Classification of gait patterns in the time-frequency domain
Classification of gait patterns in the time-frequency domain
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DOI：
10.1016/j.jbiomech.2005.08.014
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发表时间：
2006-01-01
影响因子：
2.4
通讯作者：
Sitoh, Y. Y.
中科院分区：
文献类型：
--
作者：
Nyan, M. N.;Tay, F. E. H.;Sitoh, Y. Y.
本文利用设置在服装肩部前后方向和垂直方向的加速度计对上下楼梯和水平行走活动的步态模式进行了分类。连续加速度计记录的步态模式分为两步。第一步，利用离散二进小波系数的直接空间相关性对连续加速度计记录中的步态模式片段进行分离；与参考系统相比，上楼梯和下楼梯的平均绝对误差分别为0.387 s和0.404 s。上楼梯的总体敏感性和特异性分别为98.79%和99.52%，下楼梯的总体敏感性和特异性分别为97.35%和99.62%。第二步，将垂直加速度信号和前后加速度信号分离片段的2 s时长的小波系数幂作为特征进行分类。我们的研究结果证明了一种测量身体活动时步态模式的可靠技术。(c) 2005 Elsevier Ltd版权所有。
This paper describes the classification of gait patterns among descending stairs, ascending stairs and level walking activities using accelerometers arranged in antero-posterior and vertical direction on the shoulder of a garment. Gait patterns in continuous accelerometer records were classified in two steps. In the first step, direct spatial correlation of discrete dyadic wavelet coefficients was applied to separate the segments of gait patterns in the continuous accelerometer record. Compared to the reference system, averaged absolute error 0.387 s for ascending stairs and 0.404 s for descending stairs were achieved. The overall sensitivity and specificity of ascending stairs were 98.79% and 99.52%, and those of descending stairs were 97.35% and 99.62%. In the second step, powers of wavelet coefficients of 2 s time duration from separated segments of vertical and antero-posterior acceleration signals were used as features in classification. Our results proved a reliable technique of measuring gait patterns during physical activity. (c) 2005 Elsevier Ltd. All rights reserved.