An electromyography-based multi-muscle fatigue model to investigate operational task performance

Wei, L.; Chowdhury, S.

doi:10.1101/2023.11.15.567264

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bioRxiv · 10.1101/2023.11.15.567264

An electromyography-based multi-muscle fatigue model to investigate operational task performance

Wei, L.·Chowdhury, S.

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Abstract

We developed a multi-muscle fatigue model (MMFM) by incorporating electromyography (EMG)-based amplitude and frequency parameters, the fast-to-slow twitch muscle fiber ratio, a time multiplier to linearize the cumulative effect of time, and a muscle multiplier to standardize the combined effect of the number of muscles being considered. We validated the model by investigating fatigue development patterns of ten male subjects performing one sustained-till-exhaustion static and two repetitive dynamic tasks (low and high task difficulty levels) using 0.91 Kg and 2.72 Kg dumbbells. The results indicated that the MMFM was sensitive to fatigue-related neuromuscular changes and predicted shoulder joint fatigue accurately.

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Wei, L., Chowdhury, S.. 2023-11-17. An electromyography-based multi-muscle fatigue model to investigate operational task performance. https://doi.org/10.1101/2023.11.15.567264

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