FIELD: medicine; physical therapy; sports medicine; pathophysiology.
SUBSTANCE: invention relates to the field of medicine, in particular to the field of physical therapy and sports medicine, pathophysiology; it can be used for the prediction of a psycho-emotional condition level of athletes participating in extreme sports. Electroencephalography (EEG) is carried out. The most significant predictors are determined: delta (1I); alpha (I); alpha (M); theta (M); delta (2M); delta (1M); EEG POLY; beta (2I); PS; beta (1I), and beta (1M). Next, by claimed formulas, linear-discriminant functions (hereinafter – LDF1-LDF8) are determined. In the highest value of LDF1 in athletes participating in extreme sports, there is the highest probability of a critical psycho-emotional condition level. In the highest value of LDF2, there is the highest probability of an extreme psycho-emotional condition level. In the highest value of LDF3, there is the highest probability of a very bad psycho-emotional condition level. In the highest value of LDF4, there is a probability of an unsatisfactory psycho-emotional condition level. In the highest value of LDF5, there is a probability of a satisfactory psycho-emotional condition level. In the highest value of LDF6, there is a probability of a good psycho-emotional condition level. In the highest value of LDF7, there is a probability of a very good psycho-emotional condition level. In the highest value of LDF8, there is the highest probability of an excellent psycho-emotional condition level.
EFFECT: method provides for effective prediction of a psycho-emotional condition level in athletes participating in extreme sports due to the assessment of a complex of the most significant indicators.
1 cl, 2 tbl, 1 ex
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Authors
Dates
2022-09-16—Published
2020-12-14—Filed