Integration of strain gauge sensor in biceps muscle movement detection using LabView
Abstract
Muscle injuries caused by sports can have a serious impact on sportsmen, to avoid injuries during sports can be prevented by detecting the wrong movement using a strain gauge sensor attached to the muscle which in this study is devoted to the biceps muscle. The strain gauge will detect muscle movement, and the output generated at the strain gauge will be converted into the form of voltage and current which will be used to be processed using machine learning to get data patterns so that they can be grouped into data patterns of wrong movements and correct movements. The strain gauge movement pattern here is simulated using LabView by using a gauge resistance of 120 Ω, strain configuration Quarter Bridge 1, gauge factor 2.05, Vex is the excitation voltage given to the Wheatstone bridge is 5 V and the initial voltage -180.08 µV, the strain gauge output pattern is obtained in the form of Excel and with this data can be converted into voltage and current.
Keywords
Bicep Muscle; LabView; Machine learning; Muscle injuries; Strain gauge sensor
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PDFDOI: http://doi.org/10.11591/ijece.v15i4.pp3696-3706
Copyright (c) 2025 Desy Kristyawati, Busono Soerowirdjo, Erma Triawati Christina, Robby Kurniawan Harahap
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International Journal of Electrical and Computer Engineering (IJECE)
p-ISSN 2088-8708, e-ISSN 2722-2578
This journal is published by the Institute of Advanced Engineering and Science (IAES).