DocumentCode
380923
Title
The effect of the whitening matrix in determining the final solution in blind source separation of biomedical signals
Author
Al-Nashash, Hasan ; Abdul-Hamid, Husehi
Author_Institution
American Univ. of Sharjah, United Arab Emirates
Volume
2
fYear
2001
fDate
2001
Firstpage
1994
Abstract
In this paper, independent component analysis (ICA) is used for blind source separation of biomedical signals. Visual and quantitative tests of the ability of ICA to separate signals were performed using a fast ICA algorithm. Results obtained from simulated and FECG signals show that the ICA performance using the whitening matrix of the mixed signals was superior to that of random initial weights.
Keywords
electrocardiography; medical signal processing; random noise; FECG signals; electrodiagnostics; fast ICA algorithm; foetal electrocardiograph; independent components analysis; quantitative tests; random initial weights; simulated signals; visual tests; whitening matrix effect; Blind source separation; Independent component analysis; Interference; Medical signal detection; Monitoring; Myocardium; Performance evaluation; Signal to noise ratio; Source separation; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
ISSN
1094-687X
Print_ISBN
0-7803-7211-5
Type
conf
DOI
10.1109/IEMBS.2001.1020621
Filename
1020621
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