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

Content Provider	IEEE Xplore Digital Library
Author	Zavala-Fernandez, H. Kania, M. Maniewski, R. Janusek, D.
Copyright Year	2012
Description	Author affiliation: Nalecz Institute of Biocybernetics and Biomedical Engineering, PAS, Warsaw, Poland (Zavala-Fernandez, H.; Kania, M.; Maniewski, R.; Janusek, D.)
Abstract	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.
Starting Page	593
Ending Page	596
File Size	679429
Page Count	4
File Format	PDF
ISBN	9781467320764
ISSN	2325887X
e-ISBN	9781467320771
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-09
Publisher Place	Poland
Access Restriction	Subscribed
Rights Holder	Creative Commons Attribution License 2.5 (CCAL)
Subject Keyword	Electrocardiography Noise reduction Source separation Signal to noise ratio Heart Independent component analysis
Content Type	Text
Resource Type	Article
Subject	Computer Science Cardiology and Cardiovascular Medicine

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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