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Characterization of gait pattern by 3D angular accelerations in hemiparetic and healthy gait

机译:偏瘫和健康步态中3D角加速度对步态模式的表征

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Characterization of gait pattern is of interest for clinical gait assessment. Past developments of ambulatory measurement systems have still limitations for daily usage in the clinical environment. This study investigated the potential of 3D angular accelerations of foot, shank, and thigh to characterize gait events and phases of ten healthy and ten hemiparetic subjects. The key feature of the system was the use of angular accelerations obtained by differential measurement. Further, the effect of sensor position and walking cadence on the signal was investigated. We found that gait phases are characterized as modulated amplitudes of angular accelerations of foot, shank, and thigh. Increasing the gait cadence from 70. steps/min to 100. steps/min caused an amplitude increase of the magnitude of the vector, summing all 3D angular accelerations on the sensor position (p<0.001). Comparison of healthy and hemiparetic gait showed a lower mean of the magnitude of the vector during the loading response in the hemiparetic gait (p<0.05), while during pre-swing and swing no significant differences between healthy and hemiparetic gait were observed. A comparison of the tangential acceleration component in the frontal plane showed no statistically significant difference between healthy and hemiparetic gait. Further, no statistically significant difference between the tangential components was found for both groups. This method demonstrated promising results for a possible use for gait assessment. ? 2012 Elsevier B.V.
机译:步态模式的表征是临床步态评估的兴趣所在。动态测量系统的过去发展仍然限制了临床环境中的日常使用。这项研究调查了脚,小腿和大腿的3D角加速度对表征10名健康受试者和10名半肥胖受试者的步态事件和阶段的潜力。该系统的关键特征是使用了通过差分测量获得的角加速度。此外,研究了传感器位置和步行节奏对信号的影响。我们发现步态相位的特征是脚,小腿和大腿的角加速度的调制幅度。将步态节奏从70.step / min增加到100.step / min导致矢量幅度的幅度增加,将传感器位置上的所有3D角加速度求和(p <0.001)。健康步态和半步态步态的比较表明,在半步态步态的负荷响应过程中,载体幅度的平均值较低(p <0.05),而在摆动前和摆动过程中,健康步态和半步态步态之间没有观察到显着差异。在额叶面中切向加速度分量的比较显示,健康步态和偏瘫步态之间没有统计学显着差异。此外,两组的切向分量之间均未发现统计学上的显着差异。该方法证明了有希望的结果,可用于步态评估。 ? 2012年Elsevier B.V.

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