Prof. M. Alcañiz I3BH...E-Mental Health Conference 2008 - Padua Intelligent e-therapy platform: a new paradigm for e-health Prof. M. Alcañiz I3BH LabHuman – UPV E-TIPS Platform
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E-Mental Health Conference 2008 - Padua E-Mental Health Conference 2008 - Padua Intelligent e-therapy platform: a new paradigm for e-health Prof. M. Alcañiz I3BH LabHuman – UPV E-TIPS Platform 01
E-Mental Health Conference 2008 - PaduaE-Mental Health Conference 2008 - Padua
Intelligent e-therapy platform: a new paradigm for e-healthProf. M. Alcañiz
I3BH LabHuman – UPV
E-TIPS Platform 01
Moderador
Notas de la presentación
Agradecer medios su presencia Agradecer apoyo del rector
E-Mental Health Conference 2008 - PaduaE-Mental Health Conference 2008 - Padua
INDEX01 Challenges health care services02 Technical drawbacks actual e-Health systems04 e-TI definition05 e-TI architecture – examples06 Conclusions
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Page 3
What is LabHuman?
A public research laboratory of UPV with strongrelationships with private companies. Founded 1992.
Part of the Institute of research in bioengineeringand human centred technology (I3BH)
Human Centered Technology Laboratory
Goal: Development of technology that supports human actions in several contexts (health, well being, education) with special emphasis in interactivecomputer media.
LabHuman outline
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I3BHDirector: M Alcañiz
BioelectronicsJ. Saiz
InmunotecnologyA. Montoya
LabPsitecC. Botella
LabDesignM. Contero
LabHumanM. Alcañiz
Total personnel 2009: I3BH: 120 LabHuman: 63
Divided between staff, researchers, technicians, programmers
Facilities: 2600 m2, 400 m2 VR laboratory, 4 side CAVE,
I3BH units
VERTICALR – research, What we do?Each line has a scientific coordinator - COCI
HORIZONTALD – development, with what we do?Technical coordinator, Planning coordinator
TRANSVERSALI – innovation, for whom we do?R&D directors, Marketing director, press gabinet
LabHuman - activities
05
Moderador
Notas de la presentación
Tres ejes: INVESTIGACIÓN : qué hacemos DESARROLLO: CÓMO LO HACEMOS INNOVACIÓN: PARA QUIÉN LO HACEMOS
LH - Vertical
06
Virtual rehabilitationPersuasive and social gamesComputer Aided PsychologyPresence researchAugmented cognitionEmotional engineering/User Centred DesignComputer Assisted Medical InterventionMedical image processingBiomechanics/deformable models
LH - Horizontal
Deformable modelsReal time 3D Graphics/VRAugmented realityMobile platformsWeb programmingGesture interfaces3D modelling/computer animation2D dynamic contentsImage processing
07
LH - Transversal
GerontechnologySurgery, odontologyHuman well-beingMental healthUser centred designEducation and trainingEntertainmentIndustrial simulation
08
PACS, RIS, HIS
90 decade
Enhancetreatmentknowledge
2005 to 2020
To preventTo customize
Personalized Health System
Prevention
New trends healthcare models
Moderador
Notas de la presentación
Hecha esta breve introducción, para introducir la importancia de las tecnología persuasivas en el actual modelo sanitario, creo necesario exponer datos acerca de los futuros modelos de salud en los próximos años. En los últimos 15 años, las soluciones TIC aplicadas al sector salud han estado centradas en garantizar una mejor gestión por parte de los centros clínicos de los tratamientos ofrecidos. En este sentido, se inició una amplia oferta comercial de sistemas tales como PACS, RIS, HIS, tarjeta sanitaria, etc… Según el Estudio de Prospectiva “e-Salud – 2020”, los pacientes, es decir, su personalización y la prevención serán los ejes del sistema sanitario en España para el 2020.
Crucial importance of ICT + health =e-health
Increase budget e-health -> 2010 =5% total health budget in Europe(2000 = 1%)
Personalize the treatment for eachpatient
To increase preventive medicine
New trends healthcare models
Moderador
Notas de la presentación
la sanidad electrónica (e-Salud), es decir, la aplicación de las Tecnologías de la Información y las Comunicaciones (TICs) a la salud, es la revolución más importante que tendrá lugar en el campo de la salud desde la medicina moderna y una oportunidad para el cambio y mejora de la gestión sanitaria. Para el año 2010, el gasto destinado a aspectos relacionados con la e-Salud constituirá un 5% del presupuesto sanitario total de la Europa de los 25. En el año 2000 era de un 1% del presupuesto sanitario de la Europa de los 15. La e-Salud permitirá desarrollar tratamientos totalmente adaptados al paciente y su contexto incrementando el grado de autonomía de los mismos, especialmente paciente crónicos Se va potenciar la inversión hacia la medicina preventiva, de forma que la medicina deje de estar centrada casi exclusivamente en el tratamiento de enfermedades para pasar a un modelo orientado a la prevención.
patient
Assisitive technologies
Pers. Health. Syst.
Persuasive technologies
New trends healthcare models
Moderador
Notas de la presentación
En este sentido en el futuro esquema de los modelos sanitarios europeos van a desarrollarse en gran medida a nivel funcional en torno a tres grandes bloques: los tratamientos clínicos personalizados, las tecnología asistivas y las tecnologías persuasivas.
To face high costs diseases: • heart diseases, • obesity, • alzheimer, • cancer , • acquired brain injury
Prevention = change habits and life styles
Long treatments = increaaetreatment adherence and motivation
Personalized health system
Health
Sensoring
• Physical• Mental
• Physical• Mental• Contextual
Why persuasive technologies?
Moderador
Notas de la presentación
En relación con los tratamientos clínicos personalizados o terapias personalizadas conviene señalar dos aspectos: el primero es que el ámbito de aplicación no se va restringir únicamente a la salud física, sino también a la salud mental. Las actuales políticas europeas en materia de salud y bienestar e I+D están prestando un especial interés a la salud mental dado el ingente coste que dichas patologías suponen para los sistemas sanitarios. Por otra lado, muchas de las principales enfermedades que más preocupan a los gobiernos europeos (enfermedades coronarias, obesidad, neurodegenerativas) exigen para una correcta personalización del tratamiento no solamente conocer determinadas constantes vitales del paciente, sino conocer el estado mental y contextual del mismo para aplicar de forma adecuada un tratamiento integral.
Advantages of e-Health systems
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Accessibility: for remote patients
Affordability: for patient with less resources
Anonymity: treatment one to one
Acceptability: No a social stigma
Adaptability.: can be adapted
Moderador
Notas de la presentación
Traditionally potential CAP benefits have been grouped into five main categories: accessibility, affordability, anonymity, acceptability and adaptability.
Drawbacks/limitations of e-Health
014
NOT A WIDE USE OF e-HEALTH SYSTEMS
WHY?
Legal and ethical problemsEducational problemsEconomic and organizational problems
Technological problems
Moderador
Notas de la presentación
In spite of the potential benefits of CAP systems, there is no a wide use of this technology by therapists and, in this sense, several authors have described many barriers to progress in a widely use of CAP, including problems with organizations, research issues, legal and ethical problems, cost and resistance of patient to technologies used by CAP systems. In this work, we propose the following classification for these barriers: Legal and ethical problems Educational problems. Economic and organizational problems Technological problems This work will focus on solutions for technological problems. Our group has been developing CAP systems since 1992 of different natures and after two decades, we have decided to analyze what can be the technological problems of actual CAP systems and how these problems limits a widely use of CAP systems by therapists. For that we have used a systematic approach that helped us to elicit from experienced therapists that have used CAP systems for several years, the main drawbacks that they have found using CAP systems and the functionalities that they wished for any effective CAP systems. For doing that we have used several techniques like unstructured interviews, structured interviews, group Meetings, Case observation, and Diagram-Based Techniques. We have identified 7 main problems,
Technical barriers of e-health
015
PROBLEM 1Efforts required for CAP systems implementation
to start from scratch every time a new systemclinical knowledge/inference engine not separated
Moderador
Notas de la presentación
Technological problems relates mainly with human centered design problems and we have identified 7 main problems. The first one is related with the huge effort that is today necessary to design, program, debug, clinically test and commercialize a CAP systems. The main problem comes from the fact that it is necessary to start from scratch every time a new CAP system is designed and implemented. Although there exist some standard tools that facilitates the content and interfaces programming of a CAP system, the kernel of the CAP system, that is, the clinical knowledge and the inference engine that performs reasoning using the clinical knowledge in order to provide feedback to patient inputs, needs to be programmed each time.
Technical barriers of e-health
016
PROBLEM 2Multiparametric patient monitoring
Limited patient monitoringPsychophysiology with invasive methodsSocial – contextual : verbal, manual fillingAvoidance by the patient
PROBLEM 3Real time capabilities
No rapid feedback of any changeFace to face therapy or patient voluntarily informs
Moderador
Notas de la presentación
Actual CAP systems have very weak patient monitoring capabilities, both in the type of variables and the sampling method. Some CAP system has monitored some psychophysical variables like heart rate to provide some basic biofeedback Other variables like contextual or social situation of the patient are sampled using verbal methods o filling questionnaires that are boring for the patient. On the other hand they do not inform rapidly the therapist of any significant change in any variable that must affect the treatment and thus requires some type of intervention of the therapist. This is done after some face to face regular interview with the patient or when the patient voluntarily informs the therapist of that change. Patients rarely ask for any support the moment it is needed, even when therapist usually encourage to do so.
Technical barriers of e-health
017
PROBLEM 4E-HEALTH customization
Content and form the same for every patientTherapist can not easily modify
Actual CAP systems present almost null tailoring possibilities to each specific patient. Although some attempts have been done for VT environments customization and VE open platform developments, the content and the form of the CAP system are mainly the same for every patient and therapist cannot easily modify the content nor the form. This is due by the functional structure that the majority of actual CAP systems present. Finally, the interaction of the patient with actual CAP systems relies frequently on basic man-machine interface techniques that limit notably a seamless integration of the treatment with patient daily activities and thus produces some type of technophobia to the patient.
Technical barriers of e-health
018
PROBLEM 6e-HEALTH limitation with non programmed actions
No feedback to every patient’s questionNot solves unknown situationsProcedural knowledge representation: If Then Action
PROBLEM 7Specificity of e-HEALTH systems
Deals with just one disorderNo switching to alternative therapies
Moderador
Notas de la presentación
Also today CAP systems presents serious drawbacks for answering and giving feedback to every question and/or action patients may ask, and they are not able to deal with undefined or unknown situations during patient’s treatments. This is due mainly because the clinical knowledge stored in CAP systems is done under a procedural way under “If then action” schema and not using more powerful knowledge processing tools that can add some type of “intelligence” to the CAP system Due also to this technical problem, CAP systems tend to be developed for just one type of mental health problems and they present serious limitations for detecting and switching to alternative therapies for new problems which can appear during the treatment.
Technical barriers of e-health
019
e-TIP : Intelligent e-therapy Platform
• Technical solutions to actual e-health systems
• Platform for an easy development of e-HEALTH BYCLINICIANS
Moderador
Notas de la presentación
Actual CAP systems present almost null tailoring possibilities to each specific patient. Although some attempts have been done for VT environments customization and VE open platform developments, the content and the form of the CAP system are mainly the same for every patient and therapist cannot easily modify the content nor the form. This is due by the functional structure that the majority of actual CAP systems present. Finally, the interaction of the patient with actual CAP systems relies frequently on basic man-machine interface techniques that limit notably a seamless integration of the treatment with patient daily activities and thus produces some type of technophobia to the patient.
Enhanced treatmentInteractive patient support toolsTele-therapy
Personalised treatment cycles
e-TIPPLATFO
RM
Alcañiz et al (2009), “Intelligent e-Therapy system: a new paradigm for telepsychology and cybertherapy” British Journal of Guidance & Counselling,37:3, 287-296.
Moderador
Notas de la presentación
e-TI is a platform for an easy deployment of CAP systems through the use of ready to use components coming from 4 main functional modules Multi-parametric patient monitoring e-TI integrates a multi-parametric monitoring layer that determine the health state of an individual, and can also include information regarding activity, location, social and environmental context. For doing that, e-TI includes different physiological (i.e. ECG, Respiration, voice), body motion, outdoor and indoor location sensors whose signals are translated to sets of high level emotional, behavioural and contextual meta information suitable for use in the treatments cycle. Multiplatform adaptable natural user interface e-TI integrates novel adaptive technologies that will account for the patients day to day needs, where the treatments can be designed specifically to meet the very particular needs of one person, and where the patient can access treatment anywhere anytime. The information fed to the patient is modified as a function of instant sensor information as well as the global body of sensed information and presented under multiplatform human-computer interfaces modules. Treatment authoring Once a patient has been adequately interviewed and diagnosed, the therapist will create a personalized treatment schedule on the computer and will publish this to the WEB. The patient will be able to access the treatment from then onwards from home or whilst on the move. Depending on the illness and treatment, the patient can receive treatment at a supervised day care centre, at home on a desktop, on a temporary wearable and in certain case 24/7 with miniature wearable devices. Clinical knowledge base The expert clinical knowledge is encoded in e-Ti with an ontology based schema totally separated from the other components of the system. In this way, it is possible to re-use some specific parts of this knowledge in a direct way in any CAP system tailored for a specific patient. This knowledge will include sensor signal processing and meta information extraction, psychological treatments like CBT and rules for guiding the delivery platform adaptation engine both for longer term summative treatment policies and instant feedback to the user.
Technical barriers of e-health
021
Treatment ContentDelivery tools
Interaction front-end
monitoring
Inferencing and modeling
Adaptation engine
ontologies
E-TIP platform
Knowledge base and inference engine
therapist
client
Clinical knowledge
interfaces
algorithms
databases
HCI bus
Monitoring bus
Personal tools
Communication tools
E-therapy delivery
tools
Modelstherapist client
TRADITIONAL e-HEALTH SYSTEM e-TIP BASED e_HEALTH SYSTEM
Moderador
Notas de la presentación
The main technical reason for that, is that actual CAP systems do not have a knowledge base (KB) separated from the rest of the system where to store generalized models of clinical psychology treatments like CBT, that can be used for every patient after a customization process.
Typical course with e-TIP based e-health system
022
Face to face interviewContent review and selection
Assembly and configuration of personalized e-therapy package
Moderador
Notas de la presentación
In this slide we show the typical course of a patient being attended by a therapist that use an e-TIP based CAP system. Initially a face to face interview is conducted with the visitor and following a set of standard tests a diagnosis is made by the therapist. Having obtained the relevant consent and confirmations, the therapist uses the OPTIMI treatment authoring tool to either select a treatment they feel is suitable (perhaps they have used it successfully before and abide by it) or if they prefer, a specific adapted treatment may be authored. To do this the therapist uses intelligent search tools to identify relevant base treatments to which can be added a range of extra modules. These modules could for example be a new VR exposure module that has recently been approved for general use and which suits this patient ideally. If a Personal Monitor is also needed then the therapist checks the hardware availability and adds the module accordingly. An example could be a Heart Rate monitor chest belt and associated anxiety monitoring module. The therapist defines a roadmap or timeline for the patient adding calendars and diaries in negotiation with the patient.
Typical course with e-TIP based e-health system
023
Delivery of patient package e-therapy sessions and clinician and patient monitoring
Moderador
Notas de la presentación
Finally a single button is pressed and a pre-packaged and secure platform is made available on the Internet. The therapist gives the patient the hardware having shown its use and then the patient goes home where he/she can begin to use the treatment as directed. From home the patient logs on securely to the dedicated treatment package and follows the treatment for several weeks. At any time the therapist and depending on the agreed correspondence protocol, can contact the patient or vice versa and assistance can be given to modify or adapt the treatment. Finally as the treatment progresses, information of a temporary nature is discarded, whilst treatments used and results are recorded on the patients electronic file.
Obesity in Europe: increment 200% with 1900
Obesity needs CLINICAL and PSYCHOLOGICAL treatment
Cognitive Behavior Therapy (CBT) Objectives: change conductual, cognitive and emotionalpatterns that maintain obesity
CBT + medical treatments has demostratedefficacy in weight reduction
Unfortunately patients do not maintain treatmentresults
One example: child obesity
Moderador
Notas de la presentación
En España los datos de la Encuesta Nacional de Salud del 2005 indican que la prevalencia del problema es creciente: 13 % de personas con obesidad y un 44.2 % de personas con sobrepeso, mostrando que las cifras de obesidad en España se han incrementado a más del doble respecto a 1990, siendo esta tendencia creciente a lo largo de los años. Las terapias cognitivo-comportamentales, aplicadas en EMMA, y de las cuales nos hablará posteriormente las Dra Botella, permiten cambiar patrones conductuales, cognitivos y emocionales que mantienen los pacientes en determinadas situaciones (obesidad, PTSD por violencia).
After CBT program, 80% childs obtain 35% weight during firstyear and 100% after two yearsMain problem in weight maintenance is the motivationalcomponentIntrinsic motivation and autocontrol are predictors for succesfultreatmentsObesity is a cronic condition that requires continuous and adequate supervision
One example: child obesity
In order to increment obesity treatment efficacy it is necessary to:
Design techniques and strategies that helps the patient to realice nutritional habits and physical exercise
Personalise the interventions that helps patient to prevent again toxicstimuli (publicity, fast food, …)
To have continuous information about several states fo the patient
Change family behaviorsSet goalsCelebrate successRecognize triggers
Create a healthy-weight environment
Be a positive role model
Baños R. Alcañiz M,” the ETIOBE Project: A Supporting System for Children Obesity”Cyberpsychology & Behavior, 12:1, 85-86 (2009)
Moderador
Notas de la presentación
Nowadays we have at our disposal well-established treatments for almost every psychological disorders, but unfortunately several large scale international studies conclude that the majority of people suffering mental health disorders do not receive the required treatment. The primary causes of failure to receive treatment are lack of access to appropriate specialist services and social stigmas associated with mental health disorders.
e-TIOBE: treatment authoring
028
Moderador
Notas de la presentación
The e-TIOBE systems presents 3 types of applications: Clinical Supporting System (CSS), Home Supporting System (HSS) and Mobile Supporting System (MSS). The CSS allows clinicians to design the treatment and its monitoring The HSS allows the patient to follow parts of the treatment at home using multiplatform (PC, TV, ) The MSS permits the patient to follow treatment anytime/anywhere The CSS allows clinicians to design the treatment and its monitoring The HSS allows the patient to follow parts of the treatment at home using multiplatform (PC, TV, ) The MSS permits the patient to follow treatment anytime/anywhere
e-TIOBE: treatment authoring
029
Moderador
Notas de la presentación
The CSS has the following modules: Data Input Interface: for information input during face to face visits Patient monitoring display: for monitoring every aspect of the treatment changing platforms and time scales Treatment editor: for treatment tailoring Alarm editor: for alarm definition (rules of knowledge) The HSS has Treatment display: Interface taht permits to follow the treatment and customizing some aspects Adaptables games: that are persuasive games connected with social/contextual and physical information of the patient. For exampler it knows the physical activity of the child in the day Positive messages: that are virtual conversational agents that give reinforcement messages to the patient. The MSS has applications for Self-records: patient introduces Incentive messages:Events consist of notifications containing for example incentive sentences, congratulations, or warnings that will be presented with stimuli like virtual agents
Ontology for CBT
Ontology for clinical andpsychological treatmentrepresentation
Ontology defines concepts andrelationships
Developed ontology for CBT
First ontology in the worlddeveloped and tested for CBT
Moderador
Notas de la presentación
One of the main components of the e-TIP is the knowledge base for clinical knowledge representation. For that, we have used an ontology because they have become the knowledge representation medium chosen in recent years for a range of science areas including medicine, bio-medicine and bio-informatics. The term ontology was first introduced in 1992 and it defines (specifies) the concepts, relationships, and other distinctions that are relevant for modelling a domain. By using an ontology it is possible to reuse the domain knowledge, to make domain assumptions explicit, to separate domain knowledge from the operational knowledge and to analyze domain knowledge. In our case we have designed an ontology for CBT treatments being the first ontology developed for clinical psychology that are being tested clinically
Ontology for CBT
Therapy Knowledge Base
General Therapy Ontology
Onto-CBT
Specific Therapy Ontology
Obesity
Zaragoza I, Guixeres J, Alcaniz M, (2008), “An ontology for intelligent e-therapy for obesity”, 1st
International Workshop on Ontologies in Interactive Systems, pp. 27-32.
Moderador
Notas de la presentación
We have defined a modular and re-usable Therapy Knowledge Base (TKB) that let the therapists around the world applying CAP treatments on different patients and with different disorders. TKB has: General Therapy Layer (GTL): The GTL contain a Cognitive Behavioural Treatment Ontology with all the general concepts and properties that outlines an abstract CBT treatment. We use a Top-bottom design Specific Therapy Layer (STL): For each specific treatment, a specialized ontology will be developed with all the semantic structure. We have defined one related with obesity for the etiobe system
Ontology for CBT
TKBOnto-CBT
e-TIOBE
INFERENCEENGINE
DATABASE
Moderador
Notas de la presentación
The TKB communicates with the inference engine that contains CBT rules, signal processing and and rules for guiding the delivery platform adaptation engine. Both systems communicates with a database for speeding the processes and scalability of the system.
Physical information
Context information
PATIENT
Mental status
Physical healthPhysiological signals
What is s/he doing? What has done? Where is s/he?Geolocalization in y outActions at homePhysical activity
What is his/her motivation?Adherence levelMotivation levelPositive psychology
e-TIOBE: integral sensoring
Guixeres J; Gomis-Tena J; Alcañiz M; Saiz J (2008), “TIPS : Intelligent Sensory Platform for Clinical E-Therapy”, CHI 2008,Sympoisum mental health and technologies, pp 34-38
MicrocontrollerDSPIC
FlashMemory
Intelligence Module
TIPS (Therapy Intelligent Personal Sensor)
Physical Activity Module
Accelerometer 3D ADXL330
ECG Amplifier1 0r 3 leads
Skin Conductance
Respiratory Frequency
Physiological Module
Geoposition Module
GPS ModuleLaipac PG32
Free2move Bluetooth Module -
F2M03AC2
Pixie Zigbee
Module
Communications Module
ECGelectrodes
GSRelectrodes
RespirationBand
e-TIOBE: integral sensoring
e-TIOBE: integral sensoring
TIPS: Geoposition
XML messages withTIPS data are sendedto the server
An algorithm has been developed toanalyze the habits of mobility of the person
Therapist can markpoints (Therapy points) to interact with thepatient
e-TIOBE: e-TIS
037
Correlation between caloric consumption and inertial sensors withPatients of HGUV Valencia - Spain
Moderador
Notas de la presentación
In this slide we can see some pictures part of the adaptable interface that includes games developed using flash that communicates with the e-TIS and e-TIN network for gathering information about the patient and thus modifying the game rules for enhancing motivation of the patient.
e-TIOBE: adaptable interfaces
038
Images of CSS
Moderador
Notas de la presentación
In this slide we can see some pictures part of the adaptable interface that includes games developed using flash that communicates with the e-TIS and e-TIN network for gathering information about the patient and thus modifying the game rules for enhancing motivation of the patient.
e-TIOBE: Home Supporting System
039
Images of HSS
Moderador
Notas de la presentación
In this slide we can see some pictures part of the adaptable interface that includes games developed using flash that communicates with the e-TIS and e-TIN network for gathering information about the patient and thus modifying the game rules for enhancing motivation of the patient.
e-TIOBE: HSS = serious games
040
Moderador
Notas de la presentación
In this slide we can see some pictures part of the adaptable interface that includes games developed using flash that communicates with the e-TIS and e-TIN network for gathering information about the patient and thus modifying the game rules for enhancing motivation of the patient.
e-TIOBE: HSS = social network
041
Moderador
Notas de la presentación
In this slide we can see some pictures part of the adaptable interface that includes games developed using flash that communicates with the e-TIS and e-TIN network for gathering information about the patient and thus modifying the game rules for enhancing motivation of the patient.
e-TIOBE: Mobile Supporting System
042
Images of MSS
Moderador
Notas de la presentación
In this slide we can see some pictures part of the adaptable interface that includes games developed using flash that communicates with the e-TIS and e-TIN network for gathering information about the patient and thus modifying the game rules for enhancing motivation of the patient.
Gerontechnology group at LabHuman
Interactive natural interfaces
Cognitive rehabilitation for elderly
Mild dementia detection and treatment
Specific serious games clinically designed (atention,memory, spatial orientation,..)
Multitouch interface
Social networks, social gaming
043
ElderGames
Moderador
Notas de la presentación
Hablar de Eldergames
FIBROMIALGIA• Treatment of chronic pain• Pharmacological and psychological• Virtual therapy with mood induction
procedures• Correlation between physical activity, mood
and pain thresholds
OPTIMI• European project with China partners• Stress -> Depression• Predictors for depression coming from
stressful• Several sensors (voice, cortisol, activity,..)• Data mining and case based reasoning
044
Some other e-TI systems
Moderador
Notas de la presentación
Hablar de Eldergames
Conclusions
045
Next generation e-health systems challenges:Intelligent treatment tailoringNatural man-machine interfacesPersuasive technologies
We propose an open platform for easy development of e-health systems -> e-TI
Permits easy “take and play” treatment tailoring
Crucial importance of knowledge representation
To adapt technology to human activities
Moderador
Notas de la presentación
We conclude saying that we have proposed an innovative open platform for an easy developments of complex CAP systems named e-TIP E-TIP permits to develop CAP systems choosing well tested and integrated software and hardware components The treament can be easily tarilored to the patient by the therapists The system receives real time information of the patient for changing the treatment One key component of e-TIP is the first ontology designed, developed and tested for CBT practice named onto-CBT We are testing the platform with the development of a CAP for childhood obesity that we are now clinically testing.
