Zijlstra Agnes, Goosen Jon H M, Verheyen Cees C P M, Zijlstra Wiebren
Center for Human Movement Sciences, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Gait Posture. 2008 Jan;27(1):164-7. doi: 10.1016/j.gaitpost.2007.02.010. Epub 2007 Apr 12.
This paper presents a body-fixed-sensor (BFS) based approach for quantifying compensatory trunk movements during unconstrained walking. Orientation of trunk segments was calculated by fusing low-pass filtered accelerometer data and high-pass filtered data from gyroscopes. To evaluate accuracy, frontal plane angular movements of the pelvis during different treadmill walking conditions were compared to results based on a high-accuracy camera system. Mean differences between the two methods remained within 0.31 degrees , standard deviations of differences within 1.4 degrees and error percentages within 17.7%. Correlations ranged from 0.87 to 0.99. To test whether the method could discriminate between hip arthroplasty patients with and without compensatory trunk movements, the BFS based method was applied to patients and healthy controls during overground walking. Within a walking speed range of 0.40-1.10 m/s, the peak-to-peak amplitudes of trunk movements ranged from 5.7 degrees to 7.9 degrees in healthy subjects and from 13.5 degrees to 26.3 degrees versus 7.4 degrees to 13.8 degrees in patients with and without compensatory trunk movements, respectively. The presented BFS based approach can be used to assess spatio-temporal gait parameters and trunk movements and thus to objectively monitor gait function in hip arthroplasty patients in a clinical setting.
本文提出了一种基于身体固定传感器(BFS)的方法,用于量化无约束行走过程中的代偿性躯干运动。通过融合低通滤波后的加速度计数据和来自陀螺仪的高通滤波数据来计算躯干节段的方向。为了评估准确性,将不同跑步机行走条件下骨盆在额状面的角运动与基于高精度摄像系统的结果进行了比较。两种方法之间的平均差异保持在0.31度以内,差异的标准差在1.4度以内,误差百分比在17.7%以内。相关性范围为0.87至0.99。为了测试该方法能否区分有和没有代偿性躯干运动的髋关节置换患者,将基于BFS的方法应用于患者和健康对照在地面行走时的情况。在0.40 - 1.10 m/s的步行速度范围内,健康受试者躯干运动的峰峰值幅度在5.7度至7.9度之间,有和没有代偿性躯干运动的患者分别在13.5度至26.3度与7.4度至13.8度之间。所提出的基于BFS的方法可用于评估时空步态参数和躯干运动,从而在临床环境中客观监测髋关节置换患者的步态功能。