肌电图实验设计共识(CEDE)项目:应用肌电图估算肌肉力量

IF 2 4区 医学 Q3 NEUROSCIENCES
Taylor J. M. Dick , Kylie Tucker , François Hug , Manuela Besomi , Jaap H. van Dieën , Roger M. Enoka , Thor Besier , Richard G. Carson , Edward A. Clancy , Catherine Disselhorst-Klug , Deborah Falla , Dario Farina , Simon Gandevia , Aleš Holobar , Matthew C. Kiernan , Madeleine Lowery , Kevin McGill , Roberto Merletti , Eric Perreault , John C. Rothwell , Paul W. Hodges
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引用次数: 0

摘要

骨骼肌为运动提供动力。推导单块肌肉产生的力可应用于生物力学、机器人学和康复等多个领域。由于对人体肌肉力量的直接活体测量具有侵入性和挑战性,因此通过肌电图(EMG)等非侵入性方法估算肌肉力量具有相当大的吸引力。本矩阵由肌电图实验设计共识(CEDE)项目开发,总结了使用 EMG 估算肌力的建议。该矩阵包括使用双极表面肌电图、高密度表面肌电图和肌内肌电图(1)确定等长收缩时肌肉力量的开始,(2)确定等长收缩时肌肉力量的偏移,(3)确定等长收缩时力量的波动,(4)估算动态收缩时的力量,以及(5)结合肌肉骨骼模型估算动态收缩时的力量。对于每种应用,都提供了使用肌电图估算力的适当性建议以及每项建议的理由。已达成的共识表明,在有限的情况下,EMG 可用于准确估算肌肉力量。在大多数情况下,仍需考虑激活、肌肉状态和其他生物力学和生理学因素,如在正式机械模型的背景下。本矩阵旨在鼓励就 EMG 与其他实验技术的整合进行跨学科讨论,并促进 EMG 在开发肌肉模型和肌肉骨骼模拟方面的应用,从而准确预测健康和临床人群的肌肉力量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Consensus for experimental design in electromyography (CEDE) project: Application of EMG to estimate muscle force
Skeletal muscles power movement. Deriving the forces produced by individual muscles has applications across various fields including biomechanics, robotics, and rehabilitation. Since direct in vivo measurement of muscle force in humans is invasive and challenging, its estimation through non-invasive methods such as electromyography (EMG) holds considerable appeal. This matrix, developed by the Consensus for Experimental Design in Electromyography (CEDE) project, summarizes recommendations on the use of EMG to estimate muscle force. The matrix encompasses the use of bipolar surface EMG, high density surface EMG, and intra-muscular EMG (1) to identify the onset of muscle force during isometric contractions, (2) to identify the offset of muscle force during isometric contractions, (3) to identify force fluctuations during isometric contractions, (4) to estimate force during dynamic contractions, and (5) in combination with musculoskeletal models to estimate force during dynamic contractions. For each application, recommendations on the appropriateness of using EMG to estimate force and justification for each recommendation are provided. The achieved consensus makes clear that there are limited scenarios in which EMG can be used to accurately estimate muscle forces. In most cases, it remains important to consider the activation as well as the muscle state and other biomechanical and physiological factors— such as in the context of a formal mechanical model. This matrix is intended to encourage interdisciplinary discussions regarding the integration of EMG with other experimental techniques and to promote advances in the application of EMG towards developing muscle models and musculoskeletal simulations that can accurately predict muscle forces in healthy and clinical populations.
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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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