背部肌肉疲劳对手动举重任务中基于肌电图和运动学的下背部负荷和活动力矩估计的影响

IF 2 4区 医学 Q3 NEUROSCIENCES
A. Tabasi , N.P. Brouwer , I. Kingma , W. van Dijk , M.P. de Looze , A. Moya-Esteban , H. v. d. Kooij , J.H. van Dieën
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引用次数: 1

摘要

本研究使用基于EMG和运动学的模型,用未缓解状态的数据校准,研究了背部肌肉疲劳对举重过程中下背部负荷和活动下背部力矩估计的影响。14名参与者在不紧张和疲劳的状态下完成了举重任务。疲劳是通过半静态正向弯曲引起的。测量肌电图、运动学和地面反作用力,并使用逆动力学和肌电图驱动的肌肉模型估计下背部负荷。使用一组校准升降机的数据开发了一个回归模型,并对未磨损和疲劳升降机的精度进行了评估。在疲劳诱导任务期间,EMG幅度增加了2.8%MVC,相对于初始值增加了38%。然而,在疲劳提拉过程中,发现峰值肌电振幅比未提拉过程中观察到的高1.6%MVC,相对于基线未提拉峰值肌电振幅仅增加4%。运动学和低背负荷估计未受影响。对于5 kg的举重,回归模型估计误差不受影响,但对于15 kg的举重来说,其增加幅度不超过峰值活动下背部力矩的5%。我们得出的结论是,在肌肉疲劳期间,活动下背部力矩的基于回归的估计质量可以保持,尽管对于较重的负荷,误差可能会略有增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The effect of back muscle fatigue on EMG and kinematics based estimation of low-back loads and active moments during manual lifting tasks

This study investigated the effects of back muscle fatigue on the estimation of low-back loads and active low-back moments during lifting, using an EMG and kinematics based model calibrated with data from an unfatigued state. Fourteen participants performed lifting tasks in unfatigued and fatigued states. Fatigue was induced through semi-static forward bending. EMG, kinematics, and ground reaction forces were measured, and low-back loads were estimated using inverse dynamics and EMG-driven muscle model. A regression model was developed using data from a set of calibration lifts, and its accuracy was evaluated for unfatigued and fatigued lifts. During the fatigue-inducing task, the EMG amplitude increased by 2.8 %MVC, representing a 38% increase relative to the initial value. However, during the fatigued lifts, the peak EMG amplitude was found to be 1.6 %MVC higher than that observed during the unfatigued lifts, representing a mere 4% increase relative to the baseline unfatigued peak EMG amplitude. Kinematics and low-back load estimates remained unaffected. Regression model estimation errors remained unaffected for 5 kg lifts, but increased by no more than 5% of the peak active low-back moment for 15 kg lifts. We conclude that the regression-based estimation quality of active low-back moments can be maintained during periods of muscle fatigue, although errors may slightly increase for heavier loads.

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来源期刊
CiteScore
4.70
自引率
8.00%
发文量
70
审稿时长
74 days
期刊介绍: Journal of Electromyography & Kinesiology is the primary source for outstanding original articles on the study of human movement from muscle contraction via its motor units and sensory system to integrated motion through mechanical and electrical detection techniques. As the official publication of the International Society of Electrophysiology and Kinesiology, the journal is dedicated to publishing the best work in all areas of electromyography and kinesiology, including: control of movement, muscle fatigue, muscle and nerve properties, joint biomechanics and electrical stimulation. Applications in rehabilitation, sports & exercise, motion analysis, ergonomics, alternative & complimentary medicine, measures of human performance and technical articles on electromyographic signal processing are welcome.
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