eeg detection and recording instructor: s. m. fakhraie presented by: hamed dorosti all materials are...

EEG Detection and EEG Detection and RecordingRecordingInstructor: S. M. Fakhraie

Presented by: Hamed Dorosti

All materials are copy right of their respective authors as listed in the references and have been used here for educational purpose only.

University of TehranSchool of Electrical and Computer Engineering

Custom Implementation of DSP Systems

OutlineOutline

Introduction

Applications

An EEG Detection System

A 1V 22µW 32-Channel Implantable EEG

Recording IC

References

Introduction[7]Introduction[7]

Introduction(continued)Introduction(continued)

Amplitude 1-100µVFrequency usually within 0.5-40HzChronic disease diagnosing signals

(<150Hz)

Distortions & Noise (< 1.5µVrms)

Electrode Offset (EO)

Introduction(continued)[7]Introduction(continued)[7]

ApplicationsApplications

Clinical◦Quality is main concern

Non-Clinical◦Human computer interface & gaming◦Quality◦Should be Comfortable

A wireless EEG System[7]A wireless EEG System[7]

System Partitioning[6]System Partitioning[6]

EEG Acquisition

Feature Vector Extraction

EEG Classification

System Partitioning[6]System Partitioning[6]

A 1V 22µW 32-Channel A 1V 22µW 32-Channel Implantable EEG Recording IC [1]Implantable EEG Recording IC [1]

32 analog front-end blocks

32-to-1 multiplexer

10b SAR-ADC

Reference generator

System Architecture[1]System Architecture[1]

32 analog front-end blocks32 analog front-end blocks

3 cascade stages

◦Low-noise front-end high-pass amplifier

◦Tunable low-pass filter with adjustable gain

◦Wide-band unity-gain buffer with high slew rate

Low-noise front-end high-pass Low-noise front-end high-pass amplifier [1]amplifier [1]

Processor Block Diagram[6]Processor Block Diagram[6]

Classification[6]Classification[6]

Classification (continued)[6]Classification (continued)[6]

ReferencesReferences X. Zou, W. S. Liew, L. Yao and Y. Lian, “A 1-V 22-µW 32-Channel Implantable EEG

Recording IC,” Accepted by International Solid-State Circuits Conference (ISSCC) 2010.

R. F. Yazicioglu, P. Merken, R. Puers, and C. V. Hoof, “A 200μW Eight-Channel Acquisition ASIC for Ambulatory EEG Systems,” ISSCC Dig. Tech. Papers, pp.164-165, 2008.

X. D. Zou, X. Y. Xu, L. B. Yao, and Y. Lian, “A 1-V 450-nW Fully Integrated Programmable Biomedical Sensor Interface Chip,” IEEE J. Solid-State Circuits, pp. 1067-1077, Apr. 2009. 

X. Y. Xu, X. D. Zou, L. B. Yao, and Y. Lian, “A 1-V 450-nW Fully Integrated Biomedical Sensor Interface System,” 2008 Symp. VLSI Circuits Dig. Tech. Papers, pp. 78-79, 2008.

W. S. Liew, X. D. Zou, L. B. Yao, and Y. Lian, “A 1-V 60-μW 16-Channel Interface Chip for Implantable Neural Recording,” Proc. of the IEEE Custom Integrated Circuits Conference, pp. 507-510, 2009.

N. Verma, A. Shoeb, J. V. Guttag, and A. P. Chandrakasan, “A Micro-power EEG Acquisition SoC with Integrated Seizure Detection Processor for Continuous Patient Monitoring,” Proc. of the IEEE Custom Integrated Circuits Conference, pp. 507-510, 2009.

W. S. Liew, X. D. Zou, L. B. Yao, and Y. Lian, “Wearable Battery-free Wireless 2- hannel EEG Systems Powered by Energy Scavengers,” Proc. of the IEEE Custom Integrated Circuits Conference, pp. 507-510, 2009.

Thank You for AttentionThank You for Attention