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基于小波变换分析的家用步态特征多普勒雷达系统。

Doppler Radar System for In-Home Gait Characterization using Wavelet Transform Analysis.

作者信息

Soubra Racha, Chkeir Aly, Mourad-Chehade Farah, Alshamaa Daniel

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:6081-6084. doi: 10.1109/EMBC.2019.8856520.

DOI:10.1109/EMBC.2019.8856520
PMID:31947232
Abstract

The evaluation of walking speed plays an important role in gerontology as it reflects the health and functional status of older people. In this paper, we propose the use of a Doppler radar system with continuous wavelet transform (CWT) analysis for in-home gait characterization. A methodology based on an accurate 3D motion-capture camera system (Vicon) has been developed in order to validate the suitable mother wavelet. The CWT analysis with several mother wavelets has been applied to our experimental Doppler radar signals. The Pearson Correlation coefficient (ρ) has been computed between the gait speed signals obtained from the radar and those obtained from the Vicon system. Our outcomes suggest the use of Daubechies5 and Symlets7 wavelets giving a ρ values of 0.86 and 0.85 respectively with a mean square error value less than 0.05 m/s in comparison with the correct gait speed value.

摘要

步行速度的评估在老年学中起着重要作用,因为它反映了老年人的健康和功能状况。在本文中,我们提出使用具有连续小波变换(CWT)分析的多普勒雷达系统来进行居家步态特征描述。为了验证合适的母小波,已经开发了一种基于精确三维运动捕捉相机系统(Vicon)的方法。对几个母小波进行的连续小波变换分析已应用于我们的实验多普勒雷达信号。计算了从雷达获得的步态速度信号与从Vicon系统获得的步态速度信号之间的皮尔逊相关系数(ρ)。我们的结果表明,使用Daubechies5和Symlets7小波,与正确的步态速度值相比,ρ值分别为0.86和0.85,均方误差值小于0.05 m/s。

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