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All Journal International Journal of Reconfigurable and Embedded Systems (IJRES)
Muhammad Agung Nursyeha
Institut Teknologi Kalimantan
Economics, Econometrics & Finance

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Gym training muscle fatigue monitoring using EMG myoware and arduino with envelope and sliding window methods Sena Sukmananda Suprapto; Vicky Andria Kusuma; Mifta Nur Farid; Muhammad Agung Nursyeha; Kharis Sugiarto; Aji Akbar Firdaus; Dimas Fajar Uman Putra
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 12, No 3: November 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v12.i3.pp345-350

Abstract

Muscles are an important organ in the movement of the body's skeleton to carry out sports activities. Measurement of muscle activity during the exercise process can be done using electromyography (EMG). This research uses Myoware muscle sensor (AT-04-001) which is integrated with Arduino Uno and Xbee to monitor biceps brachii muscle fatigue wirelessly. Fatigue data processing is carried out objectively using the envelope and sliding window method and subjectively verbally from the respondents. From this study, it was found that muscle fatigue can be measured using the method objectively when there is an increase in EMG amplitude with a window size of 5 s. The indication of biceps brachii muscle fatigue for the right arm is stronger to withstand the load during exercise with the average duration of the measurement of the right arm is 41.87 s from 69.67 s; 53.53 s from 98.90 s and 76.87 s from 98.80 s with the ratio of the left arm tending to fatigue more quickly is 23.53 s from 42.13 s; 41.87 s from 51.60 s and 23.53 s from 44.73 s.
Co-Authors Dimas Fajar Uman Putra Firdaus, Aji Akbar Kharis Sugiarto Mifta Nur Farid Suprapto, Sena Sukmananda Vicky Andria Kusuma