Abstract
The paper is devoted to multiresolution analysis of ECG signals in heart rhythm monitoring. The proposed method for R-wave detection in ECG signals is based on extracting detail coefficients from the wavelet decomposition of the ECG signal. It uses nonlinear transforms and the adaptive threshold algorithm. The suggested approach is compared to existing methods for R-wave detection in ECG signals used for processing clinical ECG records from the MIT Physionet database.
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