用于医学诊断和康复的自动支持步态分析方法综述

A. Michalczuk, Kamil Wereszczynski, A. Świtoński, Henryk Josiński, K. Wojciechowski
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引用次数: 2

摘要

在本文中,我们介绍了步态分析方法用于医疗应用的综述。首先,我们介绍了一个实时步态采集系统。其次,介绍了三种步态数据表示方法:轨迹、欧拉角和医学角,以及基于步态指数、动态时间翘曲、流形方法和不同疾病单元最重要关节排序等表示方法的步态分析方法。本文还介绍了上述方法的一些结果,总结了我们的研究并讨论了未来的计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The overview of automatically supported gait analysis methods for medical diagnoses and rehabilitation
In this paper we present a review of gait analysis methods used for medical applications. First of all, we introduce a system of real-time gait acquisition. Next, three ways of gait data representation: trajectories, Euler angles and medical angles are described along with the most promising methods of gait analysis based on those representations like gait indices, Dynamic Time Warping, manifold methods and a ranking of most significant joints for different disease units. We present also some results of the aforementioned methods, summarize our research and discuss future plans.
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