsule robots with no damage to the contact tissue. More
importantly, these devices cannot stably resist the peri-
stalsis forces in the GI tract to anchor themselves for
detailed imaging of target lesions, and they carry out other
tasks such as delivering therapeutic agents (4, 119). There-
fore, there is an increasing demand for novel robotic cap-
sule propulsion concepts.
Design Considerations for a Robotic Capsule
Assuming that the capsule preserves its current features of
telemetry, imaging, swallowable size, minimum invasion,
and safe operation, the new features the next-generation
wireless capsules should have include active locomotion,
accurate localization, soft anchoring, on-board pH, tem-
perature, pressure, blood sensors, interventional capabili-
ties such as local drug delivery, biopsy, and suturing. In
addition, the capsule should allow parameter variations in
quick, easy, nondestructive, and straightforward manners
before using it for a patient.
As argued in the previous section, the propulsion of a
spiral-type robot based on a rotating magnetic field is
advantageous because the maximum torque available to
the robot is proportional to the magnetic field intensity,
which declines slower than the magnetic field gradient
over a long distance (131, 132). The most important ele-
ment of such a robot is its traction element, which is the
spiral converting the rotational movement into a recti-
linear motion. We have optimized the geometry of the
helical structure because it plays a significant role in
determining the propulsion efficiency. As a medical robot
traveling in a deflated, winding, and slippery lumen, the
complexity of its working environment makes this optimi-
zation problem even more critical. Therefore, the resistant
characteristics of the GI tract should be evaluated to
provide more accurate data with the optimization process.
The results in Figure 23 indicate that the frictional torque
increases as the rotation frequency increases, indicating
the rotational resistance has a relationship with the rate of
strain of the small intestine. This dependence reveals the
viscoelasticity of the GI tract to some extent. After the
introduction of the spiral, the cross-section of the capsule
in the lateral direction is raised, which increases the
deformation of the intestine. This increase becomes larger
when the helical angle gets smaller. Therefore, when the
number of spirals is the same, a capsule with a smaller
helical angle causes more strain in the intestine and,
consequently, confronts a higher frictional resistance. In
this case, from 0.5Hz to 3Hz, the capsule with the helical
angle of 10� causes a torque in the range of 0.6 to 1.8mNm,
whereas the capsule helical angle of 5� results in the torque
magnitude between 0.8 and 2.3mNm. At low frequencies,
the torque is almost proportional to the frequency and the
proportionality constant is larger when the helical angle is
smaller. We have proposed an analytical model to estimate
this fictional torque and experimentally verified it (131).
Also, we have established a conceptual framework for
designing and optimizing the topology of a spiral-type
robotic capsule propelled in a fluidic and tubular environ-
ment using electromagnetic actuation (132). For each cap-
sule, a segment of copper wire (w1mm) was wound around
the outer surface and acted as the spiral structure. The
winding area was within the cylindrical part of the capsule
so that every spiral structure had the same dimensions
(15mm) in the longitudinal axis, as shown in Figure 24.
Dummy Pillcam SB2 capsules (Given Imaging) are used
the base of the robotic capsule. We have found that adopt-
ing a relatively small lead and using at least two spirals
can make a spiral-type capsule more balanced. Regarding
the optimized number of spirals, the simulations and two
sets of experiments are in agreement, indicating that a
capsule wound with two spirals performs satisfactorily
from the propulsion efficiency point of view. The capsule
assembled with two spirals with a square cross section of
1mm� 1mm and a lead of 12mm exhibits the best per-
formance when magnetically propelled in the small intes-
tine of a pig under a rotating magnetic field with the
frequency of 4Hz (132).
Clearly, the current research efforts show (157) that
there is a need to provide solutions for many fundamental
and applied research issues associated with the next-
generation capsule robots with active navigation including
anchoring and localization. To this aim, breakthrough
methodologies and solutions that will enable the next
generation pill-sized capsule robots and establish novel
methodologies to predict and optimize the performance of
these remotely actuated robotic capsules are needed.
Figure 23. Variation of the frictional torque with the helicalangle of the spirals and the rotational frequency of the capsule. Figure 24. Capsules assembled with different spirals.
20 Wireless Endoscopy
CONCLUSION
A wireless endoscopy device is a noninvasive biomedical
system designed to obtain images of the small intestine.
There is considerable demand in the development of minia-
turized, low-power wireless capsules systems for better
medical diagnosis. Wireless telemetry and wireless energy
transfer will continue to be essential parts of these devices
operating inside the human body.We have discussed imple-
mentation issues andpresented details of design techniques
as guidelines for futurewireless capsule systems. There is a
continuous effort in the literature and in the commercial
domain to eliminate existing problems such as limited
battery lifetime and uncertainty of the capsule’s position
by including wireless energy and their motion-control capa-
bilities while a capsule is in the GI tract. A highly efficient
wireless power transmission is a primary requirement of
wireless capsule systems to eliminate the use of batteries or
to provide a continuous energy source. In addition, current
research projects in the area of wireless capsules are target-
ing to include additional sensing mechanisms, localization,
and motion control. Once these studies are completed suc-
cessfully, wireless capsule endoscopy deviceswill findmany
new applications in clinical settings. One such application
would be controlled drug delivery.
Video-based wireless capsule devices have a battery life
of about 8h and provide only 2–35 frames/s transmission in
real time. Although this can provide some level of accuracy,
for some diseases detailed imagesmay be required. A high-
capacity radio system is currently necessary for wireless
capsule technology to examine the digestive tract with
clearer and more detailed images.
ACKNOWLEDGMENTS
Mehmet R. Yuce’s work is supported by Australian
Research Council Future Fellowships Grant
FT130100430. Gursel Alici and Trung D. Than’s work is
supported by the research funds in the Intelligent Nano-
Tera Research Systems Laboratory, University of Wollon-
gong, Australia.
BIBLIOGRAPHY
1. S. L. Jungles. Wireless Capsule Endoscopy a Diagnostic Tool
for Early Crohn’s Disease. Gastroenterol Nurs. 2004, 27, pp
170–175.
2. M. R. Yuce and T. Dissanayake. Easy-to-Swallow Wireless
Telemetry. IEEE Microw. Mag. 2012, 13, pp 90–101.
3. M. R. Yuce. Implementation ofWireless Body AreaNetworks
For Healthcare Systems. Sensor Actuator: A. Phys. 2010,
162, pp 116–129.
4. P. Valdastri, M. Simi, and R. J. Webster III. Advanced
Technologies for Gastrointestinal Endoscopy. Annu. Rev.
Biomed. Eng. 2012, 14, pp 397–429.
5. M. Sitti. Voyage of the Microrobots. Nature 2009, 458, pp
1121–1122.
6. H. Keller, et al. Method for Navigation and Control of a
Magnetically Guided Capsule Endoscope in the Human
Stomach, in 4th IEEE RAS/EMBS Inter. Conf. on Bio-
medical Robotics and Biomechatronics; June 2012.
7. J. Nagumo, A. Uchiyama, S. Kimoto, T. Watanuki, M. Hori,
K. Suma, A. Ouchi, M. Kumano, and H. Watanabe. Echo
Capsule for Medical Use (A Batteryless Endoradiosonde).
IRE Trans. BioMed. Electron. 1962, 9, pp 195–199.
8. G. Meron. The Development of the Swallowable Video Cap-
sule (M2A). Gastrointest. Endosc. 2000, 6, pp 817–8199.
9. http://www.givenimaging.com/, 2013.
10. M. R. Yuce, T. Dissanayake, and H. C. Keong. Wireless
Telemetry for Electronic Pill Technology, in Proc. IEEE
Sensors; 2009, pp 1433–1438.
11. R. Ch�avez-Santiago, I. Balasingham, J. Bergsland, W. Zahid,
K. Takizawa, R. Miura, and H.-B. Li. Experimental Implant
Communication of High Data Rate Video Using an Ultra
Wideband Radio Link, in Proc. 35th Annual Int. Conf. of the
IEEE Engineering in Medicine and Biology; Osaka, Japan,
July 2013.
12. R. Puers, R. Carta, and J. Thone. Wireless power and Data
Transmission Strategies for Next-Generation Capsule Endo-
scopes. J. Micromechan. Microeng. 2011, 21, p 054008.
13. K. Wang, G. Yan, P. Jiang, and D. Ye. A Wireless Robotic
Endoscope for Gastrointestine. IEEE Trans. Robotics 2008,
24, pp 206–210.
14. S. P. Woods and T. G. Constandinou. Wireless Capsule
Endoscope for Targeted Drug Delivery: Mechanics and
Design Considerations. IEEE Transac. Biomed. Eng. 2013,
60, pp 945–955.
15. R. Cartaa,M. Sfakiotakisb, N. Pateromichelakisb, J. Thon�ea,
D. P. Tsakirisb, R. Puersa, “A multi-coil inductive powering
system for an endoscopic capsule with vibratory actuation,”
Sensors and Actuators A: Physical, Volume 172, Issue 1,
December 2011, Pages 253–258.
16. R. S. Mackay and B. Jacobson. Endoradiosonde. Nature
1957, 179, pp 1239–1240.
17. J. T. Farrar, V. K. Zworykin, and J. Baum. Pressure Sensi-
tive Telemetering Capsule for Study of Gastrointestinal
Motility. Science 1957, 126, pp 975–976.
18. V. K. Zworykin. Radio Pill. Nature 1957, 179, p 898.
19. B. W. Watson, B. Ross, and A. W. Kay. Telemetering from
within the Body Using a Pressure-Sensitive Radio Pill. Gut
1962, 3, pp 181–186.
20. P. Bradley. Implantable Ultralow-Power Radio Chip Facili-
tates In-Body Communications. RF Design 2007, pp 20–24.
21. http://www.intromedic.com/en/main.asp, 2013.
22. A. N. Laskovski and M. R. Yuce. Class-E Self-Oscillation for
the Transmission of Wireless Power to Implants. Sensor
Actuator: A. Phys. 2011, 171, pp 391–397.
23. R. S. Mackay. Radio Telemetering from within the Human
Body. Science 1961, 134, pp 1196–1202.
24. J. T. Farrar, C. Berkley, and V. K. Zworykin. Telemetering of
Intraenteric Pressure in Man by an Externally Energized
Wireless Capsule. Science 1960, 131, p 1814.
25. A. Laskovski and M. R. Yuce. Stacked Spirals for Biosensor
Telemetry. IEEE Sensors J. 2011, 11, pp 1484–1490.
26. M. Sun, S. A. Hackworth, Z. Tang, G. Gilbert, S. Cardin, and
R. J. Sclabassi. How to Pass Information and Deliver Energy
to a Network of Implantable Devices within the Human
Body, in 29th Annual International Conference of Engineer-
ing in Medicine and Biology Society; 2007.
27. M. R. Yuce and T. Dissanayake. Easy to Swallow Antenna
and Propagation. IEEE Microw. Mag. 2013, 14, pp 74–82.
Wireless Endoscopy 21
28. L. C. Chirwa, P. A. Hammond, S. Roy, andD. R. S. Cumming.
Electromagnetic Radiation from Ingested Sources in the
Human Intestine Between 150 MHz and 1.2 GHz. IEEE
Trans. Biomed. Eng. 2003, 50 (4), pp 484–492.
29. X. Chen et al. A Wireless Capsule Endoscope System with
Low-Power Controlling and Processing ASIC. IEEE Trans.
Biomed. Circuits Syst. 2009, 3.
30. M. R. Yuce. Ultra-Wideband and 60 GHz Communications
for Biomedical Applications. Springer: New York, 2014.
31. Y. Gao, Y. Zheng, S. Diao, W. Toh, C. Ang, M. Je, and
C. Heng. Low-Power Ultra-wideband Wireless Telemetry
Transceiver for Medical Sensor Applications. IEEE Trans.
Biomed. Eng. 2011, 58, pp 768–772.
32. K. M. S. Thotahewa, J.-M. Redout�e, and M. R. Yuce. Electro-
magnetic Power Absorption of the HumanAbdomen from IR-
UWB Based Wireless Capsule Endoscopy Devices, in IEEE
International Conference on Ultra-wideband (ICUWB2013);
2013, pp 79–84.
33. R.Chavez-Santiago, J.Wang, and I. Balasingham.TheUltra-
Wideband Capsule Endoscope, in IEEE International Con-
ference on Ultra-Wideband (ICUWB2013); 2013, pp 72–78.
34. M. R. Yuce, H. C. Keong, and M. Chae. Wideband Commun-
cation for Implantable and Wearable Systems. IEEE Trans.
Microw. Theor. Tech. 2009, 57, pp 2597–2604.
35. F. Inanlou and M. Ghovanloo. Wideband Near-Field Data
Transmission Using Pulse Harmonic Modulation. IEEE
Trans. Circuits Syst. I 2011, 58, pp 186–195.
36. S. Støa, R. Chavez-Santiago, and I. Balasingham. An Ultra
Wideband Communication Channel Model for the Human
Abdominal Region, in Proc. of the IEEE GLOBECOM 2010
workshop on Advanced Sensor Integration Technology;
Miami, FL, 2010.
37. K. Sayrafian-Pour, W. B. Yang, J. Hagedron, J. Terrill, and
K. Y. Yazdandoost. A Statistical Path LossModel for Medical
Implant Communication Channels. Proc. PIMRC 2009, pp
2995–2999.
38. G. William, J. Scanlon, B. Burns, and N. E. Evans. Radio-
wave Propagation from a Tissue-Implanted Source at 418
MHz and 916.5MHz. IEEETrans. Biomed. Eng. 2000, 47, pp
527–534.
39. International Commission on Non-Ionizing Radiation Pro-
tection. ICNIRP Guidelines for Limiting to Time Varying
Electric, Magnetic, and Electromagnetic Fields (up to 300
GHz). International Commission on Non-Ionizing Radiation
Protection: Oberschleissheim, Germany, 1997.
40. IEEE Std C95.1-2005. IEEE Std for Safety Levels with
Respect to Human Exposure to Radio Frequency Electro-
magnetic Fields, 3 kHz to 300 GHz.
41. S. Kwak, K. Chang, and Y. J. Yoon. The Helical Antenna for
the Capsule Endoscope, in Proc. IEEE Antennas and Propa-
gation Society International Symposium; July 2005, pp
804–807.
42. S. H. Lee, K. Chang, K. J. Kim, and Y. J. Yoon. A Conical
Spiral Antenna for Wideband Capsule Endoscope System, in
Proc. IEEE Antennas and Propagation Society International
Symposium, San Diego, CA; July 2008, pp 1–4.
43. S. H. Lee and Y. J. Yoon. A Dual Spiral Antenna for Ultra-
Wideband Capsule Endoscope System, in Proc. of Interna-
tional Workshop on Antenna Technology: Small Antennas
and Novel Metamaterial, iWAT2008; March 2008, pp
227–230.
44. S. H. Lee et al. A Wideband Spiral Antenna for Ingestible
Capsule Endoscope Systems: Experimental Results in a
Human Phantom and a Pig. IEEE Trans. Biomed. Eng.
2011, 58, pp 1734–1741.
45. P. M. Izdebski, H. Rajagopalan, and Y. Rahmat-Samii. Con-
formal Ingestible Capsule Antenna: A Novel Chandelier
Meandered Design. IEEE Trans. Antennas Propagat.
2009, 57, pp 900–909.
46. T. Dissanayake, K. P. Esselle, and M. R. Yuce. Dielectric
Loaded Impedance Matching for Wideband Implanted
Antennas. IEEE Trans. Microw. Theor. Tech. 2009, 57, pp
2480–2487.
47. Y. Morimoto, D. Anzai, and J. Wang. Design of Ultra Wide-
Band Low-Band Implant Antennas for Capsule Endoscope
Application, in 7th International Symposium on Medical
Information and Communication Technology (ISMICT);
March 6–8, 2013, pp 61–65.
48. V. Shirvante et al. Compact Spiral Antennas for MICS Band
Wireless Endoscope Toward Pediatric Applications, in Proc.
of IEEE Antennas and Propagation Society International
Symposium (APSURSI); Toronto, Canada, July 2010.
49. T. D. Than, G. Alici, H. Zhou, and W. Li. A Review Of
Localization Systems For Robotic Endoscopic Capsules.
IEEE Trans. Biomed. Eng. 2012, 59, pp 2387–2399.
50. H. Chao, L. Mao, S. Shuang, Y. Wan’an, Z. Rui, and M. Q. H.
Meng. A Cubic 3-Axis Magnetic Sensor Array for Wirelessly
Tracking Magnet Position and Orientation. IEEE Sensors J.
2010, 10, pp 903–913.
51. N. C. Atuegwu and R. L. Galloway. Volumetric Characteri-
zation of the Aurora Magnetic Tracker System for Image-
Guided Transorbital Endoscopic Procedures. Phys. Med.
Biol. 2008, 53, p 4355.
52. G. Ciuti, P. Valdastri, A. Menciassi, and P. Dario. Robotic
Magnetic Steering and Locomotion of Capsule Endoscope for
Diagnostic and Surgical Endoluminal Procedures. Robotica
2010, 28, pp 199–207.
53. F. Carpi, N. Kastelein, M. Talcott, and C. Pappone. Magneti-
cally Controllable Gastrointestinal Steering of Video Cap-
sules. IEEE Trans. Biomed. Eng. 2011, 58, pp 231–234.
54. G. Mingyuan, H. Chengzhi, C. Zhenzhi, Z. Honghai, and
L. Sheng. Design and Fabrication of a Magnetic Propulsion
System for Self-Propelled Capsule Endoscope, Biomedical
Engineering. IEEE Trans. 2010, 57, pp 2891–2902.
55. J. S. Lee, B. Kim, and Y. S. Hong. A Flexible Chain-Based
Screw Propeller for Capsule Endoscopes. Int. J. Precision
Eng. Manufact. 2009, 10, pp 27–34.
56. A. Uchiyama, H. Kawano, K. Arai, K. Ishiyama, and
M. Sendoh. Medical Device Guidance System. U.S. Patent
7711408, 2010.
57. Z. Yongshun, J. Shengyuan, Z. Xuewen, R. Xiaoyan, and
G. Dongming. A Variable-Diameter Capsule Robot Based on
Multiple Wedge Effects. IEEE/ASME Trans. Mech. 2011,
16, pp 241–254.
58. C. Yu, J. Kim, H. Choi, J. Choi, S. Jeong, K. Cha, J.-O. Park,
and S. Park. Novel Electromagnetic Actuation System for
Three-Dimensional Locomotion and Drilling of Intra-
vascular Microrobot. Sensor Actuator A: Phys. 2010, 161,
pp 297–304.
59. M. Lam and M. Mintchev. Diamagnetically Stabilized Levi-
tation Control of an IntraluminalMagnetic Capsule.Physiol.
Meas. 2009, 30, p 763.
60. I. K. Mohammed, B. S. Sharif, J. A. Neasham, and
D. Giaouris. Novel MIMO 4-DOF Position Control for Cap-
sule Endoscope, in 2011 IEEE International Symposium on
Circuits and Systems (ISCAS); 2011, pp 909–912.
22 Wireless Endoscopy
61. P. Swain, A. Toor, F. Volke, J.Keller, J.Gerber, E. Rabinovitz,
and R. I. Rothstein. Remote Magnetic Manipulation of a
Wireless Capsule Endoscope in the Esophagus and Stomach
of Humans (with Videos). Gastrointest. Endosc. 2010, 71,
pp 1290–1293.
62. G. Ciuti, A. Menciassi, and P. Dario. Capsule Endoscopy:
From Current Achievements to Open Challenges. IEEE Rev.
Biomed. Eng. 2011, 4, pp 59–72.
63. X. Wang and M. Q. H. Meng. Perspective of Active Capsule
Endoscope: Actuation and Localization. Int. J. Mech. Auto.
2011, 1, pp 38–45.
64. J. M. D. Coey. Magnetism and Magnetic Materials.
Cambridge University Press: New York, 2010.
65. W. Weitschies, J. Wedemeyer, R. Stehr, and L. Trahms.
Magnetic Markers as a Noninvasive Tool to Monitor Gastro-
intestinal Transit. IEEE Trans. Biomed. Eng. 1994, 41, pp
192–195.
66. W. Weitschies, R. K€otitz, D. Cordini, and L. Trahms. High-
Resolution Monitoring of the Gastrointestinal Transit of a
Magnetically Marked Capsule. J. Pharm. Sci. 1997, 86, pp
1218–1222.
67. V. Schlageter, P. A. Besse, R. S. Popovic, and P. Kucera.
Tracking System with Five Degrees of Freedom Using a 2D-
Array of Hall Sensors and a Permanent Magnet. Sensor
Actuator A: Phys. 2001, 92, pp 37–42.
68. V. Schlageter, P. Drljaca, R. S. Popovic, Ku, and P. Era. A
Magnetic Tracking System based on Highly Sensitive Inte-
grated Hall Sensors. JSME Int. J. Series C Mech. Syst.,
Mach. Elements Manufact. 2002, 45, pp 967–973.
69. H. Chao, M. M. Qinghu, and M. Mandal. Efficient Magnetic
Localization and Orientation Technique for Capsule Endos-
copy, in 2005 IEEE/RSJ International Conference on Intel-
ligent Robots and Systems, 2005. (IROS 2005); 2005, pp
628–633.
70. H. Chao, M. Q. H. Meng, and M. Mandal. Efficient Linear
Algorithm for Magnetic Localization and Orientation in
Capsule Endoscopy, in 27th Annual International Confer-
ence of the IEEE Engineering in Medicine and Biology Soci-
ety; 2005, pp 714–7146.
71. H. Chao,M. Q. H.Meng, andM.Mandal. A Linear Algorithm
for Tracing Magnet Position and Orientation by Using
Three-Axis Magnetic Sensors. IEEE Trans. Mag. 2007, 43,
pp 4096–4101.
72. H. Chao, Y. Wanan, C. Dongmei, M. Q. H. Meng, and
D. Houde. An Improved Magnetic Localization and Orienta-
tion Algorithm for Wireless Capsule Endoscope, in 30th
Annual International Conference of the IEEE Engineering
in Medicine and Biology Society; 2008, pp 2055–2058.
73. H. Chao, Q. H. M. Max, and M. Mrinal. The Calibration of 3-
Axis Magnetic Sensor Array System for Tracking Wireless
Capsule Endoscope, in Intelligent Robots and Systems, in
2006 IEEE/RSJ International Conference; 2006, pp
162–167.
74. L. Mao, S. Shuang, H. Chao, Y. Wanan, W. Lujia, and M. Q.
H. Meng. A New Calibration Method for Magnetic Sensor
Array for Tracking Capsule Endoscope, in Robotics and
Biomimetics (ROBIO), in 2009 IEEE International Confer-
ence; 2009, pp 1561–1566.
75. H. Chao, M. Tongxing, and M. Q. H. Meng. Sensor Arrange-
ment Optimization ofMagnetic Localization and Orientation
system, in IEEE International Conference on Integration
Technology; 2007, pp 311–315.
76. Y. Kegen, F. Gengfa, and E. Dutkiewicz. Position and Ori-
entationAccuracy Analysis forWireless EndoscopeMagnetic
Field Based Localization System Design, in Proc. 2010 IEEE
Wireless Communications and Networking Conference
(WCNC); 2010, pp 1–6.
77. S. M. Aziz, M. Grcic, and T. Vaithianathan. A Real-Time
Tracking System for an Endoscopic Capsule using Multiple
Magnetic Sensors. In Smart Sensors and Sensing Technol-
ogy; Mukhopadhyay, S. C.; Gupta, G. S., Eds. Springer:
Berlin, Germany, 2008; pp 201–218.
78. X. Wu, W. Hou, C. Peng, X. Zheng, X. Fang, and J. He.
Wearable Magnetic Locating and Tracking System for
MEMS Medical Capsule. Sensor Actuator A: Phys. 2008,
141, pp 432–439.
79. B. Moussakhani, T. Ramstad, J. T. Fla�
m, and I. Balasing-
ham. On localizing a Capsule Endoscope using Magnetic
Sensors, in Proc. 34th Annual Int. Conf. of the IEEE Engi-
neering in Medicine and Biology; San Diego, CA, August
2012, pp. 4058–4062.
80. B. Moussakhani, R. Chavez-Santiago, and I. Balasingham.
Multi Model Tracking for Localization in Wireless Capsule
Endoscope, in Proc. of the 4th Int. Symposium on Applied
Sciences in Biomedical and Communication Technologies
(ISABEL); Spain, October 2011.
81. A. Plotkin and E. Paperno. 3-DMagnetic Tracking of a Single
Subminiature Coil with a Large 2-D Array of Uniaxial
Transmitters, Magnetics. IEEE Trans. 2003, 39, pp
3295–3297.
82. A. Plotkin, V. Kucher, Y. Horen, and E. Paperno. A New
Calibration Procedure for Magnetic Tracking Systems, Mag-
netics. IEEE Trans. 2008, 44, pp 4525–4528.
83. T. Nagaoka and A. Uchiyama. Development of a Small
Wireless Position Sensor for Medical Capsule Devices, in
26th Annual International Conference of the IEEE
Engineering in Medicine and Biology Society; 2004,
pp 2137–2140.
84. X. Guo, G. Yan, and W. He. A Novel Method of Three-
Dimensional Localization Based on a Neural Network Algo-
rithm. J. Medical Eng. Tech. 2009, 33, pp 192–198.
85. X. Guo, G. Yan, W. He, and P. Jiang. Improved Modeling of
Electromagnetic Localization For ImplantableWireless Cap-
sules. Biomedical Instrumentation & Technology/Associa-
tion For The Advancement ofMedical Instrumentation. 2010,
44, pp 354–359.
86. X. Guo, C. Wang, and R. Yan. An Electromagnetic Localiza-
tion Method for Medical Micro-Devices Based on Adaptive
Particle Swarm Optimization with Neighborhood Search.
Measurement 2011, 44, pp 852–858.
87. L. Wei, H. Chao, H. Qing, M. Q. Meng, and L. Li. A Hybrid
Localization System Based on Optics and Magnetics, Robot-
ics and Biomimetics (ROBIO), in 2010 IEEE International
Conference; 2010, pp 1165–1169.
88. I. Aoki, A. Uchiyama, K. Arai, K. Ishiyama, and
S. Yabukami. Detecting System of Position and Posture of
Capsule Medical Device. U.S. Patent 7815563, 2010.
89. R. Graumann. Cable-Free EndoscopyMethod and System for
Determining in Vivo Position and Orientation of an Endos-
copy Capsule. U.S. Patent 20050187479, 2005.
90. S. Hashi, S. Yabukami, H. Kanetaka, K. Ishiyama, and K. I.
Arai. Numerical Study on the Improvement of Detection
Accuracy for a Wireless Motion Capture System, Magnetics.
IEEE Trans. 2009, 45, pp 2736–2739.
91. S. Hashi, S. Yabukami, H. Kanetaka, K. Ishiyama, and K. I.
Arai. Wireless Magnetic Position-Sensing System Using
Optimized Pickup Coils for Higher Accuracy. Magnetics.
IEEE Trans. 2011, 47, pp 3542–3545.
Wireless Endoscopy 23
92. M. G. Kim, Y. S. Hong, and E. J. Lim. Position and Orienta-
tionDetection of Capsule Endoscopes in SpiralMotion. Int. J.
Precision Eng. Manufact. 2010, 11, pp 31–37.
93. K. Yu, I. Sharp, andY.Guo.Ground-BasedWireless Position-
ing. Wiley: New York, 2009.
94. K. Arshak, F. Adepoju, and D. Waldron. A Review and
Adaptation of Methods of Object Tracking to Telemetry
Capsules. Int. J. Intelligent Comput. Medical Sci. Image
Process. 2007, 1, pp 35–46.
95. K. Arshak and F. Adepoju. Adaptive Linearized Methods for
Tracking a Moving Telemetry Capsule, in IEEE Interna-
tional Symposium on Industrial Electronics; 2007, pp
2703–2708.
96. D. Fischer, R. Shreiber, G. Meron, M. Frisch, H. Jacob,
A. Glukhovsky, and A. Engel. Localization of the Wireless
Capsule Endoscope in its Passage Through the GI Tract.
Gastrointest. Endosc. 2001, 53, p AB126.
97. D. Fischer. Capsule Endoscopy: The Localization System.
Gastrointest. Endosc. 2004, 14, pp 25–31.
98. V. Erceg, L. J. Greenstein, S. Y. Tjandra, S. R. Parkoff,
A. Gupta, B. Kulic, A. A. Julius, and R. Bianchi. An Empiri-
cally Based Path Loss Model for Wireless Channels in Sub-
urban Environments, Selected Areas in Communications. J.
IEEE 1999, 17, pp 1205–1211.
99. T. Shah, S. M. Aziz, and T. Vaithianathan. Development of a
Tracking Algorithm for an In-Vivo RF Capsule Prototype, in
International Conference on Electrical and Computer Engi-
neering; 2006, pp 173–176.
100. H. Jinlong, Z. Yongxin, Z. Le, F. Yuzhuo, Z. Feng, Y. Li, and
R. Guoguang. Design and Implementation of a High Resolu-
tion Localization System for In-Vivo Capsule Endoscopy, in
Eighth IEEE International Conference on Dependable, Auto-
nomic and Secure Computing; 2009, pp 209–214.
101. Z. Le, Z. Yongxin, M. Tingting, H. Jinlong, and H. Hao.
Design of 3D Positioning Algorithm Based on RFID Receiver
Array for In Vivo Micro-Robot, in Dependable, Autonomic
and Secure Computing, 2009. DASC ’09. Eighth IEEE Inter-
national Conference, 2009, pp 749–753.
102. L. Zhang, Y. Zhu, T. Mo, J. Hou, and G. Rong. Design and
Implementation of 3D Positioning Algorithms Based on RF
Signal Radiation Patterns for In Vivo Micro-robot, in 2010
International Conference on Body Sensor Networks (BSN);
2010, pp 255–260.
103. C. Hekimian-Williams, B. Grant, L. Xiuwen, Z. Zhenghao,
and P. Kumar. Accurate Localization of RFID Tags Using
Phase Difference, in 2010 IEEE International Conference on
RFID; 2010, pp 89–96.
104. A. Wille, M. Broll, and S. Winter. Phase Difference Based
RFID Navigation for Medical Applications, in 2011 IEEE
International Conference on RFID; 2011, pp 98–105.
105. K. Duda, T. Zielinski, R. Fraczek, J. Bulat, and M. Duplaga.
Localization of Endoscopic Capsule in the GI Tract Based on
MPEG-7 Visual Descriptors, in IEEE International Work-
shop on Imaging Systems and Techniques; 2007, pp 1–4.
106. J. Bulat, K. Duda, M. Duplaga, R. Fraczek, A. Skalski,
M. Socha, P. Turcza, and T. P. Zielinski. Data Processing
Tasks inWireless GI Endoscopy: Image-Based Capsule Local-
ization,Navigation andVideoCompression, inEngineering in
Medicine and Biology Society, in 29th Annual International
Conference of the IEEE EMBS; 2007, pp 2815–2818.
107. J. Lee, J. Oh, S. K. Shah, X. Yuan, and S. J. Tang. Automatic
Classification of Digestive Organs in Wireless Capsule
Endoscopy Videos, in Proc. of the 2007 ACM Symposium
on Applied Computing; Seoul, Korea, 2007.
108. R. Kuth, J. Reinschke, and R. Rockelein. Method for Deter-
mining the Position and Orientation of an Endoscopy Cap-
sule Guided Through an Examination Object by Using a
Navigating Magnetic Field Generated by Means of a Navi-
gation Device. U.S. Patent 20070038063, 2007.
109. I. Wilding, P. Hirst, and A. Connor. Development of a New
Engineering-Based Capsule for Human Drug Absorption
Studies. Pharm. Sci. Tech. Today 2000, 3, pp 385–392.
110. I. R. Wilding, A. J. Coupe, and S. S. Davis. The Role of
[Gamma]-Scintigraphy in Oral Drug Delivery. Adv. Drug
Deliv. Rev. 2001, 46, pp 103–124.
111. T. D. Than, G. Alici, S. Harvey, H. Zhou, and W. Li. Concept
and Simulation Study of a Novel Localization Method for
Robotic Endoscopic Capsules Using Multiple Position Emis-
sion Markers. Journal of Medical Physics, Vol. 41, No.7, pp.
072501-1–072501-14, July 2014.
112. C. L. Dumoulin, S. P. Souza, and R. D. Darrow. Real-Time
Position Monitoring of Invasive Devices Using Magnetic
Resonance. Soc. Mag. Res. Med. 1993, 29, pp 411–415.
113. S. Martel, M. Mohammadi, O. Felfoul, Zhao Lu, and
P. Pouponneau. Flagellated Magnetotactic Bacteria as Con-
trolled MRI-trackable Propulsion and Steering Systems for
Medical Nanorobots Operating in the Human Micro-
vasculature. Int. J. Robotics Res. 2009, 28, pp 571–582.
114. A.Krieger,R.C.Susil,C.Menard,J.A.Coleman,G.Fichtinger,
E. Atalar, and L. L. Whitcomb. Design of a Novel MRI
CompatibleManipulator for Image Guided Prostate Interven-
tions. IEEE Trans. Biomed. Eng. 2005, 52, pp 306–313.
115. M. Fluckiger and B. J. Nelson. Ultrasound Emitter Localiza-
tion in Heterogeneous Media, in Engineering in Medicine
and Biology Society, in 29th Annual International Confer-
ence of the IEEE EMBS; 2007, pp 2867–2870.
116. Z. Nagy, M. Fluckiger, O. Ergeneman, S. Pane, M. Probst,
and B. J. Nelson. A Wireless Acoustic Emitter for Passive
Localization In Liquids, in IEEE International Conference on
Robotics and Automation; 2009, pp 2593–2598.
117. A. Krieger, I. I. Iordachita, P. Guion, A. K. Singh, A. Kaushal,
C. Menard, P. A. Pinto, K. Camphausen, G. Fichtinger, and
L. L. Whitcomb. An MRI-Compatible Robotic System With
Hybrid Tracking for MRI-Guided Prostate Intervention.
IEEE Trans. Biomed. Eng. 2011, 58, pp 3049–3060.
118. A. Krieger, G. Metzger, G. Fichtinger, E. Atalar, and L. L.
Whitcomb. A Hybrid Method For 6-DOF Tracking of MRI-
Compatible Robotic Interventional Devices, in Robotics and
Automation, in Proc. 2006 IEEE International Conference on
Robotics and Automation, 2006, pp 3844–3849.
119. B. J. Nelson, I. K. Kaliakatsos, and J. J. Abbott. Microrobots
for Minimally Invasive Medicine. Ann. Rev. Biomed. Eng.
2010, 12, pp 55–85.
120. P. N. T. Wells. Current Status and Future Technical Advan-
ces of Ultrasonic Imaging. IEEE Eng. Medicine Biol. Mag.
2000, 19, pp 14–20.
121. P. Swain. The Future of Wireless Capsule Endoscopy.World
J. Gastroenterol. 2008, 14, pp 4142–4145.
122. F. Carpi. Magnetic Capsule Endoscopy: The Future is Around
The Corner. Exp. Rev. Med. Dev. 2010, 7, pp 161–164.
123. G. Iddan, G. Meron, A. Glukhovsky, and P. Swain. Wireless
Capsule Endoscope. Nature 2000, 405, pp 417–418.
124. D. Hosokawa, T. Ishikawa, H. Morikawa, et al. Development
of a Biologically Inspired Locomotion System for a Capsule
Endoscope. Int. J. Med. Robot. 2009, 5, pp 471–478.
125. B. Kim, S. Park, and J.-O. Park. Microrobots for a Capsule
Endoscope, in Proc. of IEEE/ASME International
24 Wireless Endoscopy
Conference on Advanced Intelligent Mechatronics;
Singapore, 2009, pp 729–734.
126. H. Park, S. Park, E. Yoon, et al. Paddling Based Microrobots
for Capsule Endoscope, in Proc. of IEEE International Con-
ference on Robotics and Automation; 2007, pp 3377–3382.
127. H. M. Kim, S. Yang, J. Kim, et al. Active Locomotion of a
Paddling-BasedCapsuleEndoscope in an InVitro and InVivo
Experiment. Gastrointest. Endosc. 2010, 72, pp 381–387.
128. P. Valdastri III, R. J. Webster, C. Quaglia, et al. A new
Mechanism for Mesoscale Legged Locomotion in Compliant
Tubular Environments. IEEE Trans. Robotics 2009, 25, pp
1047–1057.
129. S. H. Woo, T. W. Kim, and J. H. Cho. Stopping Mechanism
ForCapsule EndoscopeUsingElectrical Stimulus.Med. Biol.
Eng. Comput. 2010, 48, pp 97–102.
130. G. Tortora, P. Valdastri, E. Susilo, et al. Propeller-Based
Wireless Device For Active Capsular Endoscopy in the Gastric
District. Minim. Invasive Ther. Allied Tech. 2009, 18,
pp 280–290.
131. H. Zhou, G. Alici, T. Than, and W. Li. Modeling and Exper-
imental Investigation of Rotational Resistance of a Spiral-
Type Robotic Capsule Inside a Real Intestine. IEEE/ASME
Trans. Mech. 2013, 18, pp 1555–1562.
132. H. Zhou, G. Alici, T. Than, and W. Li. Modeling and Exper-
imental Characterization of Propulsion of a Spiral-Type
Microrobot for Medical Use in Gastrointestinal Tract.
IEEE Trans. Biomed. Eng. 2013, 60, pp 1751–1759.
133. C. Quaglia, S. Tognarelli, E. Sinibaldi, N. Funaro, P. Dario,
and A. Menciassi. Wireless Robotic Capsule for Releasing
Bioadhesive Patches in the Gastrointestinal Tract, J. Med.
Devices 8 (1), 014503 (Dec 06, 2013).
134. S. Yim, E. Gultepe, D. Gracias, and M. Sitti. Biopsy using a
Magnetic Capsule Endoscope Carrying, Releasing and
Retrieving Untethered Micro-grippers. IEEE Trans.
Biomed. Eng. 2013, 24.
135. S. Yim andM. Sitti. Three-Dimensional LocalizationMethod
for a Soft Magnetic Capsule Endoscope and Its Applications.
IEEE Trans. Robot. 2013, 25.
136. F. Munoz, G. Alici and W. Li, “A Review of Drug Delivery
Systems for Capsule Endoscopy”, Advanced Drug Delivery
Reviews, Volume 71, Pages 77–85, May 2014.
137. H. Zhou, G. Alici, W. Li, and S. Ghanbar. Experimental
Characterization of a Robotic Drug Delivery System Based
on Magnetic Propulsion. 2011 IEEE/ASME International
Conference on Advanced Intelligent Mechatronics (AIM), pp
209–214, 2011.
138. M. Gao, C. Hu, Z. Chen, H. Zhang, and S. Liu. Design and
Fabrication of a Magnetic Propulsion System for Self-
Propelled Capsule Endoscope. IEEE Trans. Biomed. Eng.
2010, 57, pp 2891–2902.
139. P.Swain,A.Toor,F.Volke,etal.RemoteMagneticManipulation
of aWirelessCapsuleEndoscope in theEsophagusandStomach
of Humans. Gastrointest. Endosc. 2010, 71, pp 1290–1293.
140. J.-F. Rey, H. Ogata, N. Hosoe, et al. Blinded Nonrandomized
Comparative Study of Gastric Examination with a Magneti-
cally Guided Capsule Endoscope and Standard Videoendo-
scope. Gastrointest. Endosc. 2012, 75, pp 373–381.
141. M. Sendoh, K. A. Yamazaki, A. Chiba, et al. Spiral Type
Magnetic Micro Actuators for Medical Applications, in
Proceedings of the International Symposium on Micro-
NanoMechatronics and Human Science, pp 319–324, 2004.
142. A. W.Mahoney, J. C. Sarrazin, E. Bamberg, and J. J. Abbott.
Velocity Control with Gravity Compensation for Magnetic
Helical Microswimmers. Adv. Robotics 2011, 25, pp
1007–1028.
143. Y. Zhang, S. Jiang, X. Zhang, X. Ruan, and D. Guo. A
Variable-Diameter Capsule Robot Based on Multiple Wedge
Effects. IEEE/ASME Trans. Mech. 2011, 16, pp 241–254.
144. J.-Y. Kim, Y.-C. Kwon, and Y.-S. Hong. Automated Align-
ment of Rotating Magnetic Field for Inducing a Continuous
Spiral Motion on a Capsule Endoscope with a Twistable
Thread Mechanism. Int. J. Precision Eng. Manuf. 2012,
13, pp 371–377.
145. G. Trovato, M. Shikanai, G. Ukawa, et al. Development of a
Colon Endoscope Robot that Adjusts its Locomotion Through
the Use of Reinforcement Learning. Int. J. Comput. Assist.
Radiol. Surg. 2012, 5, pp 317–325.
146. J. L. Toennies, G. Tortora, M. Simi, P. Valdastri, and R. J.
Webster III. Swallowable Medical Devices for Diagnosis and
Surgery: The State of the Art. Proc. of The Inst. Mech. Eng.
Part C-J. Mech. Eng. Sci. 2010, 224, pp 1397–1414.
147. R. Fernandes and D. H. Gracias. Toward a Miniaturized
Mechanical Surgeon. Mater. Today 2009, 12, pp 14–20.
148. F. Carpi. Magnetic Capsule Endoscopy: The Future is
Around the Corner.Exp. Rev. Med. Dev. 2010, 7, pp 161–164.
149. J. J. Abbott, K. E. Peyer, M. C. Lagomarsino, L. Zhang, L.
Dong, I. K. Kaliakatsos, and B. J. Nelson. How Should Micro-
robots Swim? Int. J. Robotic Res. 2009, 28, pp 1434–1447.
150. M. Sitti. Voyage of the Microrobots. Nature 2009, 458, pp
1121–1122.
151. R. Dreyfus, J. Baudry,M. L. Roper, M. Frmigier, H. A. Stone,
and J. Bibette. Microscopic Artificial Swimmers. Nature
2005, 437, pp 862–865.
152. E. Diller, C. Pawashe, S. Floyd, and M. Sitti. Assembly and
Disassembly of Magnetic Mobile Micro-Robots Towards
Deterministic 2-D Reconfigurable Micro-Systems. Int. J.
Robotics Res. 2011, 30, pp 1667–1680.
153. S. Martel, O. Felfoul, J-B. Mathieu, A. Chanu, S. Tamaz,
M. Mohammadi, M. Mankiewicz, and N. Tabatabaei. MRI-
based Medical Nanorobotic Platform for the Control of Mag-
netic Nanoparticles and Flagellated Bacteria for Target
Interventions in Human Capillaries. Int. J. Robotics Res.
2009, 28, pp 1169–1182.
154. G. S. Lien, C. W. Liu, J. A. Jiang, C. L. Chuang, and M. T.
Teng. Magnetic Control System Targeted for Capsule Endo-
scopic Operations in the Stomach- Design, Fabrication and
In Vitro and Ex Vivo Evaluations. IEEETrans. Biomed. Eng.
2012, 59, pp 2068–2079.
155. S. Yim and M. Sitti. Design and Rolling locomotion of a
Magnetically Actuated Soft Capsule Endoscope. IEEE
Trans. Robotics 2012, 28, pp 183–193.
156. M. Simi, P. Valdastri, C. Quaglia, A.Menciassi, and P. Dario.
Design, Fabrication, and Testing of a Capsule with Hybrid
Locomotion for Gastrointestinal Tract Exploration. IEEE/
ASME Trans. Mech. 2010, 15, pp 170–180.
157. L. R. Fisher and W. L. Hasler. New Vision in Video Capsule
Endoscopy: Current Status and Future Directions.Nat. Rev.:
Gastroenterol. Hepatol. 2012, 9, pp 392–405.
MEHMET RASIT YUCE
Monash University, Melbourne,
Australia
GURSEL ALICI AND TRUNG DUC THAN
University of Wollongong,
Wollongong, Australia
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