基于扩散熵的平衡估计的儿童行走序列研究  

Balanced Estimation of Diffusion Entropy Based on Study of Children's Walking Series

作　　者：严捷冰[1] 杨会杰[1] 

机构地区：[1]上海理工大学管理学院,上海200093

出　　处：《上海理工大学学报》2014年第2期147-153,共7页Journal of University of Shanghai For Science and Technology

基　　金：国家自然科学基金资助项目(10975099;10635040);上海市一流学科建设资助项目(XTKX2012)

摘　　要：基于扩散熵的平衡估计,评估了儿童步态间隔时间序列的分形指数,并讨论了其动力学机制.研究结果表明,儿童行走序列的分形指数与年龄之间并没有明确的关系,少数样本没有长程相关性或者具有离散的长程相关性.此外,扩散熵的平衡估计与去趋势波动分析的比较结果显示,部分样本符合Levy行走过程而并非分数布朗运动.Long-range correlations embedded in stride series were evaluated by means of balanced estimation of diffusion entropy. The results show that there is no statistically monotonical relation between the long-range correlation and the age. Especially, one cannot find long-range correlation characteristics in some samples. The comparison between the results of balanced estimation of diffusion entropy and detrended fluctuation analysis shows that some samples may obey Levy walk processes, instead of fractional Brownian motions.

关 键 词：跨步时间变异性 分形指数 去趋势波动分析 扩散熵的平衡估计 

分 类 号：N941[自然科学总论—系统科学]