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Using machine learning algorithms to determine the post-COVID state of a person by his rhythmogram

Signal Processing 2023-12-01 v1 Human-Computer Interaction Machine Learning Tissues and Organs
Authors: Sergey Stasenko , Andrey Kovalchuk , Eremin Evgeny , Natalya Zarechnova , Maria Tsirkova , Sergey Permyakov , Sergey Parin , Sofia Polevaya
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Abstract

In this study we applyed machine-learning algorithms to determine the post-COVID state of a person. During the study, a marker of the post-COVID state of a person was found in the electrocardiogram data. We have shown that this marker in the patient's ECG signal can be used to diagnose a post-COVID state.

Keywords

machine learning post-covid state rhythmogram electrocardiogram ecg marker diagnosis

Cite

@article{arxiv.2212.13878,
  title  = {Using machine learning algorithms to determine the post-COVID state of a person by his rhythmogram},
  author = {Sergey Stasenko and Andrey Kovalchuk and Eremin Evgeny and Natalya Zarechnova and Maria Tsirkova and Sergey Permyakov and Sergey Parin and Sofia Polevaya},
  journal= {arXiv preprint arXiv:2212.13878},
  year   = {2023}
}

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