Application of the Hidden Markov Model for determining PQRST complexes in electrocardiograms
Signal Processing
2020-05-12 v1 Machine Learning
Abstract
The application of the hidden Markov model with various parameters in the segmentation task of QRS, ST, T, P, PQ, ISO complexes of electrocardiograms is considered. Models were trained using the Viterbi algorithm using the QT Database. For comparison, the Pan-Tompkins algorithm for searching for the duration of QRS complexes was modified.
Keywords
Cite
@article{arxiv.2005.04723,
title = {Application of the Hidden Markov Model for determining PQRST complexes in electrocardiograms},
author = {N. S. Shlyankin and A. V. Gaidel},
journal= {arXiv preprint arXiv:2005.04723},
year = {2020}
}
Comments
in Russian