A fast algorithm for automated independent process separation from single channel biomedical signal recordings: Fast IPA


James, C.J. and Davies, M.E. (2008) A fast algorithm for automated independent process separation from single channel biomedical signal recordings: Fast IPA In 4th IET International Conference on Advances in Medical, Signal and Information Processing, 2008. MEDSIP 2008. Institute of Engineering and Technology, IET., pp. 1-4.

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Description/Abstract

Independent component analysis (ICA) has found many uses in source separation in biomedical signals. We highlight a methodology and put forward an algorithm which allows single channel ICA to be performed on single channel biomedical signal recordings. The algorithm uses a fast, deflationary approach to efficiently extract independent processes underlying the single channel recordings. We show that for processes which are reasonably spectrally disjoint the algorithm can separate out individual sources. We show examples of this using brain signal recordings and abdominal foetal recordings.

Item Type: Conference or Workshop Item (Paper)
Additional Information: 1 CD-ROM : col. ; 4 3/4 in.
ISBNs: 9780863419348 (print)
Venue - Dates: Proceedings of MEDSIP 2008 4th IET International Conference on Advances in Medical Signal and Information Processing, Sta Margherita Ligure, Italy, 14-16 July, 2008-07-14 - 2008-07-16
Related URLs:
Keywords: blind source separation, independent component analysis (ICA), single channel ICA, automated source extraction, independent process analysis
Subjects:
ePrint ID: 65184
Date :
Date Event
July 2008Published
Date Deposited: 04 Mar 2009
Last Modified: 16 Apr 2017 17:16
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/65184

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