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评估在棒球投球过程中估计肩胛骨运动学的方法。

Evaluation of approaches to estimate scapular kinematics during baseball pitching.

机构信息

School of Behavioral Sciences and Education, Pennsylvania State University Harrisburg, Middletown, PA, USA.

Department of Orthopaedic Surgery, Wake Forest School of Medicine, Winston-Salem, NC, USA.

出版信息

J Sports Sci. 2022 Sep;40(18):2062-2071. doi: 10.1080/02640414.2022.2133391. Epub 2022 Oct 13.

DOI:10.1080/02640414.2022.2133391
PMID:36227908
Abstract

Biomechanical analyses of pitching possess limitations in accurately measuring dynamic scapular orientation and are thus unable to distinguish between glenohumeral and scapulothoracic contributions to global shoulder motion. In lieu of direct measurement, several methods to estimate scapular kinematics have been developed. This study evaluated the ability of the linear model and the double calibration acromion marker cluster (D-AMC) approaches to estimate scapular kinematics throughout a full-speed pitching motion. Each approach's estimates were compared against scapulothoracic range of motion limits established in a non-pitching biplane fluoroscopy study involving various functional arm movements that approximate physiological limits of scapular motion. Fourteen healthy collegiate pitchers participated. Motion capture measured upper extremity joint kinematics during full-speed fastball pitches. Linear model and D-AMC approaches estimated scapulothoracic kinematics during each pitch. Linear model estimates of scapulothoracic kinematics were largely within established physiological limits on each scapular axis of motion while D-AMC estimates exceeded fluoroscopy-established bounds for more subjects and by larger, less physiologically plausible amounts. These findings demonstrate that the linear model outperforms the D-AMC and suggest that it is a viable approach to estimate scapular kinematics during pitching. Finally, these results offer additional evidence to support the accepted pattern of scapular kinematics during pitching.

摘要

投球的生物力学分析在准确测量动态肩胛骨方向方面存在局限性,因此无法区分盂肱关节和肩胛胸关节对肩部整体运动的贡献。在无法直接测量的情况下,已经开发出几种估计肩胛骨运动学的方法。本研究评估了线性模型和双校准肩峰标记集群 (D-AMC) 方法在全速投球运动中估计肩胛骨运动学的能力。将每种方法的估计值与在涉及各种接近肩胛骨运动生理极限的功能性手臂运动的非投球双平面荧光透视研究中建立的肩胛胸运动范围极限进行比较。十四名健康的大学生投手参与了研究。运动捕捉在全速快球投球过程中测量上肢关节运动学。线性模型和 D-AMC 方法在每次投球时估计肩胛胸运动学。线性模型对肩胛骨运动学的估计在每个肩胛骨运动轴上基本都在既定的生理极限内,而 D-AMC 估计在更多受试者和更大、不太符合生理的范围内超过了荧光透视建立的范围。这些发现表明,线性模型优于 D-AMC,并表明它是一种在投球过程中估计肩胛骨运动学的可行方法。最后,这些结果提供了更多证据支持投球过程中肩胛骨运动学的公认模式。

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