步态分析:头部垂直运动导致下肢关节角度运动

Tong-Hun Hwang, A. Effenberg
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引用次数: 0

摘要

随着耳机、智能眼镜等头戴式设备的日益增多,利用头戴式传感器进行步态分析的研究也应运而生。这些头戴式传感器解决方案可用于以较低的成本分析日常生活中的自然步态模式。然而,这些方法仅限于时空步态参数,并且由于角度通常由至少两个传感器测量,因此到目前为止还不可能测量下半身的关节角度运动。为了克服这一限制,有必要仔细研究头部和下半身关节之间的关系。因此,本文使用传递熵分析估计了行走时头部垂直运动与下肢关节运动之间的因果关系。总共分析了12名参与者的步态模式。引人注目的是,从头部运动到关节角度运动的传递熵方向比相反的传递熵方向更占优势,其中头部和臀部之间的传递熵方向最明显。这一发现可以为简单使用头戴式传感器对下肢关节问题进行简单的二次测量奠定基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gait Analysis: Head Vertical Movement Leads to Lower Limb Joint Angle Movements
Supported by the increasing number of head-worn devices, such as earbuds and smart glasses, research on gait analysis using head-worn sensors has been emerged. These head-worn sensor solutions can be used to analyze natural gait patterns in daily life at lower costs. However, these approaches are limited to spatial-temporal gait parameters, and it is so far impossible to measure joint angle movements of the lower body because angles are normally measured by at least two sensors. To overcome the limitation, it is necessary to scrutinize the relationship between the head and lower body joints. In this paper, therefore, the causality between head vertical movement and lower limb joint movements was estimated using a transfer entropy analysis during walking. In total, 12 participants' gait patterns were analyzed. Strikingly, the transfer entropy direction from the head movements to the joint angle movements was more dominant than vice versa, which was the most obvious between the head and hip. This finding can lay the groundwork for simple secondary measurement of lower limb joint problems with the simple use of head-worn sensors.
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