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Blind source separation to extract foetal heart sounds from noisy abdominal phonograms: a single channel method

Blind source separation to extract foetal heart sounds from noisy abdominal phonograms: a single channel method
Blind source separation to extract foetal heart sounds from noisy abdominal phonograms: a single channel method
A method for extracting foetal heart sounds (FHS) from noisy single channel abdominal phonograms is proposed. First, an appropriate matrix of delays is constructed; then multiple independent components are calculated using FastICA; finally, components are projected back onto the measurement space and those associated to FHS are subjectively selected. Three single channel phonograms, obtained from different subjects were analysed. Preliminary results are promising and showed successfully extractions of FHS (S1, S2). Future work will increase the number of subjects, evaluate the extraction quality, look for more information about foetal well-being, find an objective way to select FHS, and explore ICA implementations that utilise temporal structure such as Temporal Decorrelation source SEParation (TDSEP).
9780863419348
1-4
IEEE
Jiménez-González, A.
41b93005-40cb-42ff-9850-77bcdbcbb406
James, C.J.
b3733b1f-a6a1-4c9b-b75c-6191d4142e52
Jiménez-González, A.
41b93005-40cb-42ff-9850-77bcdbcbb406
James, C.J.
b3733b1f-a6a1-4c9b-b75c-6191d4142e52

Jiménez-González, A. and James, C.J. (2008) Blind source separation to extract foetal heart sounds from noisy abdominal phonograms: a single channel method. In 4th IET International Conference on Advances in Medical, Signal and Information Processing (MEDSIP 2008). IEEE. pp. 1-4 .

Record type: Conference or Workshop Item (Paper)

Abstract

A method for extracting foetal heart sounds (FHS) from noisy single channel abdominal phonograms is proposed. First, an appropriate matrix of delays is constructed; then multiple independent components are calculated using FastICA; finally, components are projected back onto the measurement space and those associated to FHS are subjectively selected. Three single channel phonograms, obtained from different subjects were analysed. Preliminary results are promising and showed successfully extractions of FHS (S1, S2). Future work will increase the number of subjects, evaluate the extraction quality, look for more information about foetal well-being, find an objective way to select FHS, and explore ICA implementations that utilise temporal structure such as Temporal Decorrelation source SEParation (TDSEP).

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More information

Published date: July 2008
Additional Information: ISSN 0537-9989
Venue - Dates: 4th IET International Conference on Advances in Medical Signal and Information Processing (MEDSIP 2008), Santa Margherita Ligure, Italy, 2008-07-14 - 2008-07-16

Identifiers

Local EPrints ID: 63685
URI: http://eprints.soton.ac.uk/id/eprint/63685
ISBN: 9780863419348
PURE UUID: 58bccdf6-14cf-49a9-a127-2a1a73436715

Catalogue record

Date deposited: 30 Oct 2008
Last modified: 05 Mar 2024 17:39

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Contributors

Author: A. Jiménez-González
Author: C.J. James

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