Abstract
Aim. The article deals with forecasting electrocardiogram changes (ECG) in athletes using stabilometric parameters. Materials and methods. 77 elite athletes aged 16–18 participated in the study (Candidate for Master of Sport, Master of sport: judo, taekwondo). To reveal cardiac conductivity disturbances and heart rhythm disorders, we used veloergometry. To assess postural balance, we used stabilometric equipment. Results. We registered incomplete right bundle branch block (IRBBB) in 5 athletes (22.72 %), extrasystoles – in 10 athletes (45.45 %), early repolarization syndrome (ERS) – in 3 athletes (13.63 %), sinoatrial block (SB) – in 2 athletes (9.09 %), pacemaker migration – in 2 athletes (9.09 %). The standard deviation of center of pressure (CoP) in the frontal plane in athletes with ECG changes in the natural standing position exceeded values of athletes without ECG changes by 94.93 % with the eyes opened; by 121.09 % with the head turned to the left; by 71.05 % with the head turned to the left and the eyes closed; by 61.98 % with the head turned to the right. We built a mathematical model. Conclusion. We studied the peculiarities of ECG changes in athletes. The parameters of stabilometry in athletes both with and without ECG changes were statistically significant (p < 0.05). With the help of stabilometric data, we created Random Forest model for forecasting possible ECG changes such as cardiac conductivity disturbances and heart rhythm disorders.
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