Chau T
Bloorview MacMillan Centre, 350 Rumsey Road, Toronto, Ontario, Canada M4G 1R8.
Gait Posture. 2001 Feb;13(1):49-66. doi: 10.1016/s0966-6362(00)00094-1.
In recent years, several new approaches to gait data analysis have been explored, including fuzzy systems, multivariate statistical techniques and fractal dynamics. Through a critical survey of recent gait studies, this paper reviews the potential of these methods to strengthen the gait laboratory's analytical arsenal. It is found that time-honoured multivariate statistical methods are the most widely applied and understood. Although initially promising, fuzzy and fractal analyses of gait data remain largely unknown and their full potential is yet to be realized. The trend towards fusing multiple techniques in a given analysis means that additional research into the application of these two methods will benefit gait data analysis.
近年来，人们探索了几种新的步态数据分析方法，包括模糊系统、多元统计技术和分形动力学。通过对近期步态研究的批判性综述，本文回顾了这些方法在增强步态实验室分析手段方面的潜力。结果发现，历史悠久的多元统计方法应用最为广泛且易于理解。尽管步态数据的模糊分析和分形分析最初很有前景，但在很大程度上仍不为人所知，其全部潜力尚未实现。在给定分析中融合多种技术的趋势意味着，对这两种方法应用的进一步研究将有利于步态数据分析。
