Publication Type:

Conference Paper

Source:

Proceedings of 2011 International Conference on Process Automation, Control and Computing, PACC 2011, Coimbatore (2011)

ISBN:

9781612847641

URL:

http://www.scopus.com/inward/record.url?eid=2-s2.0-80052223403&partnerID=40&md5=bd925cefaf1775725ed645ad414ef491

Keywords:

Automated analysis, Automation, Blind source separation, ECG analysis, ECG signals, electrocardiogram, Electrocardiography, Electrochromic devices, Equivariance, Independent component analysis, Independent components, Maximum entropy, Process control, Source contributions, Underlying principles

Abstract:

Automated analysis of electrocardiogram (ECG) has got great attention for cardiac diagnosis in the recent years. This paper describes two different ECG analysis algorithms using Independent Component Analysis (ICA) algorithm. ICA refers to set of algorithms for blind source separation (BSS). The underlying principle is to separate N signals from a mix of different source contributions, into signals of independent. © 2011 IEEE.

Notes:

cited By (since 1996)0; Conference of org.apache.xalan.xsltc.dom.DOMAdapter@45ec21ea ; Conference Date: org.apache.xalan.xsltc.dom.DOMAdapter@11a6ad83 Through org.apache.xalan.xsltc.dom.DOMAdapter@55c97c82; Conference Code:86336

Cite this Research Publication

U. Nimitha and Supriya, P., “Independent component approach for the analysis of ECG signals”, in Proceedings of 2011 International Conference on Process Automation, Control and Computing, PACC 2011, Coimbatore, 2011.