Kinematic Measures for Recovery Strategy Identification following an Obstacle-Induced Trip in Gait.

IF 1.1 4区 心理学 Q4 NEUROSCIENCES Journal of Motor Behavior Pub Date : 2023-01-01 DOI:10.1080/00222895.2022.2146043
Shuaijie Wang, Tanvi Bhatt
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引用次数: 2

Abstract

This study aimed to identify the kinematic measures determining balance outcome following an over-ground trip perturbation. 117 healthy older adults who experienced laboratory-induced trips were divided into loss of balance (LOB) and no LOB groups. The LOB group contained 27 fallers and 34 non-fallers, and the no LOB group contained 21 participants using cross-over strategy and 35 participants using obstacle-hit strategy. A 2-class hierarchical regression model for balance loss showed that margin of stabilty could determine the balance outcomes (LOB or not) with an overall accuracy of 92.7%. The 4-class model for recovery strategies showed that the combination of margin of stability, trunk angle, and COM velocity could determine 81.9% of strategies. Our findings would enhance intervention development for populations at risk of trip-induced falls.

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步态障碍绊倒后恢复策略识别的运动学方法。
本研究旨在确定在地面绊倒扰动后决定平衡结果的运动学措施。117名经历过实验室诱发旅行的健康老年人被分为平衡丧失(LOB)组和无LOB组。跳楼组有27名跳楼者和34名非跳楼者,无跳楼组有21名跳楼者和35名跳楼者。平衡损失的2类层次回归模型表明,稳定裕度可以决定平衡结果(LOB与否),总体准确率为92.7%。恢复策略的4类模型表明,稳定裕度、树干角度和COM速度的组合可以确定81.9%的策略。我们的研究结果将加强对有绊倒导致跌倒风险人群的干预措施的开发。
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来源期刊
Journal of Motor Behavior
Journal of Motor Behavior 医学-神经科学
CiteScore
3.10
自引率
0.00%
发文量
39
审稿时长
>12 weeks
期刊介绍: The Journal of Motor Behavior, a multidisciplinary journal of movement neuroscience, publishes articles that contribute to a basic understanding of motor control. Articles from different disciplinary perspectives and levels of analysis are encouraged, including neurophysiological, biomechanical, electrophysiological, psychological, mathematical and physical, and clinical approaches. Applied studies are acceptable only to the extent that they provide a significant contribution to a basic issue in motor control. Of special interest to the journal are those articles that attempt to bridge insights from different disciplinary perspectives to infer processes underlying motor control. Those approaches may embrace postural, locomotive, and manipulative aspects of motor functions, as well as coordination of speech articulators and eye movements. Articles dealing with analytical techniques and mathematical modeling are welcome.
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