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An efficient Jacobi-like Deflationary ICA algorithm: Application to EEG denoising

Sardouie, S. H ; Sharif University of Technology | 2015

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  1. Type of Document: Article
  2. DOI: 10.1109/LSP.2014.2385868
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2015
  4. Abstract:
  5. In this paper, we propose a Jacobi-like Deflationary ICA algorithm, named JDICA. More particularly, while a projection-based deflation scheme inspired by Delfosse and Loubaton's ICA technique (DelLR) is used, a Jacobi-like optimization strategy is proposed in order to maximize a fourth order cumulant-based contrast built from whitened observations. Experimental results obtained from simulated epileptic EEG data mixed with a real muscular activity and from the comparison in terms of performance and numerical complexity with the FastICA, RobustICA and DelLR algorithms, show that the proposed algorithm offers the best trade-off between performance and numerical complexity when a low number (∼ 12) of electrodes is available
  6. Keywords:
  7. Jacobi-like optimization ; Economic and social effects ; Electroencephalography ; Electrophysiology ; Higher order statistics ; Independent component analysis ; De-noising ; Deflation ; Fourth order cumulant ; ICA algorithms ; Interictal epileptic data ; Muscular activities ; Numerical complexity ; Optimization strategy ; Algorithms
  8. Source: IEEE Signal Processing Letters ; Volume 22, Issue 8 , December , 2015 , Pages 1198-1202 ; 10709908 (ISSN)
  9. URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6997991