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疲劳对手倒立平衡有何影响?一种非线性方法研究疲劳对手倒立表现的影响。

How does fatigue affect handstand balance? a non-linear approach to study fatigue influence in handstand performance.

机构信息

Sport Sciences Department, Miguel Hernández University. Building CID, Av. de la Universidad s/n, 03202, Elche, Alicante, Spain.

出版信息

J Neuroeng Rehabil. 2024 Sep 27;21(1):171. doi: 10.1186/s12984-024-01442-6.

Abstract

BACKGROUND

The handstand is an essential skill in acrobatic sports. This skill requires the athlete to maintain an inverted upright stance with only the hands supported, which requires a great effort of muscular coordination and motor control. Several factors influence the ability to control the posture, including fatigue, which is a bit studied constraint of handstand performance.

RESEARCH QUESTION

With the aim to find out whether variability in movement control can be an indicator of fatigue, the present study was carried out.

METHOD

Fourteen male acrobatic gymnasts were required to perform handstands. The time series for analyzing variability were capturing using Force Platforms, which is a traditional laboratory instrument, and Inertial Measurement Units (IMU), which is a more recent and less widely used, but more accessible tool. For this purpose, an analysis of the amount of variability was carried out, using the standard deviation. And analysis of the structure of variability (or complexity), using Detrended Fluctuation Analysis (DFA) and Fuzzy Entropy (FuEn).

RESULTS

Our results reveal that fatigue causes significant increases in the amount of variability in the medio-lateral axis on the force platform, and in the IMU located in the area of the L5 vertebra. These changes are accompanied by increased auto-correlation in the medio-lateral axis of the force platform, and more unpredictable behavior in the L5 IMU.

摘要

背景

倒立是杂技运动中的一项基本技能。这项技能要求运动员仅用手支撑,保持倒立的垂直姿势,这需要很强的肌肉协调和运动控制能力。有几个因素会影响姿势控制能力,包括疲劳,这是对手倒立表现的一个研究较少的限制因素。

研究问题

本研究旨在探讨运动控制的可变性是否可以作为疲劳的指标。

方法

要求 14 名男性杂技体操运动员进行倒立。使用测力台(传统的实验室仪器)和惯性测量单元(IMU)(一种较新的、使用较少但更容易获得的工具)来捕获用于分析可变性的时间序列。为此,使用标准差进行了可变性量的分析,并使用去趋势波动分析(DFA)和模糊熵(FuEn)进行了可变性结构(或复杂性)的分析。

结果

我们的结果表明,疲劳会导致力台上的中-侧轴和 L5 椎骨区域的 IMU 的可变性显著增加。这些变化伴随着力台上中-侧轴的自相关增加,以及 L5 IMU 更不可预测的行为。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2923/11430115/c0ec9bcb6f78/12984_2024_1442_Fig1_HTML.jpg

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