Abstract：
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.
摘要：
骨骼肌力量运动。推导由个体肌肉产生的力在各个领域都有应用，包括生物力学，机器人,和康复。由于人体肌肉力的直接体内测量是侵入性和挑战性的，通过肌电图（EMG）等非侵入性方法进行评估具有相当大的吸引力。这个矩阵，由肌电图实验设计共识（CEDE）项目开发，总结了使用肌电图估计肌肉力量的建议。基质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），以确定在等距收缩过程中肌肉力量的发作，(2)识别等轴收缩过程中肌肉力量的偏移，(3)识别等距收缩过程中的力波动，(4)在动态收缩期间估计力，和（5）结合肌肉骨骼模型来估计动态收缩过程中的力。对于每个应用程序，提供了关于使用EMG估计力的适当性的建议以及每个建议的理由。达成的共识清楚地表明，可以使用EMG来准确估计肌肉力量的情况有限。在大多数情况下,考虑激活以及肌肉状态和其他生物力学和生理因素仍然很重要-例如在正式机械模型的背景下。该矩阵旨在鼓励有关EMG与其他实验技术整合的跨学科讨论，并促进EMG应用于开发肌肉模型和肌肉骨骼模拟的进展，这些模型和模拟可以准确预测健康和临床人群的肌肉力量。
