棒球投球中数据规范化的使用和可接受性。

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Kevin A Giordano, Adam J Barrack, William M Murrah, Andrew R Karduna, Lori A Michener, Kyle W Wasserberger
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引用次数: 0

摘要

在棒球投球生物力学中,动能值通常通过除以质量或质量*身高进行比率 "归一化",以便在不同体型的运动员之间进行比较。然而,创建标准化比率变量应满足某些统计假设。我们的目的是通过使用回归模型比较归一化扭矩值和未归一化扭矩值,确定投球速度预测的肘外翻扭矩是否会受到归一化的影响。我们对青少年到职业投手(n = 1988)的运动捕捉数据进行了回顾性分析。通过将线性回归模型与截距固定为零的类似模型进行比较,并通过检查混杂变量与新的归一化变量之间的剩余相关性,对归一化假设进行了测试。两个质量(p
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Usage and acceptability of data normalization in baseball pitching.

In baseball pitching biomechanics, kinetic values are commonly ratio 'normalised' by dividing by mass or mass*height to allow for comparison between athletes of different sizes. However, creating a normalised ratio variable should meet certain statistical assumptions. Our purpose was to determine if elbow valgus torque predicted by pitching velocity is influenced by normalisation using regression model comparison with and without normalised torque values. Motion capture data for youth to professional pitchers (n = 1988) were retrospectively analysed. Normalisation assumptions were tested by comparing linear regression models to analogous models with an intercept fixed at zero and by examining remaining correlations between the confounding variable and new, normalised variable. Both mass (p < 0.001) and mass*height (p < 0.001) normalisation did not remove their respective relationship with torque. After accounting for mass or mass and height, velocity predicted 10% of variance in elbow valgus torque, whereas velocity predicted 59% of mass normalised torque and 45% of mass*height normalised torque. Ratio normalisation does not fully account for anthropometric variables that differ across pitchers and leads to different conclusions in the magnitude of velocity's predictive effect on elbow valgus torque. Therefore, we recommend using regression model comparison to account for anthropometric variables in baseball pitching kinetic data.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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