基于地面接触力的实时步态相位检测自适应方法。

Adaptive method for real-time gait phase detection based on ground contact forces.

作者信息

Yu Lie, Zheng Jianbin, Wang Yang, Song Zhengge, Zhan Enqi

机构信息

School of Information Engineering, Wuhan University of Technology, Wuhan, China; Key Laboratory of Fiber Optic Sensing Technology and Information Processing, Ministry of Education, Wuhan University of Technology, Wuhan, China.

出版信息

Gait Posture. 2015 Jan;41(1):269-75. doi: 10.1016/j.gaitpost.2014.10.019. Epub 2014 Oct 28.

DOI:10.1016/j.gaitpost.2014.10.019

PMID:25468687

Abstract

A novel method is presented to detect real-time gait phases based on ground contact forces (GCFs) measured by force sensitive resistors (FSRs). The traditional threshold method (TM) sets a threshold to divide the GCFs into on-ground and off-ground statuses. However, TM is neither an adaptive nor real-time method. The threshold setting is based on body weight or the maximum and minimum GCFs in the gait cycles, resulting in different thresholds needed for different walking conditions. Additionally, the maximum and minimum GCFs are only obtainable after data processing. Therefore, this paper proposes a proportion method (PM) that calculates the sums and proportions of GCFs wherein the GCFs are obtained from FSRs. A gait analysis is then implemented by the proposed gait phase detection algorithm (GPDA). Finally, the PM reliability is determined by comparing the detection results between PM and TM. Experimental results demonstrate that the proposed PM is highly reliable in all walking conditions. In addition, PM could be utilized to analyze gait phases in real time. Finally, PM exhibits strong adaptability to different walking conditions.

摘要

提出了一种基于力敏电阻（FSR）测量的地面接触力（GCF）来检测实时步态阶段的新方法。传统阈值法（TM）设置一个阈值将GCF分为着地和离地状态。然而，TM既不是自适应方法也不是实时方法。阈值设置基于体重或步态周期中的最大和最小GCF，导致不同行走条件需要不同阈值。此外，最大和最小GCF只有在数据处理后才能获得。因此，本文提出一种比例法（PM），该方法计算从FSR获得的GCF的总和及比例。然后通过所提出的步态阶段检测算法（GPDA）进行步态分析。最后，通过比较PM和TM的检测结果来确定PM的可靠性。实验结果表明，所提出的PM在所有行走条件下都具有高度可靠性。此外，可以利用PM实时分析步态阶段。最后，PM对不同行走条件表现出很强的适应性。