Chester Victoria L, Tingley Maureen, Biden Edmund N
Faculty of Kinesiology, Institute of Biomedical Engineering, University of New Brunswick, Fredericton, NB, E3B 5A3, Canada.
Dyn Med. 2007 Jul 17;6:8. doi: 10.1186/1476-5918-6-8.
The availability of age-matched normative data is an essential component of clinical gait analyses. Comparison of normative gait databases is difficult due to the high-dimensionality and temporal nature of the various gait waveforms. The purpose of this study was to provide a method of comparing the sagittal joint angle data between two normative databases. We compared a modern gait database to the historical San Diego database using statistical classifiers developed by Tingley et al. (2002). Gait data were recorded from 60 children aged 1-13 years. A six-camera Vicon 512 motion analysis system and two force plates were utilized to obtain temporal-spatial, kinematic, and kinetic parameters during walking. Differences between the two normative data sets were explored using the classifier index scores, and the mean and covariance structure of the joint angle data from each lab. Significant differences in sagittal angle data between the two databases were identified and attributed to technological advances and data processing techniques (data smoothing, sampling, and joint angle approximations). This work provides a simple method of database comparison using trainable statistical classifiers.
年龄匹配的标准数据的可用性是临床步态分析的一个重要组成部分。由于各种步态波形的高维度和时间特性,比较标准步态数据库很困难。本研究的目的是提供一种比较两个标准数据库之间矢状关节角度数据的方法。我们使用廷利等人(2002年)开发的统计分类器,将一个现代步态数据库与历史悠久的圣地亚哥数据库进行了比较。记录了60名1至13岁儿童的步态数据。使用六台摄像机的Vicon 512运动分析系统和两个测力板来获取步行过程中的时空、运动学和动力学参数。使用分类器指数分数以及每个实验室关节角度数据的均值和协方差结构,探索了两个标准数据集之间的差异。确定了两个数据库之间矢状角数据存在显著差异,并将其归因于技术进步和数据处理技术(数据平滑、采样和关节角度近似)。这项工作提供了一种使用可训练统计分类器进行数据库比较的简单方法。