Aix-Marseille University, CNRS, ISM, Marseille, France.
Human Factors & Ergonomics Department, Decathlon SportsLab Research and Development, Lille, France.
Scand J Med Sci Sports. 2023 Oct;33(10):1958-1975. doi: 10.1111/sms.14434. Epub 2023 Jun 21.
Lateral epicondylitis, also known as tennis elbow, is a major health issue among tennis players. This musculo-skeletal disorder affects hand extensor tendons, results in substantial pain and impairments for sporting and everyday activities and requires several weeks of recovery. Unfortunately, prevention remains limited by the lack of data regarding biomechanical risk factors, especially because in vivo evaluation of hand tendon forces remains challenging. Electromyography-informed musculo-skeletal modeling is a noninvasive approach to provide physiological estimation of tendon forces based on motion capture and electromyography but was never applied to study hand tendon loading during tennis playing. The objective of this study was to develop such electromyography-informed musculo-skeletal model to provide new insight into hand tendon loading in tennis players. The model was tested with three-dimensional kinematics and electromyography data of two players performing forehand drives at two-shot speeds and with three rackets. Muscle forces increased with shot speed but were moderately affected by racket properties. Wrist prime extensors withstood the highest forces, but their relative implication compared to flexors depended on the player-specific grip force and racket motion strategy. When normalizing wrist extensor forces by shot speed and grip strength, up to threefold differences were observed between players, suggesting that gesture technique, for example, grip position or joint motion coordination, could play a role in the overloading of wrist extensor tendons. This study provided a new methodology for in situ analysis of hand biomechanical loadings during tennis gesture and shed a new light on lateral epicondylitis risk factors.
外侧上髁炎,也称网球肘,是网球运动员常见的健康问题。这种肌肉骨骼疾病会影响手部伸肌腱,导致运动员和日常活动中出现严重疼痛和功能障碍,需要数周时间恢复。不幸的是,由于缺乏有关生物力学风险因素的数据,预防措施仍然有限,特别是因为对手部肌腱力的体内评估仍然具有挑战性。肌电图引导的肌肉骨骼建模是一种非侵入性方法,可以根据运动捕捉和肌电图提供肌腱力的生理估计,但从未应用于研究网球运动中手部肌腱的加载情况。本研究的目的是开发这种肌电图引导的肌肉骨骼模型,以深入了解网球运动员手部肌腱的受力情况。该模型通过两名运动员在两种击球速度下进行正手击球的三维运动学和肌电图数据进行了测试,共使用了三种球拍。肌肉力量随击球速度的增加而增加,但受球拍特性的影响适中。腕部主要伸肌承受的力最大,但它们与屈肌的相对作用取决于特定于运动员的握力和球拍运动策略。当根据击球速度和握力对腕部伸肌力量进行归一化时,运动员之间的差异高达三倍,这表明姿势技术,例如握拍位置或关节运动协调,可能在腕部伸肌肌腱过载中起作用。本研究提供了一种新的方法,用于分析网球运动中手部的生物力学负荷情况,并为外侧上髁炎的风险因素提供了新的认识。