An effective chip implementation of a real-time eight-channel EEG signal processor based on on-line recursive ICA algorithm

Wei Yeh Shih*, Kuan Ju Huang, Chiu Kuo Chen, Wai-Chi  Fang, Gert Cauwenberghs, Tzyy Ping Jung

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

This paper presents an effective chip implementation of a real-time eight-channel electroencephalogram signal processor based on on-line recursive independent component analysis (ORICA) algorithm. The system architecture is composed of a memory unit, a whitening unit, an ORICA training unit, and an ORICA computation unit. The proposed architecture is implemented using TSMC 90 nm CMOS technology. It occupies a core area of 800×800 μm2 and consumes 4.18 mW at a core supply voltage of 1.0 V and 50 MHz clock operating frequency. Simulated super and sub-Gaussian signals are used to verify the system. The separated signals match those obtained using off-line Matlab-based analysis.

Original languageEnglish
Title of host publication2012 IEEE Biomedical Circuits and Systems Conference
Subtitle of host publicationIntelligent Biomedical Electronics and Systems for Better Life and Better Environment, BioCAS 2012 - Conference Publications
Pages192-195
Number of pages4
DOIs
StatePublished - 1 Dec 2012
Event2012 IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Electronics and Systems for Better Life and Better Environment, BioCAS 2012 - Hsinchu, Taiwan
Duration: 28 Nov 201230 Nov 2012

Publication series

Name2012 IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Electronics and Systems for Better Life and Better Environment, BioCAS 2012 - Conference Publications

Conference

Conference2012 IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Electronics and Systems for Better Life and Better Environment, BioCAS 2012
CountryTaiwan
CityHsinchu
Period28/11/1230/11/12

Fingerprint Dive into the research topics of 'An effective chip implementation of a real-time eight-channel EEG signal processor based on on-line recursive ICA algorithm'. Together they form a unique fingerprint.

  • Cite this

    Shih, W. Y., Huang, K. J., Chen, C. K., Fang, W-C., Cauwenberghs, G., & Jung, T. P. (2012). An effective chip implementation of a real-time eight-channel EEG signal processor based on on-line recursive ICA algorithm. In 2012 IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Electronics and Systems for Better Life and Better Environment, BioCAS 2012 - Conference Publications (pp. 192-195). [6418464] (2012 IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Electronics and Systems for Better Life and Better Environment, BioCAS 2012 - Conference Publications). https://doi.org/10.1109/BioCAS.2012.6418464