The sensible EMG pattern recognition (EMG-PR) method is used for structural community evaluation, including the detection and type of signals from electromyography (EMG) statistics. EMG is a method that measures electric hobby generated with the aid of muscle tissues for the duration of contraction and relaxation, making it a valuable tool for reading the practical status of the neuromuscular system. In recent years, there has been a growing interest in using EMG-PR for structural network evaluation in various fields of rehabilitation, sports activities, science, and human-laptop interplay. One of the primary targets of structural community analysis is to perceive styles or connections within a community, which could offer insights into the underlying neuromuscular control strategies. Historically, this has been achieved through visible inspection and guide evaluation of EMG signals, which may be time-ingesting and liable to subjectivity. The shrewd EMG-PR technique gives a more efficient and correct opportunity by automatically classifying EMG indicators into unique styles primarily based on state-of-the-art algorithms. The method of EMG-PR for structural community evaluation involves several levels, consisting of sign preprocessing, characteristic extraction, category, and community analysis.
P. Senthilkumar, E. Sathish
Erode Sengunthar Engineering College, India
Pattern, Comprehensive, Structural, Electrical, Analysis, Extraction
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| Published By :
ICTACT
Published In :
ICTACT Journal on Data Science and Machine Learning
( Volume: 4 , Issue: 4 , Pages: 498 - 504 )
Date of Publication :
September 2023
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