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网球拍振动传递至人体前臂。

Transfer of tennis racket vibrations onto the human forearm.

作者信息

Hennig E M, Rosenbaum D, Milani T L

机构信息

Biomechanics Laboratory, University of Essen, Federal Republic of Germany.

出版信息

Med Sci Sports Exerc. 1992 Oct;24(10):1134-40.

PMID:1435161
Abstract

One of several factors suspected in the development of lateral epicondylitis, often referred to as tennis elbow, is the impact-induced vibration of the racket-and-arm system at ball contact. Using two miniature accelerometers at the wrist and the elbow of 24 tennis players, the effects of 23 different tennis racket constructions were evaluated in a simulated backhand stroke situation. The influences of body weight, skill level, and tennis racket construction onto the magnitude of vibrations at wrist and elbow were investigated. Amplitudes, integrals, and fourier components were used to characterize arm vibration. More than fourfold reductions in acceleration amplitude and integral were found between wrist and elbow. Off-center as compared with center ball impacts resulted in approximately three times increased acceleration values. Between subjects, body weight as well as skill level were found to influence arm vibration. Compared with proficient players, a group of less skilled subjects demonstrated increased vibration loads on the arm. Between different racket constructions, almost threefold differences in acceleration values could be observed. Increased racket head size as well as a higher resonance frequency of the racket were found to reduce arm vibration. The vibration at the arm after ball impact showed a strong inverse relationship (r = -0.88) with the resonance frequency of tennis rackets.

摘要

在外侧上髁炎(常被称为网球肘)发病过程中被怀疑的几个因素之一,是击球瞬间球拍与手臂系统的撞击引起的振动。在24名网球运动员的手腕和肘部使用两个微型加速度计,在模拟反手击球情况下评估了23种不同网球拍结构的影响。研究了体重、技术水平和网球拍结构对腕部和肘部振动幅度的影响。使用振幅、积分和傅里叶分量来表征手臂振动。发现手腕和肘部之间的加速度振幅和积分降低了四倍多。与球心撞击相比,偏离球心的撞击导致加速度值增加约三倍。在受试者之间,发现体重和技术水平会影响手臂振动。与熟练球员相比,一组技术不太熟练的受试者手臂上的振动负荷增加。在不同的球拍结构之间,可以观察到加速度值几乎有三倍的差异。发现增大球拍头部尺寸以及提高球拍的共振频率可减少手臂振动。球撞击后手臂的振动与网球拍的共振频率呈强烈的负相关(r = -0.88)。

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