Toyama Prefectural University, Japan.
Toyama College of Welfare Science, Japan.
Health Informatics J. 2021 Jan-Mar;27(1):1460458221990051. doi: 10.1177/1460458221990051.
This paper presents a Doppler radar apathy-screening technique applied to elderly people based on their basic daily activities of walking and movements of sit-to-stand and stand-to-sit (STS). Our Doppler radar system remotely measured the kinematic parameters of the movements of 78 community-dwelling elderly adults (27 apathetic participants and 51 non-apathetic ones). Subsequently, logistic regression models using the measured kinematic parameters of gait and sit-to-stand/stand-to-sit movements were constructed for screening. The experimental results verified that, although the model using gait parameters could screen an apathetic group with a sensitivity of 85.2% and a specificity of 58.8%, the model using the STS parameters achieved better screening accuracies with a sensitivity of 88.9% and a specificity of 76.5%. These results reveal that the kinematic information of STS movements is significantly more effective at detecting apathy than is the gait information, which is otherwise regarded to be effective in conventional epidemiological studies.
本论文提出了一种基于老年人基本日常活动(行走以及坐站和站坐转换)的多普勒雷达淡漠筛查技术。我们的多普勒雷达系统远程测量了 78 名居住在社区的老年人(27 名淡漠参与者和 51 名非淡漠参与者)的运动运动学参数。随后,构建了使用步态和坐站/站坐运动测量运动学参数的逻辑回归模型进行筛查。实验结果验证了,虽然使用步态参数的模型可以以 85.2%的灵敏度和 58.8%的特异性筛查出淡漠组,但使用 STS 参数的模型的筛查准确率更高,灵敏度为 88.9%,特异性为 76.5%。这些结果表明,STS 运动的运动学信息在检测淡漠方面比传统流行病学研究中认为有效的步态信息更有效。