NDLI: Wavelet Aided SVM Analysis of ECG Signals for Cardiac Abnormality Detection

Content Provider	IEEE Xplore Digital Library
Author	Ghosh, D. Midya, B.L. Koley, C. Purkait, P.
Copyright Year	2005
Description	Author affiliation: Instrumentation Engineering Dept., Haldia Institute of Technology, Haldia 721657 Phone: + 91-03224-252900, Fax: +91-03224-252800 (Ghosh, D.)
Abstract	Automatic detection and classification of electrocardiogram (ECG) signals is of great importance for diagnosis of cardiac abnormalities. A method is proposed here to classify different cardiac abnormalities like Cardiomyopathy, Myocardial infarction, Dysrhythmia, Myocardial hypertrophy and Valvular heart disease. Support Vector Machine (SVM) has been used to classify the patterns inherent in the features extracted through Continuous Wavelet Transform (CWT) of different ECG signals. CWT allows a time domain signal to be transformed into time-frequency domain such that frequency characteristics and the location of particular features in a time series may be highlighted simultaneously. Thus it allows accurate extraction of feature from non-stationary signals like ECG. SVM transforms the multi-dimensional feature space into a linearly separable feature space with the help of Kernel function. In the present work, SVM in regression mode has been successfully applied for the classification of cardiac abnormalities with good diagnostic accuracy.
Starting Page	9
Ending Page	13
File Size	2178461
Page Count	5
File Format	PDF
ISBN	0780395034
DOI	10.1109/INDCON.2005.1590113
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-12-11
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	ECG Characterization Cardiac disease FIR Filter Wavelet analysis Support Vector Machine Feature mapping Support vector machines Continuous wavelet transforms Support vector machine classification Electrocardiography Myocardium Feature extraction Cardiology Signal analysis Continuous Wavelet Transform
Content Type	Text
Resource Type	Article

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