Recurrence Plot and Recurrence Quantification Analysis of Human Gait Complexity

doi:10.7652/xjtuxb201710008

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Recurrence Plot and Recurrence Quantification Analysis of Human Gait Complexity

更新时间：2025-07-09

- Recurrence Plot and Recurrence Quantification Analysis of Human Gait Complexity
- Vol. 51, Issue 10, Pages: 47-52+70(2017)
- 作者机构：
  
  西安交通大学机械制造系统工程国家重点实验室,西安,710049
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb201710008
  CLC： N93;R318.04
- Online First：10 October 2017，
  
  Published：2017
- 稿件说明：
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Recurrence Plot and Recurrence Quantification Analysis of Human Gait Complexity[J]. 2017, 51(10): 47-52+70.
DOI：

Recurrence Plot and Recurrence Quantification Analysis of Human Gait Complexity[J]. 2017, 51(10): 47-52+70. DOI： 10.7652/xjtuxb201710008.

摘要

为了准确分辨并识别不同人体的步态特征

提出采用递归图和递归定量分析的方法

计算人体步态非线性时间序列的复杂度。首先利用互信息和伪邻近法分别计算得到合适的延时时间和嵌入维数

根据相空间重构的原理将一维时间序列扩展到高维相空间中

获得时间序列在高维空间中邻近点的分布规律和运动特点。构建了患有帕金森疾病的老年人、健康老年人和健康年轻人的步态信号递归图

可以直观定性分析和评估这3组人群的步态信号的空间分布程度

其中健康人群最复杂。采用递归定量分析

量化了人体步态的复杂度

结果表明

患有帕金森疾病的人群的步态复杂度最小

而且独立样本t检验显示了3组人群的复杂度具有显著的差异性。该方法简单可行

可以准确地对不同年龄和帕金森疾病的人群进行分类识别

有利于人体健康监测和诊断研究。

Abstract

To accurately classify and identify different human gait signals

recurrence plot and recurrence quantification analysis are proposed to calculate the complexity of nonlinear time series underlying human gait stride interval. The appropriate delay time and embedding dimension are respectively calculated by methods of the mutual information and the false nearest neighbours. One dimension time series is extended to high dimension phase space by employing phase space reconstruction principle for studying the distribution regularity and movement characteristic of neighboring points in time series. The recurrence plots of gait signals from Parkinson's disease elders

healthy elders and youth are established for intuitively and qualitatively analyzing and evaluating their distribution state. It is observed that the space distribution of healthy subjects is more complex than others. Moreover

the complexity of human gait is quantified by recurrence quantification analysis. The computation results show that gait complexity of subjects with Parkinson's disease is less than healthy youth and elders

and independent sample t-test also exhibits their significant difference for distinct classification. Consequently

the proposed method is easy and feasible for classifying the subjects with different ages and Parkinson's disease. It is also helpful to human health monitoring and diagnosis.

关键词

Keywords

references

SCAFETTA N, MARCHI D, WEST B J. Understanding the complexity of human gait dynamics [J]. Chaos, 2009, 19(2): 6108(1-10).

RAMPP A, BARTH J, SCHÜLEIN S, et al. Inertial sensor-based stride parameter calculation from gait sequences in geriatric patients [J]. IEEE Transactions on Biomedical Engineering, 2015, 62(4): 1089-1097.

AFSAR O, TIRNAKLI U, KURTHS J. Entropy-based complexity measures for gait data of patients with Parkinson's disease [J]. Chaos, 2016, 26(2): 3115.

TOCHIGI Y, SEGAL N A, VASEENON T, et al. Entropy analysis of tri-axial leg acceleration signal waveforms for measurement of decrease of physiological variability in human gait [J]. Journal of Orthopaedic Research, 2012, 30(6): 897-904.

COSTA M, PENG C K, GOLDBERGER A L, et al. Multiscale entropy analysis of human gait dynamics [J]. Physica: A, 2003, 330(1/2): 53-60.

HAUSDORFF J M, MITCHELL S L, FIRTION R, et al. Altered fractal dynamics of gait: reduced stride-interval correlations with aging and Huntington's disease [J]. Journal of Applied Physiology, 1997, 82(1): 262-269.

GOSHVARPOUR A, GOSHVARPOUR A. Nonlinear analysis of human gait signals [J]. International Journal of Information Engineering and Electronic Business, 2012, 4(2): 15-21.

ECKMANN J P, KAMPHORST S O, RUELL D. Recurrence plots of dynamical systems [J]. Europhysics Letters, 1987, 4(9): 973-977.

ZBILUT J P, WEBBER C L. Embeddings and delays as derived from quantification of recurrence plots [J]. Physics Letters: A, 1992, 171(3/4): 199-203.

SCHMIT J M, RILEY M A, DALVI A, et al. Deterministic center of pressure patterns characterize postural instability in Parkinson's disease [J]. Experimental Brain Research, 2006, 168(3): 357-367.

MOHEBBI M, GHASSEMIAN H, ASL B M. Structures of the recurrence plot of heart rate variability signal as a tool for predicting the onset of paroxysmal atrial fibrillation [J]. Journal of Medical Signals and Sensors, 2011, 1(2): 113-121.

ACHARYA U R, FAUST O, SREE V, et al. Linear and nonlinear analysis of normal and CAD-affected heart rate signals [J]. Computer Methods and Programs in Biomedicine, 2014, 113(1): 55-68.

RANGAPRAKASH D, PRADHAN N. Study of phase synchronization in multichannel seizure EEG using nonlinear recurrence measure [J]. Biomedical Signal Processing and Control, 2014, 11: 114-122.

JOSINSKI H, MICHALCZUK A, MUCHA R, et al. Analysis of human motion data using recurrence plots and recurrence quantification measures [C]∥Asian Lecture Notes in Computer Science: 9622. Berlin, Germany: Springer, 2016: 397-406.

WEBBER C L Jr, ZBILUT J P. Dynamical assessment of physiological systems and states using recurrence plot strategies [J]. Journal of Applied Physiology, 1994, 76(2): 965-973.

WOLF A, SWIFT J B, SWINNEY H L, et al. Determining Lyapunov exponents from a time series [J]. Physica: D Nonlinear Phenomena, 1985, 16(3): 285-317.

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