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Mechanisms for improving walking speed after longitudinal powered robotic exoskeleton training for individuals with spinal cord injury

机译:纵向动力机器人外骨骼训练对脊髓损伤患者后提高步行速度的机制

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The goal of this study was to establish strideparameter gait models correlated to speed on individuals with chronic SCI and able-bodied controls walking with a powered robotic exoskeleton (EksoGT™). Longitudinal exoskeleton training (>100 hours) across eight individuals with SCI resulted in a 30% increase in walking speed. A simple linear regression between step length, stride length for given speed were very tightly correlated along a line of best fit (p <; .001). The temporal parameters of stride time, stance time and double support time depicted a non-linear exponentially decaying relationship for given walking speed. The research findings indicate that although longitudinal exoskeleton training reduces the temporal parameters, increases in spatial parameters are only marginal.
机译:这项研究的目的是建立与步态参数步态模型有关的步态模型,该步态模型与患有慢性SCI和身体健康的控制者(使用动力机器人外骨骼(EksoGT™)行走)的速度相关。八名患有SCI的个体进行了纵向外骨骼训练(> 100小时),使步行速度提高了30%。给定速度下步长,步幅之间的简单线性回归沿着最佳拟合线紧密相关(p <; .001)。步幅时间,站立时间和双支撑时间的时间参数描绘了给定步行速度的非线性指数衰减关系。研究发现表明,尽管纵向外骨骼训练减少了时间参数,但空间参数的增加只是微不足道的。

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