NDLI: Hybrid ICA algorithm for ECG analysis

Content Provider	IEEE Xplore Digital Library
Author	Phegade, M. Mukherji, P. Sutar, U.S.
Copyright Year	2012
Description	Author affiliation: Department of Electronics and Telecommunications, STES's SKNCOE, Vadgaon (Bk.), Pune, India (Phegade, M.; Mukherji, P.) \|\| Department of Electronics and Telecommunications, JSPM's Narhe Technical Campus, Pune, India (Sutar, U.S.)
Abstract	Electrocardiogram (ECG) signals are among the most important sources of diagnostic information in healthcare, so improvements in their analysis are also of growing importance. The rapidly developing signal technology and a flourishing variety of algorithms have proved successful targets for recent advances in research. Several techniques have been proposed to extract the ECG components contaminated with the background noise and allow the measurement of subtle features in the ECG signal. This paper illustrates the ability of Independent Component Analysis (ICA) for removal of noises and artifacts and source separation. With the discussions on some ICA schemes such as JADE algorithm, Fast ICA and constrained ICA (cICA), a hybrid algorithm using Fast ICA for noise removal and cICA for source separation has been proposed along with their simulation results.
Starting Page	478
Ending Page	483
File Size	600271
Page Count	6
File Format	PDF
ISBN	9781467351140
e-ISBN	9781467351164
DOI	10.1109/HIS.2012.6421381
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-04
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision support systems Constrained ICA (cICA) Independent Component Analysis (ICA) Healthcare Electrocardiogram (ECG) Fast ICA Hybrid intelligent systems
Content Type	Text
Resource Type	Article

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