APPLICATION OF CONTINUOUS WAVELET TRANSFORM IN THE ANALYSIS OF ELECTROCARDIOGRAM SIGNALS
A. Al Maamari, E. Balakrishnan, S. Narasimman · International Journal of Apllied Mathematics · 2022
The electrocardiogram is known as a primary and powerful diagnostic tool that provides all essential information about the health of our heart.The feature extraction of electrocardiogram, such as R-peak detection, is the central core of any electrocardiogram analysis.Study of electrocardiogram in wavelet domain using continuous wavelet transform with well-known wavelets and other proposed wavelets for this investigation is found to be helpful and yields reasonably reliable results.In order to validate this method, we apply it to several MIT-BIH database records.The continuous wavelet transform with one of the proposed wavelets namely, Mxr-1, achieves 99.97 % sensitivity, 99.89 % positive predictivity, and 0.135 % detection error for accurate detection of R peaks in comparison with the well-known standard wavelets such as Morlet, Mexican hat and Daubechies 4 and two other proposed mother wavelets Mxr-2 and Mxr-3.