Diffusion entropy analysis on the stride interval fluctuation of human gait |
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Authors: | Shi-Min Cai Pei-Ling Zhou Hui-Jie Yang Tao Zhou Bing-Hong Wang Fang-Cui Zhao |
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Affiliation: | 1. Department of Electronic Science and Technology, University of Science and Technology of China, Hefei, Anhui 230026, PR China;2. Department of Modern Physics, University of Science and Technology of China, Hefei, Anhui 230026, PR China;3. College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100022, PR China |
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Abstract: | In this paper, the diffusion entropy technique is applied to investigate the scaling behavior of stride interval fluctuations of human gait. The scaling behaviors of the stride interval of human walking at norm, slow, and fast rate are similar; with the scale-invariance exponents in the interval [0.663,0.955], of which the mean value is 0.821±0.011. Dynamical analysis of these stride interval fluctuations reveals a self-similar pattern: fluctuation at one time scale are statistically similar to those at multiple other time scales, at least over hundreds of steps, while the healthy subjects walk at their norm rate. The long-range correlations are observed during the spontaneous walking by removal of the trend in the time series with Fourier filter. These findings uncover that the fractal dynamics of stride interval fluctuation of human gait are normally intrinsic to the locomotor systems. |
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Keywords: | Diffusion entropy analysis Self-similarity Long-range correlation Stride interval fluctuation of human gait |
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