Differentiating fall-prone and healthy adults using local dynamic stability.
Differentiating fall-prone and healthy adults using local dynamic stability.
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DOI：
10.1080/00140130802567079
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发表时间：
2008-12
期刊：
影响因子：
2.4
通讯作者：
Liu J
中科院分区：
文献类型：
--
作者：
Lockhart TE;Liu J
运动学和时空步态参数的变化一直等同于稳定性，并用于区分跌倒者和非跌倒者。近年来，基于非线性动力学理论，提出了一种严格的局部动力学稳定性的数学度量方法来区分坠落者和非坠落者。本研究调查了局部动态稳定性评估是否可以识别出无法成功避免滑倒引起的福尔斯跌倒的易跌倒老年人。五名健康的年轻人，四名健康的老年人和四名容易跌倒的老年人参加了步行实验。局部动态稳定性由最大李雅普诺夫指数来量化。容易跌倒的老年人被发现表现出显着较低的局部动态稳定性（即更大的敏感性，局部扰动），与他们的健康同行相比。除了提供证据表明老年人的增加福尔斯可能是由于在运动过程中无法衰减/控制步幅干扰，目前的研究提出了使用局部动态稳定性作为跌倒风险的潜在指标的机会。早期识别具有较高跌倒风险的个体对于有效预防跌倒非常重要。这项研究的结果表明，局部动态稳定性可以作为一个潜在的下降预测区分容易跌倒的成年人。
Variability in kinematic and spatio-temporal gait parameters has long been equated with stability and used to differentiate fallers from non-fallers. Recently, a mathematically rigorous measure of local dynamic stability has been proposed based on the non-linear dynamics theory to differentiate fallers from non-fallers. This study investigated whether the assessment of local dynamic stability can identify fall-prone elderly individuals who were unable to successfully avoid slip-induced falls. Five healthy young, four healthy elderly and four fall-prone elderly individuals participated in a walking experiment. Local dynamic stability was quantified by the maximum Lyapunov exponent. The fall-prone elderly were found to exhibit significantly lower local dynamic stability (i.e. greater sensitivity to local perturbations), as compared to their healthy counterparts. In addition to providing evidence that the increased falls of the elderly may be due to the inability to attenuate/control stride-to-stride disturbances during locomotion, the current study proposed the opportunity of using local dynamic stability as a potential indicator of risk of falling. Early identification of individuals with a higher risk of falling is important for effective fall prevention. The findings from this study suggest that local dynamic stability may be used as a potential fall predictor to differentiate fall-prone adults.
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影响因子：
2.4
作者：
Dingwell, JB;Marin, LC
通讯作者：
Marin, LC
影响因子：
6.7
作者：
IMMS, FJ;EDHOLM, OG
通讯作者：
EDHOLM, OG
影响因子：
2.4
作者：
Dingwell, JB;Cusumano, JP;Cavanagh, PR
通讯作者：
Cavanagh, PR
DOI：
10.1016/0020-7101(95)01139-6
发表时间：
1995-10-01
期刊：
INTERNATIONAL JOURNAL OF BIO-MEDICAL COMPUTING
影响因子：
--
作者：
CELLER, BG;EARNSHAW, W;LOVELL, NH
通讯作者：
LOVELL, NH
DOI：
10.1115/1.2746383
发表时间：
2007-08-01
影响因子：
1.7
作者：
Dingwell, Jonathan B.;Kang, Hyun Gu
通讯作者：
Kang, Hyun Gu