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Inertial sensor based and shoe size independent gait analysis including heel and toe clearance estimation

机译:基于惯性传感器和鞋子尺寸的步态分析,包括脚跟和脚趾间隙估计

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Falls are a major cause for morbidity and mortality in the ageing society. Inertial sensor based gait assessment including the analysis of the heel and toe clearance can be an indicator for the risk of falling. This paper presents a method for calculating the continuous heel and toe clearance without the knowledge of the shoe dimensions as well as the foot angle in the sagittal plane. These gait parameters were validated using an optical motion capture system. 20 healthy subjects from 3 different age groups (young, mid age, old) performed gait trials with different stride lengths and stride velocities. We obtained low mean absolute errors, low standard deviations and high Pearson correlations (0.91-0.99) for all gait parameters. In summary, we implemented a viable algorithm for the calculation of the heel and toe clearance without knowing the shoe dimensions as well as the foot angle in sagittal plane. We conclude that the given method is applicable for a mobile and unobtrusive gait assessment for healthy subjects from all age classes.
机译:在衰老的社会中,跌倒是发病率和死亡率的主要原因。基于惯性传感器的步态评估包括对脚跟和脚趾间隙的分析,可以作为跌倒风险的指标。本文提出了一种计算连续脚跟和脚趾间隙的方法,而无需知道鞋的尺寸以及矢状面中的脚角。这些步态参数使用光学运动捕捉系统进行了验证。来自3个不同年龄段(年轻,中年,老年人)的20位健康受试者进行了步态试验,步幅不同,步幅速度也不同。对于所有步态参数,我们均获得了较低的平均绝对误差,较低的标准偏差和较高的皮尔逊相关系数(0.91-0.99)。总之,我们实现了一种可行的算法来计算脚后跟和脚趾的间隙,而无需知道鞋的尺寸以及矢状面中的脚角。我们得出的结论是,给定的方法适用于所有年龄段健康受试者的移动且步态流畅的步态评估。

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