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Wavelet Analysis of Abnormal ECGS


Affiliations
1 Department of Mathematics, Vasavi College of Engineering, India
2 Department of Earth Science, Sultan Qaboos University, Oman
     

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Detection of the warning signals by the heart can be diagnosed from ECG. An accurate and reliable diagnosis of ECG is very important however which is cumbersome and at times ambiguous in time domain due to the presence of noise. Study of ECG in wavelet domain using both continuous Wavelet transform (CWT) and discrete Wavelet transform (DWT), with well known wavelet as well as a wavelet proposed by the authors for this investigation is found to be useful and yields fairly reliable results. In this study, Wavelet analysis of ECGs of Normal, Hypertensive, Diabetic and Cardiac are carried out. The salient feature of the study is that detection of P and T phases in wavelet domain is feasible which are otherwise feeble or absent in raw ECGs.

Keywords

Electrocardiogram, Discrete Wavelet Transform, Continuous Wavelet Transform, P and T Phases.
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  • Wavelet Analysis of Abnormal ECGS

Abstract Views: 211  |  PDF Views: 0

Authors

Vasudha Nannaparaju
Department of Mathematics, Vasavi College of Engineering, India
Sundararajan Narasimman
Department of Earth Science, Sultan Qaboos University, Oman

Abstract


Detection of the warning signals by the heart can be diagnosed from ECG. An accurate and reliable diagnosis of ECG is very important however which is cumbersome and at times ambiguous in time domain due to the presence of noise. Study of ECG in wavelet domain using both continuous Wavelet transform (CWT) and discrete Wavelet transform (DWT), with well known wavelet as well as a wavelet proposed by the authors for this investigation is found to be useful and yields fairly reliable results. In this study, Wavelet analysis of ECGs of Normal, Hypertensive, Diabetic and Cardiac are carried out. The salient feature of the study is that detection of P and T phases in wavelet domain is feasible which are otherwise feeble or absent in raw ECGs.

Keywords


Electrocardiogram, Discrete Wavelet Transform, Continuous Wavelet Transform, P and T Phases.