Spatio-temporal parameters of gait measured by an ambulatory system using miniature gyroscopes
Spatio-temporal parameters of gait measured by an ambulatory system using miniature gyroscopes
复制标题
DOI：
10.1016/s0021-9290(02)00008-8
复制
发表时间：
2002-05-01
影响因子：
2.4
通讯作者：
Robert, P
中科院分区：
文献类型：
--
作者：
Aminian, K;Najafi, B;Robert, P
在这项研究中，我们描述了一个流动系统的时空参数估计在长时间的步行。提出了一种基于小波分析的步态时域参数提取方法，该方法利用下肢的角速度信息提取步态时域参数。基于力学模型，通过角速度的积分估计了站立和摆动时下肢的内外侧旋转、步长和速度。使用足部压力传感器提供的信息作为标准来评估测量的准确性。为了评估该方法对每个步态参数的广泛性能的准确性，我们收集了年轻和老年受试者的数据。脚趾离地检测未观察到显著误差，而从陀螺仪和脚踏开关获得的脚跟着地之间存在轻微的系统延迟（平均10 ms）。实际空间参数（步长和速度）与其估计值之间没有显着差异。速度和步长估计的误差分别为0.06米/秒和0.07英寸。该系统轻便、便携、便宜，不会引起受试者的任何不适。它可以长时间携带，从而提供新的纵向信息，如步态的步幅变化。可以提出几个临床应用，如全膝关节或髋关节置换术后的结果评估，截肢者的外部假体调整，康复进展的监测，神经系统疾病的步态分析，以及老年人跌倒风险的估计。(C)2002年由Elsevier Science Ltd.出版
In this study we describe an ambulatory system for estimation of spatio-temporal parameters during long periods of walking. This original method based on wavelet analysis is proposed to compute the values of temporal gait parameters from the angular velocity of lower limbs. Based on a mechanical model, the medio-lateral rotation of the lower limbs during stance and swing, the stride length and velocity are estimated by integration of the angular velocity. Measurement's accuracy was assessed using as a criterion standard the information provided by foot pressure sensors. To assess the accuracy of the method on a broad range of performance for each gait parameter, we gathered data from young and elderly subjects. No significant error was observed for toe-off detection, while a slight systematic delay (10 ms on average) existed between heelstrike obtained from gyroscopes and footswitch. There was no significant difference between actual spatial parameters (stride length and velocity) and their estimated values. Errors for velocity and stride length estimations were 0.06 m/s and 0.07 in, respectively. This system is light, portable, inexpensive and does not provoke any discomfort to Subjects. It can be carried for long periods of time, thus providing new longitudinal information such as stride-to-stride variability of gait. Several clinical applications can be proposed such as outcome evaluation after total knee or hip replacement, external prosthesis adjustment for amputees, monitoring of rehabilitation progress, gait analysis in neurological diseases, and fall risk estimation in elderly. (C) 2002 Published by Elsevier Science Ltd.