A Study of Racket Weight Adaptation in Advanced and Beginner Badminton Players

IF 1.8 4区 计算机科学 Q3 ENGINEERING, BIOMEDICAL Applied Bionics and Biomechanics Pub Date : 2024-01-25 DOI:10.1155/2024/8908294
Zhengye Pan, Lushuai Liu, Xingman Li, Yunchao Ma
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Abstract

The jump smash is the most aggressive manoeuvre in badminton. Racket parameters may be the key factor affecting the performance of jump smash. Previous studies have focused only on the biomechanical characteristics of athletes or on racket parameters in isolation, with less observation of the overall performance of the human-racket system. This study aims to explore the effects of different racket weights on neuromuscular control strategies in advanced and beginner players. Nonnegative matrix factorisation (NMF) was used to extract the muscle synergies of players when jumping smash using different rackets (3U, 5U), and K-means clustering was used to obtain the fundamental synergies. Uncontrolled manifold (UCM) analyses were used to establish links between synergy and motor performance, and surface electromyography (sEMG) was mapped to each spinal cord segment. The study found significant differences () in the postural muscles of skilled players and significant differences () in the upper-limb muscles of beginners when the racket weight was increased. Advanced players adapt to the increase in racket weight primarily by adjusting the timing of the activation of the third synergy. Combined synergy in advanced players is mainly focused on the backswing, while that in beginners is mainly focused on the frontswing. This suggests that advanced players may be more adept at utilising the postural muscles and their coordination with the upper-limb muscles to adapt to different rackets. In addition, the motor experience can help athletes adapt more quickly to heavier rackets, and this adaptation occurs primarily by adjusting the temporal phase and covariation characteristics of the synergies rather than by increasing the number of synergies.
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羽毛球高级和初级运动员对球拍重量适应性的研究
跳砸是羽毛球运动中最具攻击性的动作。球拍参数可能是影响跳砸表现的关键因素。以往的研究仅关注运动员的生物力学特征或球拍参数,而较少观察人-球拍系统的整体性能。本研究旨在探索不同球拍重量对高级和初级运动员神经肌肉控制策略的影响。研究使用非负矩阵因式分解(NMF)来提取运动员使用不同球拍(3U、5U)进行跳砸时的肌肉协同作用,并使用 K-means 聚类来获得基本协同作用。利用非控制流形(UCM)分析建立协同作用与运动表现之间的联系,并将表面肌电图(sEMG)映射到每个脊髓节段。研究发现,当球拍重量增加时,熟练运动员的姿势肌肉和初学者的上肢肌肉存在明显差异()。高级运动员主要通过调整第三协同作用的激活时间来适应球拍重量的增加。高级运动员的联合协同作用主要集中在后挥杆,而初学者的联合协同作用主要集中在前挥杆。这表明,高级运动员可能更善于利用姿势肌肉及其与上肢肌肉的协调来适应不同的球拍。此外,运动经验可以帮助运动员更快地适应更重的球拍,而这种适应主要是通过调整协同作用的时间相位和协变特性来实现的,而不是通过增加协同作用的数量。
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来源期刊
Applied Bionics and Biomechanics
Applied Bionics and Biomechanics ENGINEERING, BIOMEDICAL-ROBOTICS
自引率
4.50%
发文量
338
审稿时长
>12 weeks
期刊介绍: Applied Bionics and Biomechanics publishes papers that seek to understand the mechanics of biological systems, or that use the functions of living organisms as inspiration for the design new devices. Such systems may be used as artificial replacements, or aids, for their original biological purpose, or be used in a different setting altogether.
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