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A review on the coordinative structure of human walking and the application of principal component analysis

A review on the coordinative structure of human walking and the application of principal component analysis

作     者:Xinguang Wang Nicholas O'Dwyer Mark Halaki 

作者机构:Discipline of Exercise and Sport Science The University of Sydney School of Science and Health The University of Western Sydney School of Human Movement Studies Charles Sturt University 

出 版 物:《Neural Regeneration Research》 (中国神经再生研究(英文版))

年 卷 期:2013年第8卷第7期

页      面:662-670页

核心收录:

学科分类:0831[工学-生物医学工程(可授工学、理学、医学学位)] 08[工学] 0836[工学-生物工程] 

主  题:neural regeneratJon reviews human walking coordinative structure pattern, synergy principalcomponent analysis dimension reduction gender walking speed correlation linear systemanalysis coherence neuroregeneration 

摘      要:Walking is a complex task which includes hundreds of muscles, bones and joints working together to deliver smooth movements. With the complexity, walking has been widely investigated in order to identify the pattern of multi-segment movement and reveal the control mechanism. The degree of freedom and dimensional properties provide a view of the coordinative structure during walking, which has been extensively studied by using dimension reduction technique. In this paper, the studies related to the coordinative structure, dimensions detection and pattern reorganization during walking have been reviewed. Principal component analysis, as a popular technique, is widely used in the processing of human movement data. Both the principle and the outcomes of principal component analysis were introduced in this paper. This technique has been reported to successfully reduce the redundancy within the original data, identify the physical meaning represented by the extracted principal components and discriminate the different patterns. The coordinative structure during walking assessed by this technique could provide further information of the body control mechanism and correlate walking pattern with injury.

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