Using machine learning algorithms to determine the emotional disadaptation of a person by his rhythmogram
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.
- Publication:
-
arXiv e-prints
- Pub Date:
- December 2022
- DOI:
- 10.48550/arXiv.2212.13895
- arXiv:
- arXiv:2212.13895
- Bibcode:
- 2022arXiv221213895S
- Keywords:
-
- Electrical Engineering and Systems Science - Signal Processing;
- Computer Science - Human-Computer Interaction;
- Computer Science - Machine Learning;
- Quantitative Biology - Tissues and Organs