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基于雷达的智能传感器,用于在安闲辅助生活应用中进行非干扰性老年人监测。

A Radar-Based Smart Sensor for Unobtrusive Elderly Monitoring in Ambient Assisted Living Applications.

机构信息

National Research Council of Italy, Institute for Microelectronics and Microsystems, 73100 Lecce, Italy

出版信息

Biosensors (Basel). 2017 Nov 24;7(4):55. doi: 10.3390/bios7040055.

Abstract

Continuous in-home monitoring of older adults living alone aims to improve their quality of life and independence, by detecting early signs of illness and functional decline or emergency conditions. To meet requirements for technology acceptance by seniors (unobtrusiveness, non-intrusiveness, and privacy-preservation), this study presents and discusses a new smart sensor system for the detection of abnormalities during daily activities, based on ultra-wideband radar providing rich, not privacy-sensitive, information useful for sensing both cardiorespiratory and body movements, regardless of ambient lighting conditions and physical obstructions (through-wall sensing). The radar sensing is a very promising technology, enabling the measurement of vital signs and body movements at a distance, and thus meeting both requirements of unobtrusiveness and accuracy. In particular, impulse-radio ultra-wideband radar has attracted considerable attention in recent years thanks to many properties that make it useful for assisted living purposes. The proposed sensing system, evaluated in meaningful assisted living scenarios by involving 30 participants, exhibited the ability to detect vital signs, to discriminate among dangerous situations and activities of daily living, and to accommodate individual physical characteristics and habits. The reported results show that vital signs can be detected also while carrying out daily activities or after a fall event (post-fall phase), with accuracy varying according to the level of movements, reaching up to 95% and 91% in detecting respiration and heart rates, respectively. Similarly, good results were achieved in fall detection by using the micro-motion signature and unsupervised learning, with sensitivity and specificity greater than 97% and 90%, respectively.

摘要

对独居老年人进行持续的居家监测旨在通过早期发现疾病和功能下降或紧急情况来提高他们的生活质量和独立性。为了满足老年人对技术接受的要求(不引人注意、不干扰和保护隐私),本研究提出并讨论了一种新的智能传感器系统,用于检测日常活动中的异常情况,该系统基于超宽带雷达,提供丰富的、不涉及隐私的信息,可用于感知心肺功能和身体运动,而不受环境照明条件和物理障碍物的影响(穿墙感应)。雷达感应是一项很有前途的技术,能够在远距离测量生命体征和身体运动,从而满足不引人注意和准确性的要求。特别是,脉冲无线电超宽带雷达由于具有许多使其适用于辅助生活目的的特性,近年来引起了相当大的关注。所提出的传感系统在有意义的辅助生活场景中进行了评估,涉及 30 名参与者,展示了检测生命体征、区分危险情况和日常生活活动以及适应个人身体特征和习惯的能力。报告的结果表明,即使在进行日常活动或跌倒事件后(跌倒后阶段),也可以检测到生命体征,其准确性根据运动水平而变化,呼吸和心率的检测准确率分别达到 95%和 91%。同样,通过使用微运动特征和无监督学习,在跌倒检测方面也取得了良好的结果,灵敏度和特异性分别大于 97%和 90%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eef6/5746778/ab993ce9e333/biosensors-07-00055-g001.jpg

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