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

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

Nadezhda Davydova

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Maksim Davydov

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Anatoly Osipov

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Marina Mezhennaya

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Belarusian State University of Informatics and Radioelectronics

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

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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.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

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Not applicable for this article.

How to Cite 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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GJRE Volume 19 Issue F5

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

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GJRE-F Classification FOR Code: 290901p

Submission ReceivedDecember 7, 2018
Peer Review Double Blind
Handling Editor
Accepted January 5, 2019
Published January 15, 2019

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v1.2

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November 14, 2019

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