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

The development of new methods and approaches to the rapid diagnosis of stress is an urgent task, taking into account the current epidemiological (Covid-19) situation [1]. Psychological stress plays a key role in the development of many physical and neurological diseases. The term "stress" is usually used to denote both a strong adverse physical and / or psychogenic external environmental impact, and for a state of psychophysiological stress that develops under their influence, initially serving to adapt a person to new environmental conditions. Stress, as a chronic psychophysiological overstrain, can provoke the manifestation or exacerbation of symptoms of the disease, serve as one of the risk factors or aggravate the severity of the disease. Emotional overstrain reduces the productivity and quality of work performed by a person.