1 / 18

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

skylar
Download Presentation

EEG Detection and Recording

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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

More Related