Estimating Continuous Muscle Fatigue For Multi-Muscle Coordinated Exercise: A Pilot Study

• URL: http://arxiv.org/abs/2303.17614v1
• Date: Thu, 30 Mar 2023 02:54:59 GMT
• Title: Estimating Continuous Muscle Fatigue For Multi-Muscle Coordinated Exercise: A Pilot Study
• Authors: Chunzhi Yi, Baichun Wei, Wei Jin, Jianfei Zhu, Seungmin Rho, Zhiyuan Chen and Feng Jiang
• Abstract summary: assessing fatigue of multi-muscle coordination-temporal daily exercises requires neuromuscular features that represent the fatigue-induced characteristics of adaptations of multiple muscles. We propose to depict fatigue by features of muscle compensation and spinal module activation changes and estimate continuous fatigue by a physiological rationale model.
• Score: 15.431134370031877
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Assessing the progression of muscle fatigue for daily exercises provides vital indicators for precise rehabilitation, personalized training dose, especially under the context of Metaverse. Assessing fatigue of multi-muscle coordination-involved daily exercises requires the neuromuscular features that represent the fatigue-induced characteristics of spatiotemporal adaptions of multiple muscles and the estimator that captures the time-evolving progression of fatigue. In this paper, we propose to depict fatigue by the features of muscle compensation and spinal module activation changes and estimate continuous fatigue by a physiological rationale model. First, we extract muscle synergy fractionation and the variance of spinal module spikings as features inspired by the prior of fatigue-induced neuromuscular adaptations. Second, we treat the features as observations and develop a Bayesian Gaussian process to capture the time-evolving progression. Third, we solve the issue of lacking supervision information by mathematically formulating the time-evolving characteristics of fatigue as the loss function. Finally, we adapt the metrics that follow the physiological principles of fatigue to quantitatively evaluate the performance. Our extensive experiments present a 0.99 similarity between days, a over 0.7 similarity with other views of fatigue and a nearly 1 weak monotonicity, which outperform other methods. This study would aim the objective assessment of muscle fatigue.

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