Complex Analysis of Human Movements Based on the Identification of Amplitude-Time Characteristics of Electromyographic Patterns

Authors

  • Nadezhda Davydova

  • Maksim Davydov

  • Anatoly Osipov

  • Marina Mezhennaya

Keywords:

digital signal processing, amplitude-time analysis, human movements

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

How to Cite

Nadezhda Davydova, Maksim Davydov, Anatoly Osipov, & Marina Mezhennaya. (2019). Complex Analysis of Human Movements Based on the Identification of Amplitude-Time Characteristics of Electromyographic Patterns. Global Journals of Research in Engineering, 19(F5), 15–26. Retrieved from https://engineeringresearch.org/index.php/GJRE/article/view/1986

Complex Analysis of Human Movements Based on the Identification of Amplitude-Time Characteristics of Electromyographic Patterns

Published

2019-03-15