一种帕金森患者行走步态的非线性特征分析  

A kind of nonlinear gait characteristic analysis in patients with Parkinson's disease

作　　者：王振[1,2] 程楠[2,3] 陈炜[4] 许胜强 杨先军[2] 

机构地区：[1]安徽大学电子信息工程学院,安徽合肥230601 [2]中国科学院合肥智能机械研究所,安徽合肥230031 [3]安徽中医药大学神经病学研究所附属医院,安徽合肥230061 [4]安徽省体育局体育科学技术研究所,安徽合肥230001

出　　处：《安徽大学学报（自然科学版）》2016年第5期65-72,共8页Journal of Anhui University(Natural Science Edition)

基　　金：安徽省科技攻关计划项目(1301042215;1501021042);国家科技支撑计划项目(2013BAH14F01)

摘　　要：鉴于医师对帕金森患者病情严重程度的诊断存在一定的主观性,使其无法对患者进行更加有效的治疗,提出一种基于帕金森患者行走步态的非线性特征的客观定量分析方法.利用去趋势波动分析法和重复周期密度熵,对正常青年人、正常老年人以及老年帕金森患者的行走步态信号中的地面反作用力信息进行定量非线性分析,然后将所提方法的参数与传统时域参数进行相关性对比分析.实验结果表明:帕金森患者与正常人相比较,二者的步态信号在稳定性、长程相关性和重复周期性方面均有显著差别.研究结果能为帕金森患者病情的分级评估以及诊断康复,提供一种简单有效的指导方法.In view of the subjectivity of the physician＇s diagnosis of Parkinson＇s patients with different conditions, we proposed an ob）ective quantitative analysis method of nonlinear characteristics based on gait signal in Parkinson＇s patients. Firstly, two nonlinear quantitative analysis methods, detrended fluctuation analysis and recurrence period density entropy, were used to analyze the ground reaction force gait signal of healthy young people, healthy old people and elderly Parkinson＇ s patients. Then the characteristics of proposed methods and some of the classical time-domain characteristics were compared by statistical correlation analysis. The experiment results showed that gait signal between Parkinson＇s patients and the normal person had significant differences in stability, long-range correlation and periodicity. It indicated that this study provided a simple and effective method for classification evaluation, diagnosis and rehabilitation of Parkinson＇s disease.

关 键 词：地面反作用力 去趋势波动分析 标度指数 重复周期密度熵 相关性系数 

分 类 号：O156[理学—数学]