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EEG Detection and Recording

University of Tehran School of Electrical and Computer Engineering Custom Implementation of DSP Systems. EEG Detection and Recording. Instructor: S. M. Fakhraie Presented by: Hamed Dorosti

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EEG Detection and Recording

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  1. University of Tehran School of Electrical and Computer Engineering Custom Implementation of DSP Systems EEG Detection and Recording Instructor: S. M. Fakhraie Presented by: HamedDorosti All materials are copy right of their respective authors as listed in the references and have been used here for educational purpose only.

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

  3. Introduction[7]

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

  5. Introduction(continued)[7]

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

  7. A wireless EEG System[7]

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

  9. System Partitioning[6]

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

  11. System Architecture[1]

  12. 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 32 analog front-end blocks

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

  14. Processor Block Diagram[6]

  15. Classification[6]

  16. Classification (continued)[6]

  17. 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. References

  18. Thank You for Attention

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