Trasolini Nicholas A, Nicholson Kristen F, Mylott Joseph, Bullock Garrett S, Hulburt Tessa C, Waterman Brian R
Department of Orthopaedic Surgery, Wake Forest School of Medicine, Winston-Salem, North Carolina, U.S.A.
Arthrosc Sports Med Rehabil. 2022 Jan 28;4(1):e83-e91. doi: 10.1016/j.asmr.2021.09.027. eCollection 2022 Jan.
Throwing sports remain a popular pastime and frequent source of musculoskeletal injuries, particularly those involving the shoulder and elbow. Biomechanical analyses of throwing athletes have identified pathomechanic factors that predispose throwers to injury or poor performance. These factors, or key performance indicators, are an ongoing topic of research, with the goals of improved injury prediction, prevention, and rehabilitation. Important key performance indicators in the literature to date include shoulder and elbow torque, shoulder rotation, kinetic chain function (as measured by trunk rotation timing and hip-shoulder separation), and lower-extremity mechanics (including stride characteristics). The current gold standard for biomechanical analysis of the throwing athlete involves marker-based 3-dimensional) video motion capture. Emerging technologies such as marker-less motion capture, wearable technology, and machine learning have the potential to further refine our understanding. This review will discuss the biomechanics of throwing, with particular attention to baseball pitching, while also delineating methods of modern throwing analysis, implications for clinical orthopaedic practice, and future areas of research interest.
V, expert opinion.
投掷类运动仍然是一种受欢迎的消遣方式,也是肌肉骨骼损伤的常见来源,尤其是涉及肩部和肘部的损伤。对投掷运动员的生物力学分析已经确定了一些病理力学因素,这些因素使投掷者易受伤或表现不佳。这些因素,即关键性能指标,是一个持续的研究课题,目标是改进损伤预测、预防和康复。迄今为止,文献中重要的关键性能指标包括肩部和肘部扭矩、肩部旋转、动力链功能(通过躯干旋转时间和髋部 - 肩部分离来衡量)以及下肢力学(包括步幅特征)。目前对投掷运动员进行生物力学分析的金标准是基于标记的三维视频运动捕捉。无标记运动捕捉、可穿戴技术和机器学习等新兴技术有可能进一步完善我们的理解。本综述将讨论投掷的生物力学,特别关注棒球投球,同时还将阐述现代投掷分析方法、对临床骨科实践的影响以及未来研究感兴趣的领域。
V,专家意见。