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训练对于步伐周期长程相关性的影响研究
引用本文:李鹏斐,李孟君,陈曦,李孟轩,唐凯.训练对于步伐周期长程相关性的影响研究[J].北京理工大学学报,2016,36(2):148-152.
作者姓名:李鹏斐  李孟君  陈曦  李孟轩  唐凯
作者单位:北京理工大学机电工程与控制国家级重点实验室,北京,100081;北京理工大学机电工程与控制国家级重点实验室,北京,100081;北京理工大学机电工程与控制国家级重点实验室,北京,100081;北京理工大学机电工程与控制国家级重点实验室,北京,100081;北京理工大学机电工程与控制国家级重点实验室,北京,100081
基金项目:国家自然科学基金资助项目(51407009)
摘    要:为研究普通人群和受训人群步伐特征的差异,设计静电探测器对两种不同人群样本踏步静电信号进行采集,采用消除波动趋势分析法对步伐周期及其相关序列进行分析,研究步伐训练对于步伐相关性的影响. 研究结果表明,步伐训练使受训人员比普通人员的步伐周期增量幅度序列具有更强的长程相关性,而符号序列具有更强的长程反相关性. 

关 键 词:步伐静电信号  步伐周期  消除趋势波动分析  步伐训练  长程相关性
收稿时间:2015/6/19 0:00:00

Impact of Training on Long-Range Correlation of Gait Cycle
LI Peng-fei,LI Meng-jun,CHEN Xi,LI Meng-xuan and TANG Kai.Impact of Training on Long-Range Correlation of Gait Cycle[J].Journal of Beijing Institute of Technology(Natural Science Edition),2016,36(2):148-152.
Authors:LI Peng-fei  LI Meng-jun  CHEN Xi  LI Meng-xuan and TANG Kai
Institution:State Key Laboratory of Mechatronical Engineering and Control, Beijing Institute of Technology, Beijing 100081, China
Abstract:In order to study the difference of gait cycle characteristic between ordinary people and trained people, human gait signal was measured by an electrostatic sensor instead of accelerometer. Self correlation algorithm was applied to obtain the gait cycle series, further to calculate the increment series. The increment series was decomposed into magnitude series and sign series. A detrended fluctuation analysis algorithm was applied to analyze these series for 5 subjects without training and 5 others trained. It is found that the magnitude series of trained subjects show stronger long-range correlation than those without training, and the sign series of trained subjects show stronger long-range anti-correlation than the other.
Keywords:electrostatic gait signal  gait cycle  detrended fluctuation analysis  gait training  long-range correlation
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