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

1
Nadezhda Davydova
Nadezhda Davydova
2
Maksim Davydov
Maksim Davydov
3
Anatoly Osipov
Anatoly Osipov
4
Marina Mezhennaya
Marina Mezhennaya
1 Belarusian State University of Informatics and Radioelectronics

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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.

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No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

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Not applicable for this article.

Nadezhda Davydova. 2019. \u201cComplex Analysis of Human Movements Based on the Identification of Amplitude-Time Characteristics of Electromyographic Patterns\u201d. Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 19 (GJRE Volume 19 Issue F5): .

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Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

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GJRE-F Classification: FOR Code: 290901p
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v1.2

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November 14, 2019

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English

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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.

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

Nadezhda Davydova
Nadezhda Davydova Belarusian State University of Informatics and Radioelectronics
Maksim Davydov
Maksim Davydov
Anatoly Osipov
Anatoly Osipov
Marina Mezhennaya
Marina Mezhennaya

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