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一种基于标记的运动学方法,用于识别步态中的初始接触,适用于实时视觉反馈应用。

A marker based kinematic method of identifying initial contact during gait suitable for use in real-time visual feedback applications.

机构信息

School of Engineering, Design and Technology, University of Bradford, UK.

出版信息

Gait Posture. 2012 Jul;36(3):650-2. doi: 10.1016/j.gaitpost.2012.04.016. Epub 2012 Jun 15.

Abstract

A gait cycle is typically defined as being from heel strike or initial contact (IC) to the next ipsilateral IC using kinetic data. When these data are not available other methods of event definition are required. An algorithm based upon sagittal plane kinematics of the hip, which defines IC at contralateral peak hip extension (PHE) is presented. Kinematic and kinetic data were recorded while 10 unimpaired participants each completed a minimum of 25 overground gait cycles. The accuracy of 551 IC events was evaluated by comparing the agreement of PHE to other kinematic and kinetic algorithms. The mean temporal difference in IC between the PHE algorithm and a kinetic algorithm was +0.0006±0.008 s. The 95% Limits of Agreement was ±0.018 s. This new PHE algorithm provides simple to implement and accurate gait events for use when kinetic data are not available.

摘要

步态周期通常定义为从足跟触地或初始接触(IC)到下一个对侧 IC 的过程,使用动力学数据。当没有这些数据时,需要使用其他方法来定义事件。本文提出了一种基于髋关节矢状面运动学的算法,该算法将 IC 定义为对侧髋关节伸展峰值(PHE)。在 10 名无损伤参与者完成至少 25 次地面步行周期的过程中,记录了运动学和动力学数据。通过比较 PHE 与其他运动学和动力学算法的一致性,评估了 551 次 IC 事件的准确性。PHE 算法和动力学算法之间 IC 的时间差异平均值为+0.0006±0.008 s。95%的一致性界限为±0.018 s。这种新的 PHE 算法提供了简单的实现和准确的步态事件,可在没有动力学数据时使用。

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