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Performance comparison of independent component analysis algorithms for fetal cardiac signal reconstruction: a study on synthetic fMCG data.

Abstract:

Independent component analysis (ICA) algorithms have been successfully used for signal extraction tasks in the field of biomedical signal processing. We studied the performances of six algorithms (FastICA, CubICA, JADE, Infomax, TDSEP and MRMI-SIG) for fetal magnetocardiography (fMCG). Synthetic datasets were used to check the quality of the separated components against the original traces. Real fMCG recordings were simulated with linear combinations of typical fMCG source signals: maternal a...

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Publisher copy:
10.1088/0031-9155/51/4/018

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Institution:
University of Oxford
Department:
Oxford, MSD, Experimental Psychology
Role:
Author
Journal:
Physics in medicine and biology
Volume:
51
Issue:
4
Pages:
1033-1046
Publication date:
2006-02-05
DOI:
EISSN:
1361-6560
ISSN:
0031-9155
URN:
uuid:53e5fc4b-a971-4efe-aff6-26ff06d3a3c2
Source identifiers:
364135
Local pid:
pubs:364135

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