What COP and Kinematic Parameters Better Characterize Postural Control in Standing Balance Tasks?
What COP and Kinematic Parameters Better Characterize Postural Control in Standing Balance Tasks?
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DOI：
10.1080/00222895.2015.1014545
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发表时间：
2015-11-01
影响因子：
1.4
通讯作者：
Javier Moreno, Francisco
中科院分区：
文献类型：
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作者：
Caballero, Carla;Barbado, David;Javier Moreno, Francisco
作者的目的是确定哪些变量可以表征运动平衡行为。压力中心（COP; n = 30）和运动学（n = 10）的传统措施和非线性措施进行了测试，在其绝对和相对的一致性，在30秒的站立平衡任务协议在稳定和不稳定的条件下。对于COP变量，平均速度（mVel），排列熵（PE）和去趋势波动分析（DFA）表现出较高的一致性之间的试验和排名的个人更准确地与其他指标相比。在运动学信号mVel中，PE和DFA在不稳定条件下具有良好的会话内可靠性值。总体而言，在不稳定的条件下比在稳定的条件下，更好的会话内的可靠性值和使用派生数据计算的措施有更好的会话内的可靠性值。总之，mVel、PE和DFA允许在分析速度时间序列的简化方案中对运动平衡行为进行良好表征。
The authors' aim was to determine which variables allow for the characterization of motor balance behavior. Traditional measures and nonlinear measures of center of pressure (COP; n = 30) and kinematics (n = 10) were tested in their absolute and relative consistency in a 30-s standing balance task protocol under stable and unstable conditions. Regarding COP variables, mean velocity (mVel), permutation entropy (PE) and detrended fluctuation analysis (DFA) exhibited high consistency between trials and ranked individuals more accurately compare with other metrics. In the kinematic signal mVel, PE and DFA had good intrasession reliability values in unstable conditions. Overall, the intrasession reliability values were better in the unstable condition than in the stable condition and the measures calculated using derived data had better intrasession reliability values. In conclusion, mVel, PE, and DFA allow for the good characterization of motor balance behavior in a simplified protocol where velocity time series are analyzed.