Assessment of spatio-temporal gait parameters using inertial measurement units in neurological populations
Assessment of spatio-temporal gait parameters using inertial measurement units in neurological populations
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DOI：
10.1016/j.gaitpost.2011.06.018
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发表时间：
2011-10-01
期刊：
影响因子：
2.4
通讯作者：
Howells, Ken
中科院分区：
文献类型：
--
作者：
Esser, Patrick;Dawes, Helen;Howells, Ken
基于实验室的步态分析技术是昂贵的，耗时的，需要技术专长。惯性测量单元可以直接测量时间参数，并与步态模型相结合，可以提供一种解决方案，以获得日常临床评估中的空间步态测量。然而，尚不清楚Zijlstra和霍夫[8]确定的用于估计典型发育成人（TDA）步长和步幅参数的模型和标准校正因子是否可以准确地用于神经功能受损步态。本研究使用先前建立的TDA模型和校正因子，估计了患有神经系统疾病的人以自选步行速度进行两次10 m步行的步幅。研究对象包括TDA（n = 10）、帕金森病（PD; n = 24）、肌营养不良（MD; n = 13）、运动神经元病（MND; n = 7）和脑卒中幸存者（n = 18），他们以自选的步速步行两次，每次步行10 m。TDA（1.25 +/- 0.01）、PD（1.25 +/- 0.03）和MD（1.21 +/- 0.08）（p = 0.833和p = 0.242）的步长校正因子与之前在TDA中报告的相同（Zijlstra和霍夫[8]）。中风（1.17 +/- 0.42）和MND（1.10 +/- 0.08）的校正因子不同（分别为p < 0.01和p = 0.028）。然而，有一个组内的校正因子，这并不涉及步行speed. We的研究结果支持，校正因子应确定为每个人估计平均步/步长在患有神经系统疾病的患者的变异性高。(C)2011 Elsevier B. V.保留所有权利。
Laboratory based gait analysis techniques are expensive, time consuming and require technical expertise. Inertial measurement units can directly measure temporal parameters and in combination with gait models may provide a solution to obtain spatial gait measurements within daily clinical assessments. However it is not known if a model and standard correction factor determined by Zijlstra and Hof [8] to estimate step and stride length parameters in typically developed adults (TDA) can be accurately used in neurologically impaired gaits.This research estimated the stride length over two 10 m walks at self selected walking speed in people with neurological conditions, using a previously established model and correction factor for TDA. The relation of the correction factor to walking speed was explored.We recruited TDA (n = 10) and participants with Parkinson's disease (PD; n = 24), muscular dystrophy (MD; n = 13), motor neuron disease (MND; n = 7) and stroke survivors (n = 18) for the study who twice walked 10 m at a self-selected pace. Stride length correction factors, for TDA (1.25 +/- 0.01), PD (1.25 +/- 0.03), and MD (1.21 +/- 0.08) (p = 0.833 and p = 0.242) were the same as previously reported in TDA (Zijlstra and Hof [8]). Correction factors for stroke (1.17 +/- 0.42) and MND (1.10 +/- 0.08) were different (p < 0.01 and p = 0.028 respectively). However there was a high level of variability for correction factors within groups, which did not relate to walking speed.Our findings support that correction factors should be determined for each individual to estimate average step/stride length in patients suffering from a neurological condition. (C) 2011 Elsevier B.V. All rights reserved.