An efficient VLSI implementation of on-line recursive ICA processor for real-time multi-channel EEG signal separation

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2013, Pages 6808-6811

  Shih, Wei Yeh ^a   Liao, Jui Chieh ^a   Huang, Kuan Ju ^a   Fang, Wai Chi ^a   Cauwenberghs, Gert ^b   Jung, Tzyy Ping ^b  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AVERAGE CORRELATION COEFFICIENTS; HARDWARE COMPLEXITY; HARDWARE PARALLELISMS; INDEPENDENT COMPONENTS; MATRIX MULTIPLY; PROCESSING UNITS; TIMING CONSTRAINTS; VLSI IMPLEMENTATION;

CMOS INTEGRATED CIRCUITS; DESIGN; HARDWARE; IMAGE CODING; INDEPENDENT COMPONENT ANALYSIS;

COMPUTER ARCHITECTURE;

DEVICES; ELECTROENCEPHALOGRAPHY; EQUIPMENT DESIGN; HUMAN; PRINCIPAL COMPONENT ANALYSIS; PROCEDURES; SEMICONDUCTOR; SIGNAL PROCESSING;

ELECTROENCEPHALOGRAPHY; EQUIPMENT DESIGN; HUMANS; PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING, COMPUTER-ASSISTED; TRANSISTORS, ELECTRONIC;

EID: 84886497514     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2013.6611120     Document Type: Conference Paper

References (11)

1. R. Vigario, "Extraction of ocular artifacts from EEG using independent component analysis, " Electroencephalogr. Clin. Neurophysiol., vol. 103, pp. 395-404, 1997.
2. A. J. Bell and T. J. Sejnowski, "An information maximization approach to blind separation and blind deconvolution, " Neural Comput., vol. 7, pp. 1129-1159, Nov. 1995.
3. T-W. Lee, M. Girolami, and T.J. Sejnowski, "Independent Component Analysis using an Extended Infomax Algorithm for Mixed Sub-Gaussian and Super-Gaussian Sources, " Neural Computation, Vol.11, pp. 417-441, 1999.
4. Cardoso, J.F.; Souloumiac, A.;, "Blind beamforming for non-Gaussian signals, " Radar and Signal Processing, IEE Proceedings F, vol.140, no.6, pp.362-370, Dec 1993.
5. A. Hyvärinen; and E. Oja.; "A Fast Fixed-Point Algorithm for Independent Component Analysis, " Neural Computation, Vol. 9, No. 7, pp. 1483-1492, 1997.
6. Akhtar, M.T.; Tzyy-Ping, Jung; Makeig, S.; Cauwenberghs, G.; "Recursive independent component analysis for online blind source separation, " Circuits and Systems (ISCAS), 2012 IEEE International Symposium on, vol., pp.2813-2816, 20-23 May 2012.
7. H. Du, H. Qi, and X. Wang, "Comparative study of VLSI solutions to independent component analysis, " IEEE Trans. Ind. Electron., vol. 54, no. 1, pp. 548-558, Feb. 2007.
8. Meher, P.K.; Valls, J.; Tso-Bing, Juang; Sridharan, K.; Maharatna, K.;, "50 Years of CORDIC: Algorithms, Architectures, and Applications, " Circuits and Systems I: Regular Papers, IEEE Transactions on, vol.56, no.9, pp.1893-1907, Sept. 2009.
9. Chiu-Kuo Chen, Ericson Chua, Chih-Chung Fu, Shao-Yen Tseng, and Wai-Chi Fang, " A Hardware-Efficient VLSI Implementation of a 4-Channel ICA Processor for Biomedical Signal Measurement, " in Proc. IEEE Int. Conf. on Consumer Electronics, Jan. 2011, pp. 607 - 608.
10. Lan-Da Van, Di-You Wu, and Chien-Shiun Chen, "Energy-Efficient FastICA Implementation for Biomedical Signal Separation, " IEEE Trans. Neural Networks, vol.22, no.11, pp.1809-1822, Nov. 2011.
11. Wei-Yeh Shih; Kuan-Ju Huang; Chiu-Kuo Chen; Wai-Chi Fang; Cauwenberghs, G.; Tzyy-Ping Jung, "An effective chip implementation of a real-time eight-channel EEG signal processor based on on-line recursive ICA algorithm, " Biomedical Circuits and Systems Conference (BioCAS), 2012 IEEE, pp.192-195, 28-30 Nov. 2012.