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Step-to-Step Variability in Treadmill Walking: Influence of Rhythmic Auditory Cueing

机译:步骤到台阶的变异在跑步机行走:艺术听觉线索化的影响

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摘要

While walking, human beings continuously adjust step length (SpL), step time (SpT), step speed (SpS = SpL/SpT) and step width (SpW) by integrating both feedforward and feedback mechanisms. These motor control processes result in correlations of gait parameters between consecutive strides (statistical persistence). Constraining gait with a speed cue (treadmill) and/or a rhythmic auditory cue (metronome), modifies the statistical persistence to anti-persistence. The objective was to analyze whether the combined effect of treadmill and rhythmic auditory cueing (RAC) modified not only statistical persistence, but also fluctuation magnitude (standard deviation, SD), and stationarity of SpL, SpT, SpS and SpW. Twenty healthy subjects performed 6×5 min. walking tests at various imposed speeds on a treadmill instrumented with foot-pressure sensors. Freely-chosen walking cadences were assessed during the first three trials, and then imposed accordingly in the last trials with a metronome. Fluctuation magnitude (SD) of SpT, SpL, SpS and SpW was assessed, as well as NonStationarity Index (NSI), which estimates the dispersion of local means in the times series (SD of 20 local means over 10 steps). No effect of RAC on fluctuation magnitude (SD) was observed. SpW was not modified by RAC, what is likely the evidence that lateral foot placement is separately regulated. Stationarity (NSI) was modified by RAC in the same manner as persistent pattern: Treadmill induced low NSI in the time series of SpS, and high NSI in SpT and SpL. On the contrary, SpT, SpL and SpS exhibited low NSI under RAC condition. We used relatively short sample of consecutive strides (100) as compared to the usual number of strides required to analyze fluctuation dynamics (200 to 1000 strides). Therefore, the responsiveness of stationarity measure (NSI) to cued walking opens the perspective to perform short walking tests that would be adapted to patients with a reduced gait perimeter.
机译:人们在行走时,通过整合前馈和反馈机制,可以连续调整步长(SpL),步长时间(SpT),步速(SpS = SpL / SpT)和步幅(SpW)。这些运动控制过程导致步幅参数在连续步幅之间的相关性(统计持久性)。用速度提示(跑步机)和/或有节奏的听觉提示(节拍器)限制步态,将统计持久性修改为反持久性。目的是分析跑步机和有节奏的听觉提示(RAC)的组合效果是否不仅可以改变统计持久性,而且可以改变波动幅度(标准差,SD)以及SpL,SpT,SpS和SpW的平稳性。二十名健康受试者进行6×5分钟。在装有脚压力传感器的跑步机上以各种施加的速度进行步行测试。在前三项试验中对自由选择的步行节奏进行了评估,然后在最后的试验中使用节拍器对其进行了强制选择。评估了SpT,SpL,SpS和SpW的波动幅度(SD)以及非平稳性指数(NSI),该指数估计了本地平均值在时间序列中的离散度(SD在20个本地平均值中分10个步骤)。没有观察到RAC对波动幅度(SD)的影响。 RAC并未修改SpW,这很可能是单独调节外侧脚位置的证据。平稳性(NSI)由RAC以与持久模式相同的方式进行了修改:跑步机在SpS的时间序列中引起较低的NSI,而在SpT和SpL中引起的较高NSI。相反,在RAC条件下,SpT,SpL和SpS的NSI较低。与分析波动动态(200至1000个步幅)所需的通常步幅相比,我们使用了相对较短的连续步幅(100)样本。因此,平稳性测量(NSI)对提示步行的响应性打开了进行短步行测试的视野,该测试将适合步态周长减小的患者。

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    Philippe Terrier;

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  • 年(卷),期 -1(7),10
  • 年度 -1
  • 页码 e47171
  • 总页数 9
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