Using machine learning algorithms to determine the post-COVID state of a person by his rhythmogram
Sergey V. Stasenko
Andrey Kovalchuk
Eremin Evgeny
Natalya Zarechnova
Maria Tsirkova
S. Permyakov
S. Parin
S. Polevaya

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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