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arXiv · 2212.13878

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

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.

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BibTeXRIS

Sergey Stasenko, Andrey Kovalchuk, Eremin Evgeny, Natalya Zarechnova, Maria Tsirkova, Sergey Permyakov, Sergey Parin, Sofia Polevaya. 2022-12-16. Using machine learning algorithms to determine the post-COVID state of a person by his rhythmogram. https://doi.org/10.3390/s23115272

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