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A New Wavelet-based Algorithm for R-peak Detection in ECG and it’s a Comparison with the Currently Existing Algorithms
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 181 - Number 46 |
| Year of Publication: 2019 |
| Authors: M. S. Dahwah, A. N. Leukhin |
10.5120/ijca2019918604
|
M. S. Dahwah, A. N. Leukhin . A New Wavelet-based Algorithm for R-peak Detection in ECG and it’s a Comparison with the Currently Existing Algorithms. International Journal of Computer Applications. 181, 46 ( Mar 2019), 22-25. DOI=10.5120/ijca2019918604
Abstract
The purpose of this paper is to develop a new approach for R-peak detection in ECG and compare it with the most effective and existing algorithms. The proposed approach is based on DWT and envelope for the first stage of preprocessing and decision or detecting it was achieved by adaptive thresholding. The proposed algorithm is compared with Pan & Tompkins, Savitzky-Golay smoothing filter, Hilbert and wavelet transforms as well as fast Fourier transform algorithm to investigate these techniques of R peak detection and evaluate the wavelet-based algorithm comparing with them. The algorithms are evaluated in the experimental section using ECG signals from the MIT-BIH database. The results of detection algorithms show that the proposed wavelet-based algorithm gets the highest sensitivity by 99.9% with higher reliability compared to other algorithms, also by analyzing the precision of them, it’s come to light that FFT improved the highest precision with 99.7%.
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