Evaluation of Blind Source Separation methods for noise reduction in BSPM recorded during exercise

The application of Blind Source Separation (BSS) is now an accepted technique in the feld of biosignal processing. The reduction of noise (biological and technical artifacts) in body surface potential mapping recorded during exercise is a frequent goal. Two BSS methods (FastICA and temporal decorrel...

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Bibliographic Details
Published in2012 Computing in Cardiology pp. 593 - 596
Main Authors Zavala-Fernandez, H., Kania, M., Maniewski, R., Janusek, D.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2012
Subjects
Electrocardiography
Heart
Independent component analysis
Noise reduction
Signal to noise ratio
Source separation
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ISBN1467320765
9781467320764
ISSN0276-6574

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Summary:The application of Blind Source Separation (BSS) is now an accepted technique in the feld of biosignal processing. The reduction of noise (biological and technical artifacts) in body surface potential mapping recorded during exercise is a frequent goal. Two BSS methods (FastICA and temporal decorrelation) for removing noise are compared with respect to the ability to isolate artifacts. Datasets from 13 subjects were studied. For quantification of the results the changes of the root-mean-square (RMS) before and after denoising were analyzed. The use of both BSS methods improved the signal-to-noise-ratios (SNR) in a range of -4 to -10 dB.
ISBN:1467320765
9781467320764
ISSN:0276-6574