Real-time muscle fatigue monitoring based on median frequency of electromyography signal-Reference-Cited by-同舟云学术

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Real-time muscle fatigue monitoring based on median frequency of electromyography signal

Published:2017-08 Issue: Volume: Page:
ISSN:
Container-title:2017 5th International Conference on Instrumentation, Control, and Automation (ICA)
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Author:

Ma'as Moehammad Dzaky Fauzan,Masitoh ,Azmi Ahmad Zahi Ulul,Suprijanto

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8062932/8068394/08068428.pdf?arnumber=8068428

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Reliability and Convergent Validity of Endurance Indices Derived from Near-Infrared Spectroscopy and Electromyography during a Bilateral Hanging Task in Amateur Rock Climbers;Journal of Functional Morphology and Kinesiology;2024-09-10

2. Imperceptible liquid metal based tattoo for Human-Machine interface on hairy skin;Chemical Engineering Journal;2024-06

3. Effect of physical activity education on shoulder girdle pain and muscle strength in participants with fibromyalgia: a pilot experimental study;Frontiers in Pain Research;2024-05-01

4. Study of Muscle Fatigue on the Upper Limbs by Nonlinear Coupling Analysis of HD-EMG Signals;2023 Seventh International Conference on Advances in Biomedical Engineering (ICABME);2023-10-12

5. Fatigue-Related Change in Surface Electromyographic Activities of the Perilaryngeal Muscles;Journal of Speech, Language, and Hearing Research;2023-01-12

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