中国神经再生研究(英文版)

中国神经再生研究(英文版) ›› 2013, Vol. 8 ›› Issue (7): 662-670.doi: 10.3969/j.issn.1673-5374.2013.07.011

• 综述:神经损伤修复保护与再生 • 上一篇    

人体行走的协调结构与主成分分析的应用

  

  • 收稿日期:2012-12-29 修回日期:2013-02-05 出版日期:2013-03-05 发布日期:2013-03-05

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

Xinguang Wang1, 2, Nicholas O’Dwyer1, 3, Mark Halaki1   

  1. 1 Discipline of Exercise and Sport Science, The University of Sydney, Australia
    2 School of Science and Health, The University of Western Sydney, Australia
    3 School of Human Movement Studies, Charles Sturt University, Australia
  • Received:2012-12-29 Revised:2013-02-05 Online:2013-03-05 Published:2013-03-05
  • Contact: Xinguang Wang☆, Ph.D., Discipline of Exercise and Sport Science, The University of Sydney, NSW 2006, Australia, xinguang.wang@ sydney.edu.au; chris.xg.wang@gmail.com.

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摘要：

行走是一项由数百块肌肉、骨骼、关节共同工作才能完成平稳运动的复杂任务。由于其复杂性，为了识别多段运动模式以及展示其控制机制，有关行走的研究调查十分广泛。行走时，自由度和空间性能为协调结构提供了一种方案，而这一点已经采用降维技术广泛研究过了。本论文评估了行走过程中与协调结构、尺寸检测、模式识别的相关研究。主成分分析（PCA）作为一项普遍应用的技术已经在人类运动数据中被广泛使用。本论文对PCA的原理和结论都做了介绍。据报道，这项技术已经成功减少了原始数据中的冗余度，确定了以提取主成分为代表的物理意义，并且区别了不同的模式。这项技术评估了行走时的协调结构，从而为身体控制平衡的能力、行走模式和损伤之间的联系提供了进一步的信息。

关键词: 神经再生, 评论, 人体行走, 协调结构, 模式, 协同效应, 主成分分析, 降维, 性别, 行走速度, 相关性, 线性系统分析, 一致性

Abstract:

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.

Key words: neural regeneration, reviews, human walking, coordinative structure, pattern, synergy, principal component analysis, dimension reduction, gender, walking speed, correlation, linear system analysis, coherence, neuroregeneration