SPDec 16, 2022
Using machine learning algorithms to determine the post-COVID state of a person by his rhythmogramSergey Stasenko, Andrey Kovalchuk, Eremin Evgeny et al.
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.
SPDec 16, 2022
Using machine learning algorithms to determine the emotional disadaptation of a person by his rhythmogramSergey Stasenko, Olga Shemagina, Eremin Evgeny et al.
In this study we applyed machine-learning algorithms to determine the emotional disadaptation of a person by his rhythmogram. We used the method of determining a subject level of emotional disadaptation and recording of cardiorhythmography. We show that electrocardiogram (ECG) signals can be used for the registration of the emotional disadaptation of a person.