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Human Postural Control: Assessment of Two Alternative Interpretations of Center of Pressure Sample Entropy through a Principal Component Factorization of Whole-Body Kinematics

机译:人类姿势控制:通过全身运动学的主要组成部分分解评估压力样本熵中心的两种替代解释

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摘要

Sample entropy (SaEn), calculated for center of pressure (COP) trajectories, is often distinct for compromised postural control, e.g., in Parkinson, stroke, or concussion patients, but the interpretation of COP-SaEn remains subject to debate. The purpose of this paper is to test the hypotheses that COP-SaEn is related (Hypothesis 1; H1) to the complexity of the postural movement structures, i.e., to the utilization and coordination of the mechanical degrees of freedom; or (Hypothesis 2; H2) to the irregularity of the individual postural movement strategies, i.e., to the neuromuscular control of these movements. Twenty-one healthy volunteers (age 26.4 ± 2.4; 10 females), equipped with 27 reflective markers, stood on a force plate and performed 2-min quiet stances. Principal movement strategies (PMs) were obtained from a principal component analysis (PCA) of the kinematic data. Then SaEn was calculated for the COP and PM time-series. H1 was tested by correlating COP-SaEn to the relative contribution of the PMs to the subject specific overall movement and H2 by correlating COP-SaEn and PM-SaEn. Both hypotheses were supported. This suggests that in a healthy population the COP-SaEn is linked to the complexity of the coordinative structure of postural movements, as well as to the irregularity of the neuromuscular control of specific movement components.
机译:用于压力中心(COP)轨迹计算的样品熵(SAEN)通常是损害的姿势控制,例如在帕金森,中风或脑震荡患者中的损害,但对Cop-Saen的解释仍然受到辩论。本文的目的是测试COP-SAEN与姿势运动结构的复杂性相关的假设(假设1; H1),即,利用机械自由度的利用和协调;或(假设2; H2)到各个姿势运动策略的不规则性,即对这些运动的神经肌肉控制。二十一个健康的志愿者(26.4±2.4; 10名女性),配备了27个反射标记,站在一个力板上,并进行了2分钟的安静立场。主要成型策略(PMS)是从运动学数据的主要成分分析(PCA)获得的。然后计算Saen用于COP和PM时间序列。通过将COP-SAEN与PMS与受试者特异性整体运动和H2相关的相对贡献来测试H1,通过关联COP-SAEN和PM-SAEN来测试。两个假设都得到了支持。这表明,在健康的人口中,COP-SAEN与姿势运动协调结构的复杂性相关,以及特定运动组分的神经肌肉控制的不规则性。

著录项

  • 期刊名称 Entropy
  • 作者

    Thomas Haid; Peter Federolf;

  • 作者单位
  • 年(卷),期 2018(20),1
  • 年度 2018
  • 页码 30
  • 总页数 8
  • 原文格式 PDF
  • 正文语种
  • 中图分类
  • 关键词

    机译:神经肌肉控制;电机控制;压力中心;主成分分析PCA;自由度;复杂性;平衡;神经科学;

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