Quantitative gait measurement with pulse-Doppler radar for passive in-home gait assessment.

Quantitative gait measurement with pulse-Doppler radar for passive in-home gait assessment.
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DOI:
10.1109/tbme.2014.2319333
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发表时间:
2014-09
期刊:
IEEE transactions on bio-medical engineering
影响因子:
--
通讯作者:
Cuddihy PE
Cuddihy PE
中科院分区:
其他
文献类型:
--
作者:
Wang F;Skubic M;Rantz M;Cuddihy PE

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在本文中,我们提出了一种用于老年人家庭步态评估的脉冲多普勒雷达系统。提出了一种利用多普勒雷达提取步态参数的方法,包括步行速度和步长。步态参数已在实验室用Vicon运动捕捉系统进行了验证,13名参与者进行了158次测试。研究表明,为了获得最佳的步伐识别和步行速度估计,需要设置双雷达,其中一个雷达放置在脚水平,另一个放置在躯干水平。用足部雷达进行步长时间估计,其类内相关系数为0.97,绝对一致性很好。对于行走速度,尽管两种雷达都表现出出色的一致性,但由于行走方向相对于雷达波束,它们与地面真实值相比都有系统偏移。与足部雷达(13%-18%偏移)相比,躯干水平雷达在速度估计上有更好的性能(平均9%偏移)。对引起系统误差的角度进行了定量分析。这些实验结果表明,该系统可以作为家庭环境中的日常步态评估工具,用于跌倒风险评估和其他医疗保健应用。该系统目前正在一个非结构化的家庭环境中进行测试。
In this paper, we propose a pulse-Doppler radar system for in-home gait assessment of older adults. A methodology has been developed to extract gait parameters including walking speed and step time using Doppler radar. The gait parameters have been validated with a Vicon motion capture system in the lab with 13 participants and 158 test runs. The study revealed that for an optimal step recognition and walking speed estimation, a dual radar set up with one radar placed at foot level and the other at torso level is necessary. An excellent absolute agreement with intraclass correlation coefficients of 0.97 was found for step time estimation with the foot level radar. For walking speed, although both radars show excellent consistency they all have a system offset compared to the ground truth due to walking direction with respect to the radar beam. The torso level radar has a better performance (9% offset on average) in the speed estimation compared to the foot level radar (13%–18% offset). Quantitative analysis has been performed to compute the angles causing the systematic error. These lab results demonstrate the capability of the system to be used as a daily gait assessment tool in home environments, useful for fall risk assessment and other health care applications. The system is currently being tested in an unstructured home environment.