Using machine learning algorithms to determine the emotional disadaptation of a person by his rhythmogram

2022/12/16 by Stasenko, Sergey, Shemagina, Olga, Evgeny, Eremin +3
#FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Signal Processing (eess.SP) #Tissues and Organs (q-bio.TO) #electronic engineering #information engineering

paper · doi:10.48550/arxiv.2212.13895

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.

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