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挥杆表现指数:利用三维运动学原理开发一种量化高尔夫挥杆旋转生物力学的单一评分指数。

The swing performance Index: Developing a single-score index of golf swing rotational biomechanics quantified with 3D kinematics.

作者信息

Zhou Joanne Y, Richards Alexander, Schadl Kornel, Ladd Amy, Rose Jessica

机构信息

Department of Orthopaedic Surgery, Stanford University, Stanford, CA, United States.

Motion & Gait Analysis Lab, Lucile Packard Children's Hospital, Palo Alto, CA, United States.

出版信息

Front Sports Act Living. 2022 Dec 23;4:986281. doi: 10.3389/fspor.2022.986281. eCollection 2022.

Abstract

INTRODUCTION

Golf swing generates power through coordinated rotations of the pelvis and upper torso, which are highly consistent among professionals. Currently, golf performance is graded on handicap, length-of-shot, and clubhead-speed-at-impact. No performance indices are grading the technique of pelvic and torso rotations. As an initial step toward developing a performance index, we collected kinematic metrics of swing rotational biomechanics and hypothesized that a set of these metrics could differentiate between amateur and pro players. The aim of this study was to develop a single-score index of rotational biomechanics based on metrics that are consistent among pros and could be derived in the future using inertial measurement units (IMU).

METHODS

Golf swing rotational biomechanics was analyzed using 3D kinematics on eleven professional (age 31.0 ± 5.9 years) and five amateur (age 28.4 ± 6.9 years) golfers. Nine kinematic metrics known to be consistent among professionals and could be obtained using IMUs were selected as candidate variables. Oversampling was used to account for dataset imbalances. All combinations, up to three metrics, were tested for suitability for factor analysis using Kaiser-Meyer-Olkin tests. Principal component analysis was performed, and the logarithm of Euclidean distance of principal components between golf swings and the average pro vector was used to classify pro vs. amateur golf swings employing logistic regression and leave-one-out cross-validation. The area under the receiver operating characteristic curve was used to determine the optimal set of kinematic metrics.

RESULTS

A single-score index calculated using peak pelvic rotational velocity pre-impact, pelvic rotational velocity at impact, and peak upper torso rotational velocity post-impact demonstrated strong predictive performance to differentiate pro (mean ± SD:100 ± 10) vs. amateur (mean ± SD:82 ± 4) golfers with an AUC of 0.97 and a standardized mean difference of 2.12.

DISCUSSION

In this initial analysis, an index derived from peak pelvic rotational velocity pre-impact, pelvic rotational velocity at impact, and peak upper torso rotational velocity post-impact demonstrated strong predictive performance to differentiate pro from amateur golfers. Swing Performance Index was developed using a limited sample size; future research is needed to confirm results. The Swing Performance Index aims to provide quantified feedback on swing technique to improve performance, expedite training, and prevent injuries.

摘要

引言

高尔夫挥杆动作通过骨盆和上半身的协调转动产生力量,这在职业选手中高度一致。目前,高尔夫球表现是根据差点、击球距离和击球瞬间杆头速度来分级的。没有表现指标对骨盆和躯干转动技术进行分级。作为开发表现指标的第一步,我们收集了挥杆旋转生物力学的运动学指标,并假设这些指标中的一组可以区分业余和职业球员。本研究的目的是基于职业选手之间一致且未来可通过惯性测量单元(IMU)得出的指标,开发一个旋转生物力学的单一得分指标。

方法

使用三维运动学对11名职业高尔夫球手(年龄31.0±5.9岁)和5名业余高尔夫球手(年龄28.4±6.9岁)的高尔夫挥杆旋转生物力学进行分析。选择9个已知在职业选手中一致且可通过IMU获得的运动学指标作为候选变量。采用过采样来处理数据集不平衡问题。使用凯泽 - 迈耶 - 奥尔金检验对所有组合(最多三个指标)进行因子分析适用性测试。进行主成分分析,并使用高尔夫挥杆与职业选手平均向量之间主成分的欧几里得距离的对数,通过逻辑回归和留一法交叉验证对职业与业余高尔夫挥杆进行分类。使用受试者工作特征曲线下的面积来确定运动学指标的最佳组合。

结果

使用击球前骨盆峰值旋转速度、击球瞬间骨盆旋转速度和击球后上半身峰值旋转速度计算出的单一得分指标,在区分职业(均值±标准差:100±10)和业余(均值±标准差:82±4)高尔夫球手方面表现出很强的预测性能,曲线下面积为0.97,标准化均值差为2.12。

讨论

在这项初步分析中,由击球前骨盆峰值旋转速度、击球瞬间骨盆旋转速度和击球后上半身峰值旋转速度得出的指标,在区分职业和业余高尔夫球手方面表现出很强的预测性能。挥杆表现指标是使用有限样本量开发的;未来需要进一步研究来证实结果。挥杆表现指标旨在提供关于挥杆技术的量化反馈,以提高表现、加快训练并预防受伤。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0413/9816382/54689639a007/fspor-04-986281-g001.jpg

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