|Title:||Complex Analysis of Human Movements based on the Identification of Amplitude-Time Characteristics of Electromyographic Patterns|
|Authors:||Davydova, N. S.|
Davydov, M. V.
Osipov, A. N.
Mezhennaya, M. M.
digital signal processing
electromyographic motion pattern
|Publisher:||Global Journals, USA|
|Citation:||Complex Analysis of Human Movements based on the Identification of Amplitude-Time Characteristics of Electromyographic Patterns / Davydova N. S. [and others] // Global Journal of Researches in Engineering: F Electrical and Electronics Engineering. – 2019. – Vol. 19, Is. 5. – P. 15 – 26.|
|Abstract:||The task of a complex biomechanical and electrophysiological analysis of human movements is actual for medicine, sports and special work. The article describes an algorithm for creation of electromyographic patterns of human movements. The method of complex estimation of human movements based on the identification of the amplitude-time characteristics of electromyographic patterns is presented. Research of the electromyographic pattern of the test movement "jump up"is described. The classification of motion skills types by the energy contribution of muscles during the movement and by the distribution of muscle efforts in the movement phases is detected. The research of the energy contribution of the muscles during the test motion allowed to identify three types of motion skills: 1) the muscles m . g astrocnemius lateralis and m . s oleus mainly provide test motion (40.48% of all subjects); the muscles m. re ctus femoris, m. gastrocnemius lateralis and m. s oleus are equal in the degree of involvement in the process of motion (50% of all subjects); the muscle m. re ctus femoris dominates in the process of the motion (9.52% of all subjects).The research of the distribution of muscle efforts in the phases of the test motion allowed to identify three types of motion skills: the maximum muscle effort is performed in the push phase (54,76% of all subjects); the maximum muscle effort is performed in the squatting phase (14,29% of all subjects); the muscle efforts are equally distributed between squatting and push phases (30,95% of all subjects).The research results demonstrate the effectiveness of the proposed complex analysis of human movements.|
|Appears in Collections:||Публикации в зарубежных изданиях|
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