Finding morphology points of electrocardiographic signal waves using wavelet analysis
Abstract
A new algorithm has been developed for delineation of significant points of various electrocardiographic signal (ECG) waves, taking into account information from all available leads and providing similar or higher accuracy in comparison with other modern technologies. The test results for the QT database show a sensitivity above 97% when detecting ECG wave peaks and 96% for their onsets and offsets, as well as better positive predictive value compared to the previously known algorithms. In contrast to the previously published algorithms, the proposed approach also allows one to determine the morphology of waves. The segmentation mean errors of all significant points are below the tolerances defined by the Committee of General Standards for Electrocardiography (CSE).
Cite
@article{arxiv.1808.04804,
title = {Finding morphology points of electrocardiographic signal waves using wavelet analysis},
author = {Alena I. Kalyakulina and Igor I. Yusipov and Victor A. Moskalenko and Alexander V. Nikolskiy and Artem A. Kozlov and Nikolay Yu. Zolotykh and Mikhail V. Ivanchenko},
journal= {arXiv preprint arXiv:1808.04804},
year = {2019}
}
Comments
Submitted to Radiophysics and Quantum Electronics