Please use this identifier to cite or link to this item:
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/21291
Title: | ECG classification using wavelet transform and Discriminant Analysis |
Authors: | Farah Nur Atiqah, Francis Abdullah Fazly, Salleh Rosli, Besar marianne_julie@yahoo.co.uk fazly.salleh.abas@mmu.edu.my rosli@mmu.edu.my |
Keywords: | Cardiac conditions Wavelet Discriminant analysis Distance metric |
Issue Date: | 27-Feb-2012 |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Citation: | p. 191-196 |
Series/Report no.: | Proceedings of the International Conference on Biomedical Engineering (ICoBE 2012) |
Abstract: | This paper focuses on two cardiac conditions, the supraventricular ectopy and the ventricular ectopy. Four different mother wavelets are used to produce sets of features. Results shows that each cardiac conditions beat has its own unique characteristics and also decomposition of different mother wavelet produced different degree in discriminative power. The Discriminant Analysis Classifier of different distance metric (linear, quadratic and mahalanobis) are tested. Classification performance mostly reached more than 90% for both individual feature and combined feature classification. |
Description: | Link to publisher's homepage at http://ieeexplore.ieee.org/ |
URI: | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6179003 http://dspace.unimap.edu.my/123456789/21291 |
ISBN: | 978-145771989-9 |
Appears in Collections: | Conference Papers |
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