**1. Introduction**

The connection between the evolutionary processes of complex systems, which include biological ones, is associated with the phenomenon of symmetry breaking. This leads to the need to study the indicators of asymmetry in the study of the behavior of complex systems [1]. Asymmetry is used as the best method for displaying possible variations when examining the limbs of the skeletal system. The observed asymmetry of the limbs of the skeletal system is associated with mechanical and genetic factors. Electromyography (EMG) research has grown in popularity over the past few years. Progressive understanding of the human body, increased awareness to explore the benefits of interdisciplinary research, advances in sensory technology, and the exponential growth of the computational power of computers are all factors contributing to the expansion of EMG research (relevant references will be explained in detail). Functional asymmetry is an integral feature of the human brain, which manifests itself in various forms of human behavior and motor activity [2]. The study of functional asymmetry and lateral preferences is important not only from a theoretical but also from a practical point of view, since both the effectiveness of the fulfillment of sports motor actions and the likelihood of injury can depend on its severity [3, 4]. It is these areas of research on motor asymmetry in

#### *Complementary Therapies*

sports that remain the most relevant. The aim of the study in [5] was to study the general and individual features of the asymmetry of the speed-strength indicators of the muscles of the knee joint in Paralympic basketball players and its relationship with the results in jumping exercises.

There are different approaches to assessing the asymmetry of different human organs. The asymmetry coefficient was calculated as the ratio of the difference between the minimum and maximum EMG values of symmetrical muscles to a larger value [5]. The Electroencephalography (EEG) method was used to assess the asymmetry of the normalized quantitative indicator—the coefficient of asymmetry [6]. When visualizing the reconstructed cardiac signal, the asymmetry coefficient was also used and estimated [7].
