A NEW APPROACH, BASED ON THE WAVELET TRANSFORM FOR R PEAKS DETECTION IN AN ECG SIGNAL
Introduction. In electrocardiography, various methods of processing digital signals are used to detect, extract and analyze different components of an electrocardiogram (ECG). Among them, the wavelet transform technique provides promising results in the analysis of the time-frequency characteristics of electrocardiogram components. The automatic detection of ECG components has been widely studied. The R peak is the most characteristic peak of the ECG signal with the maximum amplitude in comparison with other waves. The detection of other peaks is usually conducted after determining the location of the R peak and by defining search intervals in the neighborhood of the R peak. The purpose of this paper is to improve the method of ECG signal components detection based on the wavelet transform. The tasks of the study are the following: to give a brief survey of algorithms of electrocardiogram processing and peaks detection; to compare the existing algorithms for detecting R peaks, based on the wavelet transform. A new algorithm for the detection of R peaks, based on the wavelet transform has been thoroughly considered. The results of the efficiency assessment of the developed method of R peak detection are presented. Results. In the experimental sections of this paper, the proposed algorithms are evaluated using ECG signals from MIT-BIH database. The R peak detector obtained sensitivity TPR=99.9% and precision PPV=99.3 %.