Nonlinear Time-Series Analysis of Different Human Walking Gaits

被引：0
|
作者：
Iqbal, Sajid [1 ]
Zang, Xizhe [1 ]
Zhu, Yanhe [1 ]
Saad, Hanadi Mohammed Abass Ali [1 ]
Zhao, Jie [1 ]
机构：
[1] Harbin Inst Technol, Harbin, Heilongjiang, Peoples R China
来源：
2015 IEEE INTERNATIONAL CONFERENCE ON ELECTRO/INFORMATION TECHNOLOGY (EIT) | 2015年
关键词：
Chaos; dynamical systems; legged locomotion; nonlinear time-series analysis; state-space reconstruction; time-delay embedding; DYNAMICS; FLUCTUATIONS;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Human locomotion is a complex nonlinear process, which researchers have started to analyze using nonlinear dynamics analysis. This study investigates and quantifies the chaotic dynamics of walking gaits using different tools of nonlinear time-series analysis. The application of nonlinear dynamics techniques to gait cycle sequences may unveil the complexity of the human walking. For the walking gaits, calculated Lyapunov exponents and fractal dimensions suggested chaotic dynamics, which are intrinsic to human locomotor system. Such studies may open new avenues for research in gait pathologies and highlight the application of chaotic time-series analysis for examining physiological data.
引用
收藏
页码：25 / 30
页数：6
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