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

Record type: Conference or Workshop Item (Paper)

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.

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Citation

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.

More information

Published date: July 2008
Additional Information: 1 CD-ROM : col. ; 4 3/4 in.
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
Keywords: blind source separation, independent component analysis (ICA), single channel ICA, automated source extraction, independent process analysis

Identifiers

Local EPrints ID: 65184
URI: http://eprints.soton.ac.uk/id/eprint/65184
ISBN: 9780863419348
PURE UUID: d3f77475-b39e-4561-a687-0bbc08d3faa9

Catalogue record

Date deposited: 04 Mar 2009
Last modified: 17 Jul 2017 14:09

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