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Method for detecting R-waves of an ECG signal based on wavelet decomposition
https://doi.org/10.32446/0368-1025it.2021-5-67-72
Abstract
Increasing the efficiency of cardiological diagnostics based on the analysis of human heart rate variability necessitates the development of accurate methods for detecting the R-waves of the electrocardiosignal (ECG signal). A technique for detecting R-waves of an ECG signal based on the wavelet multiresolution analysis (WMRA). The proposed technique for detecting R-waves includes sequential stages of digital processing of an ECG signal: WMRA; a set of nonlinear operators; adaptive algorithm for detecting signal peaks. A comparative analysis of the proposed technique with existing approaches to the detection of R-waves of the ECG signal has been carried out. To obtain quantitative characteristics of evaluating the efficiency of detecting R-waves, we used imitation modeling of an ECG signal containing noises and interferences of various intensity and nature of occurrence. The effectiveness of the considered approaches to the detection of R-waves of the ECG signal was investigated for clinical recordings of ECG signal. The absolute error of measuring the RR-interval durations for model signals with different noise levels is estimated. It is shown that the proposed method for detecting R-waves of an ECG signal based on WMRA is characterized by small errors in measuring the duration of RR-intervals, high rates of true detection and small errors of false detection and omission.
About the Author
A. A. Fedotov
Samara National Research University (Samara University)
Russian Federation
Russian Federation
Aleksandr A. Fedotov
Samara
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Review
For citations:
Fedotov A.A. Method for detecting R-waves of an ECG signal based on wavelet decomposition. Izmeritel`naya Tekhnika. 2021;(5):67- 72. (In Russ.) https://doi.org/10.32446/0368-1025it.2021-5-67-72
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