Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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44Q70
Nadezhda Davydova
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.
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): .
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
The methods for personal identification and authentication are no exception.
Total Score: 124
Country: Belarus
Subject: Global Journal of Research in Engineering - F: Electrical & Electronic
Authors: Nadezhda Davydova, Maksim Davydov, Anatoly Osipov, Marina Mezhennaya (PhD/Dr. count: 0)
View Count (all-time): 199
Total Views (Real + Logic): 2676
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Publish Date: 2019 11, Thu
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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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