Decrease in Hurst exponent of human gait with aging and neurodegenerative diseases

doi:10.1088/1674-1056/17/3/021

Abstract

Abstract In this paper the decrease in the Hurst exponent of human gait with aging and neurodegenerative diseases was observed by using an improved rescaled range (R/S) analysis method. It indicates that the long-range correlations of gait rhythm from young healthy people are stronger than those from the healthy elderly and the diseased. The result further implies that fractal dynamics in human gait will be altered due to weakening or impairment of neural control on locomotion resulting from aging and neurodegenerative diseases. Due to analysing short-term data sequences rather than long datasets required by most nonlinear methods, the algorithm has the characteristics of simplicity and sensitivity, most importantly, fast calculation as well as powerful anti-noise capacities. These findings have implications for modelling locomotor control and also for quantifying gait dynamics in varying physiologic and pathologic states.

Keywords: dynamics nonlinearity Hurst exponent locomotion

Received: 03 April 2007
Revised: 29 July 2007
Accepted manuscript online:

PACS:	87.19.rs	(Movement)
	05.45.Df	(Fractals)
	87.19.L-	(Neuroscience)
	87.19.X-	(Diseases)

Fund: Project supported by the National Natural Science Foundation of China (Grant No 60501003).

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Zhuang Jian-Jun(庄建军), Ning Xin-Bao(宁新宝), Yang Xiao-Dong(杨小冬), Hou Feng-Zhen(侯凤贞), and Huo Cheng-Yu(霍铖宇) Decrease in Hurst exponent of human gait with aging and neurodegenerative diseases 2008 Chin. Phys. B 17 852

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Decrease in Hurst exponent of human gait with aging and neurodegenerative diseases

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