{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T12:30:57Z","timestamp":1790857857591,"version":"4.1.0"},"reference-count":18,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2012,1,5]],"date-time":"2012-01-05T00:00:00Z","timestamp":1325721600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Surface electromyography (sEMG) is an important measurement for monitoring exercise and fitness. Because if its high sampling frequency requirement, wireless transmission of sEMG data is a challenge. In this article a wireless sEMG measurement system with a sampling frequency of 2 KHz is developed based upon a MSP 430 microcontroller and Bluetooth transmission. Standard isotonic and isometric muscle contraction are clearly represented in the receiving user interface. Muscle fatigue detection is an important application of sEMG. Traditional muscle fatigue is detected from the median frequency of the sEMG power spectrum. The regression slope of the linear regression of median frequency is an important muscle fatigue index. A more negative slope value represents a higher muscle fatigue condition. To test the system performance, muscle fatigue detection was examined by having subjects run on a pedaled-multifunctional elliptical trainer for approximately 30 minutes at three loading levels. Ten subjects underwent a total of 60 exercise sessions to provide the experimental data. Results showed that the regression slope gradually decreases as expected, and there is a significant gender difference.<\/jats:p>","DOI":"10.3390\/s120100489","type":"journal-article","created":{"date-parts":[[2012,1,6]],"date-time":"2012-01-06T04:04:03Z","timestamp":1325822643000},"page":"489-499","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":77,"title":["A Wireless sEMG Recording System and Its Application to Muscle Fatigue Detection"],"prefix":"10.3390","volume":"12","author":[{"given":"Kang-Ming","family":"Chang","sequence":"first","affiliation":[{"name":"Department of Photonics and Communication Engineering, Asia University, Taichung 41349, Taiwan"},{"name":"Graduate Institute of Clinical Medical Science, China Medical University, Taichung 41349, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shin-Hong","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Information Engineering, Chaoyang University of Technology, Taichung 41349, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuan-Han","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Information Engineering, Chaoyang University of Technology, Taichung 41349, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2012,1,5]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"593","DOI":"10.1089\/tmj.2007.0098","article-title":"SMS Application Using EMG Signal of Clenching Teeth for e-Health Communication","volume":"14","author":"Lee","year":"2008","journal-title":"Telemed. 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