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通过速度特征区分跌倒活动与正常活动。

Distinguishing fall activities from normal activities by velocity characteristics.

作者信息

Wu G

机构信息

Department of Physical Therapy, The University of Vermont, 305 Rowell Building, Burlington, VT 05405, USA.

出版信息

J Biomech. 2000 Nov;33(11):1497-500. doi: 10.1016/s0021-9290(00)00117-2.

DOI:10.1016/s0021-9290(00)00117-2
PMID:10940409
Abstract

The purpose of this study was to identify unique features of the velocity profile during normal and abnormal (i.e., fall) activities so as to make the automatic detection of falls during the descending phase of a fall possible. Normal activities included walking, rising from a chair and sitting down, descending stairs, picking up an object from the floor, transferring in and out of a tub, and lying down on a bed. The fall activities included tripping, forward and backward falls from standing. The horizontal and vertical velocities (V(h) and V(v)) at various locations of the trunk was measured. It was found that the V(h) and V(v) of the trunk during normal activities were within a well-controlled range, and that when the velocity in one direction increased, the velocity in the other direction usually did not. In contrast, the V(h) and V(v) demonstrated two different characteristics for the fall movement. Firstly, the magnitude of both V(h) and V(v) of the trunk increased dramatically during the falling phase, reaching up to 2-3 times that of normal velocities. Secondly, the increase of V(h) and V(v) magnitude usually occurred simultaneously, and usually about 300-400 ms before the end of the fall. These two velocity characteristics, that is, the magnitude change and the timing of the magnitude change of both V(h) and V(v), could be used to distinguish fall movements from normal activities during the descending phase of the fall. It is hoped that the application of these two velocity characteristics could lead to potentially preventing or degrading fall-related injuries in the elderly population when connected with other devices.

摘要

本研究的目的是识别正常和异常(即跌倒)活动期间速度剖面的独特特征,以便在跌倒的下降阶段实现对跌倒的自动检测。正常活动包括行走、从椅子上起身和坐下、下楼梯、从地板上捡起物体、进出浴缸以及躺在床上。跌倒活动包括绊倒、站立时向前和向后跌倒。测量了躯干不同位置的水平和垂直速度(V(h)和V(v))。研究发现,正常活动期间躯干的V(h)和V(v)在一个良好控制的范围内,并且当一个方向的速度增加时,另一个方向的速度通常不会增加。相比之下,V(h)和V(v)在跌倒运动中表现出两种不同的特征。首先,在跌倒阶段,躯干的V(h)和V(v)的大小都急剧增加,达到正常速度的2至3倍。其次,V(h)和V(v)大小的增加通常同时发生,并且通常在跌倒结束前约300至400毫秒。这两个速度特征,即V(h)和V(v)的大小变化以及大小变化的时间,可以用于在跌倒的下降阶段将跌倒运动与正常活动区分开来。希望将这两个速度特征与其他设备连接起来应用时,能够潜在地预防或减轻老年人群中与跌倒相关的伤害。

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