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EEG Detection and Recording Instructor: S. M. Fakhraie Presented by: Hamed Dorosti All materials are copy right of their respective authors as listed in.

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Presentation on theme: "EEG Detection and Recording Instructor: S. M. Fakhraie Presented by: Hamed Dorosti All materials are copy right of their respective authors as listed in."— Presentation transcript:

1 EEG Detection and Recording Instructor: 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 Tehran School of Electrical and Computer Engineering Custom Implementation of DSP Systems

2 Outline Introduction Applications An EEG Detection System A 1V 22µW 32-Channel Implantable EEG Recording IC References

3 Introduction[7]

4 Introduction(continued) Amplitude 1-100µV Frequency usually within 0.5-40Hz Chronic disease diagnosing signals (<150Hz) Distortions & Noise (< 1.5µV rms ) Electrode Offset (EO)

5 Introduction(continued)[7]

6 Applications Clinical ◦Quality is main concern Non-Clinical ◦Human computer interface & gaming ◦Quality ◦Should be Comfortable

7 A wireless EEG System[7]

8 System Partitioning[6] EEG Acquisition Feature Vector Extraction EEG Classification

9 System Partitioning[6]

10 A 1V 22µW 32-Channel Implantable EEG Recording IC [1] 32 analog front-end blocks 32-to-1 multiplexer 10b SAR-ADC Reference generator

11 System Architecture[1]

12 32 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

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

14 Processor Block Diagram[6]

15 Classification[6]

16 Classification (continued)[6]

17 References 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.

18 Thank You for Attention


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