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树干在挑战性平衡条件下对姿势控制的贡献。

The trunk's contribution to postural control under challenging balance conditions.

机构信息

Université de Lorraine, DevAH, F-54000, Nancy, France; Université de Lorraine, Faculty of Sport Sciences, Nancy, France.

Université de Lorraine, DevAH, F-54000, Nancy, France; Université de Lorraine, Faculty of Sport Sciences, Nancy, France.

出版信息

Gait Posture. 2021 Feb;84:102-107. doi: 10.1016/j.gaitpost.2020.11.020. Epub 2020 Nov 20.

Abstract

BACKGROUND

The double inverted pendulum model is imprecise when applied to studies of postural control. Although multijoint analyses have improved our understanding of how balance is maintained, the exact role of the trunk remains unclear.

RESEARCH QUESTIONS

What is the trunk's contribution in postural control with respect to the other joints and how do trunk muscles control trunk kinematics?

METHODS

Thirty-six healthy athletes (handball, karate, long jump) performed a highly challenging balance task while the ground support was dynamically tilted in the sagittal plane. The center of force (CoF) as well as lower limb joint angles and the trunk-pelvis angle were respectively measured with a force platform and inertial measurement units. The amplitude, sway path and standard deviation of the CoF and the joint angles were then calculated. Electromyography was used to record the activity of the rectus abdominis, external obliquus, and erector spinae muscles. Multiple linear regressions were computed to determine the joints' and muscles' contributions (β-coefficients) in predicting CoF variables and trunk kinematics, respectively.

RESULTS

The linear combination of joint kinematic variables accounted for between 33 % and 75 % of the variance in the CoF. The ankle had the highestβ and was a significant predictor of all CoF variables. The trunk yielded the second highest β-coefficient and was a significant predictor of the CoF sway path. Electromyography variables accounted for no more than 35 % of the variance in the trunk kinematics, and erector spinae activity was the only significant predictor.

SIGNIFICANCE

The trunk appears to be the second most important element during this specific postural task, in the magnitude of body sway in particular. But neuromuscular control of these trunk processes is difficult to characterize with surface electromyography only. The trunk should be taken into account when seeking to improve overall postural control (e.g. during training, rehabilitation).

摘要

背景

双倒立摆模型在用于姿势控制研究时并不精确。虽然多关节分析提高了我们对平衡维持方式的理解,但躯干的确切作用仍不清楚。

研究问题

在其他关节方面,躯干在姿势控制中的贡献是什么,以及躯干肌肉如何控制躯干运动学?

方法

36 名健康运动员(手球、空手道、跳远)在矢状面动态倾斜的地面支撑上完成了一项极具挑战性的平衡任务。力平台和惯性测量单元分别测量力中心(CoF)以及下肢关节角度和躯干-骨盆角度。然后计算 CoF 和关节角度的幅度、摆动路径和标准差。肌电图用于记录腹直肌、腹外斜肌和竖脊肌的活动。计算多元线性回归,以确定关节和肌肉分别在预测 CoF 变量和躯干运动学方面的贡献(β 系数)。

结果

关节运动学变量的线性组合解释了 CoF 变化的 33%至 75%。踝关节具有最高的β值,是所有 CoF 变量的显著预测因子。躯干产生的第二高β系数,是 CoF 摆动路径的显著预测因子。肌电图变量最多只能解释躯干运动学变化的 35%,只有竖脊肌活动是唯一显著的预测因子。

意义

在这个特定的姿势任务中,躯干似乎是第二重要的因素,特别是在身体摆动的幅度方面。但是,仅使用表面肌电图很难对这些躯干过程的神经肌肉控制进行描述。在寻求改善整体姿势控制(例如在训练、康复期间)时,应考虑到躯干。

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