Using machine learning algorithms to determine the emotional disadaptation of a person by his rhythmogram
Signal Processing
2022-12-29 v1 Human-Computer Interaction
Machine Learning
Tissues and Organs
Abstract
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.
Cite
@article{arxiv.2212.13895,
title = {Using machine learning algorithms to determine the emotional disadaptation of a person by his rhythmogram},
author = {Sergey Stasenko and Olga Shemagina and Eremin Evgeny and Vladimir Yakhno and Sergey Parin and Sofia Polevaya},
journal= {arXiv preprint arXiv:2212.13895},
year = {2022}
}