Quasi real-time gait event detection using shank-attached gyroscopes
Quasi real-time gait event detection using shank-attached gyroscopes
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DOI：
10.1007/s11517-011-0736-0
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发表时间：
2011-06-01
影响因子：
3.2
通讯作者：
Park, Edward J.
中科院分区：
文献类型：
--
作者：
Lee, Jung Keun;Park, Edward J.
本文描述了一种用于长期监测步行的步态事件检测方法。Aminian等人。[2]提出了一种基于附腿陀螺仪信号的步态事件自动检测算法。然而，这种算法有一个缺点，那就是它是后处理的。我们提出了一种改进的算法，它使用与文献[2]相同的概念来检测脚的初始和结束接触定时，但是准实时的。利用步态序列和峰值角加速度知识，实现了准实时检测。此外，为了实用，该算法被开发以确保检测的健壮性(即，在不同速度条件下不遗漏步态事件)。使用脚踏开关对算法的验证表明，该算法比基于脚踏开关的方法更早地检测到末端接触(-8ms)，而对初始接触的检测晚(19ms)。
This article describes an ambulatory gait event detection method for long-term monitoring of walking. Aminian et al. [2] have developed an automatic gait event detection algorithm based on shank-attached gyroscope signals. However, this algorithm has a drawback in that it is post-processed. We propose a modified algorithm which detects foot initial and end contact timings using the same concept as in [2], but in quasi real-time. The utilization of the knowledge on gait sequence and peak angular acceleration realizes the quasi real-time detection. Furthermore, to be practical, the algorithm has been developed to ensure the robustness of detection (i.e., without missing the gait events in various speed conditions). Validation of the algorithm using footswitches shows that the algorithm detected the end contacts earlier (-8 ms) and the initial contacts later (19 ms) than the footswitch-based method.