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物联网可穿戴传感器和设备在老年护理中的应用:文献综述。

IoT Wearable Sensors and Devices in Elderly Care: A Literature Review.

机构信息

Centre for Research & Technology Hellas, Information Technologies Institute, 6th Km Charilaou-Thermi, 57001 Thessaloniki, Greece.

出版信息

Sensors (Basel). 2020 May 16;20(10):2826. doi: 10.3390/s20102826.

Abstract

The increasing ageing global population is causing an upsurge in ailments related to old age, primarily dementia and Alzheimer's disease, frailty, Parkinson's, and cardiovascular disease, but also a general need for general eldercare as well as active and healthy ageing. In turn, there is a need for constant monitoring and assistance, intervention, and support, causing a considerable financial and human burden on individuals and their caregivers. Interconnected sensing technology, such as IoT wearables and devices, present a promising solution for objective, reliable, and remote monitoring, assessment, and support through ambient assisted living. This paper presents a review of such solutions including both earlier review studies and individual case studies, rapidly evolving in the last decade. In doing so, it examines and categorizes them according to common aspects of interest such as health focus, from specific ailments to general eldercare; IoT technologies, from wearables to smart home sensors; aims, from assessment to fall detection and indoor positioning to intervention; and experimental evaluation participants duration and outcome measures, from acceptability to accuracy. Statistics drawn from this categorization aim to outline the current state-of-the-art, as well as trends and effective practices for the future of effective, accessible, and acceptable eldercare with technology.

摘要

随着全球人口老龄化的加剧,与老年病相关的疾病发病率也在上升,主要包括痴呆症和阿尔茨海默病、虚弱、帕金森病和心血管疾病,但也需要对老年人进行一般护理以及促进老年人积极健康地生活。这反过来又需要不断地监测和提供帮助、干预和支持,这给个人及其护理人员带来了相当大的经济和人力负担。物联网可穿戴设备和其他设备等互联感测技术为通过智能辅助生活进行客观、可靠和远程监测、评估和支持提供了有希望的解决方案。本文综述了这些解决方案,包括近十年来的早期综述研究和个别案例研究。为此,它根据共同的关注点(如健康重点、从特定疾病到一般老年护理;物联网技术、从可穿戴设备到智能家居传感器;目标,从评估到跌倒检测和室内定位到干预;以及实验评估参与者的持续时间和结果测量,从可接受性到准确性)对它们进行了检查和分类。从这种分类中得出的统计数据旨在概述当前的最新技术,以及未来有效、可访问和可接受的技术型老年护理的趋势和有效实践。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a3e/7288187/f843e0c7c68b/sensors-20-02826-g001.jpg

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