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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/17563
Title: Modeling and feature extraction of ECG using independent component analysis
Authors: Chawla M.P.S.
Verma H.K.
Kumar V.
Published in: Proceedings of IET Conference Publications
Abstract: Independent Component Analysis (ICA) is a new technique for analyzing multi-variant data. The idea is to replace PCA (Principal component analysis), which is used as the preprocessing of many ICA algorithms. The purpose of applying ICA will be to segregate ECG from all these. Removal of the baseline drift is required, since it is not of our interest and might affect the quality of the derived respiration. After the preprocessing which removes base line wander, an ICA algorithm is used to estimate the separation matrix and mixing system. The proposed PCA-ICA combined algorithm had a twofold utility of finding QRS complex location as well as marking of all R-peaks in signal s-1 for exact reading and interpretation. Such an approach allows for the consideration of priors on the structural nature of the different class of ECG signals that are to be separated. In the present work, Joint diagonalization of eigen values (JADE) algorithm for ICA is applied to two ECG CSE data base files and the two ECG waveforms are separated as Independent components. The source signal si had base line wander which was removed using ICA.
Citation: Proceedings of IET Conference Publications, (2006). Hong Kong
URI: https://doi.org/10.1049/cp:20061995
http://repository.iitr.ac.in/handle/123456789/17563
Issue Date: 2006
Keywords: Base-line wander
Blind source separation
Electrocardiogram
Feature extraction
Independent Component Analysis
Modeling
Non-gaussanity
Principal component analysis
Reconstruction
Scatter plots
ISBN: 0863412467; 9780863412462
Author Scopus IDs: 16174096200
57204684351
25646515800
Author Affiliations: Chawla, M.P.S., Department of Electrical Engineering, Indian Institute of Technology, Roorkee 247667, India
Verma, H.K., Department of Electrical Engineering, Indian Institute of Technology, Roorkee 247667, India
Kumar, V., Department of Electrical Engineering, Indian Institute of Technology, Roorkee 247667, India
Corresponding Author: Chawla, M. P. S.; Department of Electrical Engineering, Indian Institute of Technology, Roorkee 247667, India; email: mpschawla@rediffmail.com
Appears in Collections:Conference Publications [EE]

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