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Genetic algorithm based independent component analysis to separate noise from Electrocardiogram signals

Palaniappan, Ramaswamy, Gupta, C.N. (2006) Genetic algorithm based independent component analysis to separate noise from Electrocardiogram signals. In: 2006 IEEE International Conference on Engineering of Intelligent Systems. . IEEE ISBN 978-1-4244-0456-8. (doi:10.1109/ICEIS.2006.1703159) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1109/ICEIS.2006.1703159

Abstract

A technique is proposed to reduce additive noise from biomedical signals that have high kurtosis values using genetic algorithm (GA). The technique is applied to reduce multiple linear additive noises from electrocardiogram (ECG) signals, which have high kurtosis values due to the presence of R peaks. This GA method uses the basic principles of Independent Component Analysis (ICA) and could also be used to reduce additive noise from other signals that have high kurtosis values. The method is simpler compared to neural learning algorithms and does not require any prior statistical knowledge of the signals. An additional advantage of the method compared to other ICA methods is that only the ECG signal will be extracted thus avoiding extraction of all independent components and manual inspection to determine the ECG signal.

Item Type: Conference or workshop item (Proceeding)
DOI/Identification number: 10.1109/ICEIS.2006.1703159
Additional information: Unmapped bibliographic data: LA - English [Field not mapped to EPrints] J2 - ICEIS Proc. Sixth Int. Conf. Enterp. Inf. Syst. [Field not mapped to EPrints] AD - Dept. of Computer Science, University of Essex, Colchester, CO4 3SQ, United Kingdom [Field not mapped to EPrints] AD - Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore [Field not mapped to EPrints] DB - Scopus [Field not mapped to EPrints] M3 - Conference Paper [Field not mapped to EPrints] C3 - IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006 [Field not mapped to EPrints]
Uncontrolled keywords: Additive noise, Electrocardiography, Genetic algorithms, Learning algorithms, Biomedical signals, Kurtosis values, Neural learning algorithms, Independent component analysis
Divisions: Faculties > Sciences > School of Computing
Faculties > Sciences > School of Computing > Data Science
Depositing User: Palaniappan Ramaswamy
Date Deposited: 15 Dec 2018 16:44 UTC
Last Modified: 30 May 2019 08:29 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/70728 (The current URI for this page, for reference purposes)
Palaniappan, Ramaswamy: https://orcid.org/0000-0001-5296-8396
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