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仪器化公寓监测人类行为:NeuroTec 阁楼中的试点案例研究。

An Instrumented Apartment to Monitor Human Behavior: A Pilot Case Study in the NeuroTec Loft.

机构信息

Gerontechnology & Rehabilitation Group, ARTORG Centre for Biomedical Engineering Research, University of Bern, 3012 Bern, Switzerland.

Department of Neurology, Inselspital, Bern University Hospital, University of Bern, 3012 Bern, Switzerland.

出版信息

Sensors (Basel). 2022 Feb 20;22(4):1657. doi: 10.3390/s22041657.

Abstract

For patients suffering from neurodegenerative disorders, the behavior and activities of daily living are an indicator of a change in health status, and home-monitoring over a prolonged period of time by unobtrusive sensors is a promising technology to foster independent living and maintain quality of life. The aim of this pilot case study was the development of a multi-sensor system in an apartment to unobtrusively monitor patients at home during the day and night. The developed system is based on unobtrusive sensors using basic technologies and gold-standard medical devices measuring physiological (e.g., mobile electrocardiogram), movement (e.g., motion tracking system), and environmental parameters (e.g., temperature). The system was evaluated during one session by a healthy 32-year-old male, and results showed that the sensor system measured accurately during the participant's stay. Furthermore, the participant did not report any negative experiences. Overall, the multi-sensor system has great potential to bridge the gap between laboratories and older adults' homes and thus for a deep and novel understanding of human behavioral and neurological disorders. Finally, this new understanding could be utilized to develop new algorithms and sensor systems to address problems and increase the quality of life of our aging society and patients with neurological disorders.

摘要

对于患有神经退行性疾病的患者来说,行为和日常生活活动是健康状况变化的指标,通过非侵入性传感器进行长时间的家庭监测是促进独立生活和维持生活质量的一项有前途的技术。本试点案例研究的目的是开发一种公寓内的多传感器系统,以便在白天和晚上对在家中的患者进行非侵入性监测。所开发的系统基于使用基本技术和黄金标准医疗设备测量生理(例如,移动心电图)、运动(例如,运动跟踪系统)和环境参数(例如,温度)的非侵入性传感器。该系统在一名健康的 32 岁男性的一次会议期间进行了评估,结果表明传感器系统在参与者逗留期间准确地进行了测量。此外,参与者没有报告任何负面体验。总体而言,多传感器系统具有很大的潜力,可以弥合实验室和老年人家庭之间的差距,从而深入了解人类行为和神经障碍。最后,这种新的认识可以用来开发新的算法和传感器系统,以解决问题并提高我们老龄化社会和神经障碍患者的生活质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aad3/8875023/f6b4cf54701a/sensors-22-01657-g001.jpg

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