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居家养老的家庭监测技术:范围综述

In-Home Monitoring Technology for Aging in Place: Scoping Review.

作者信息

Kim Daejin, Bian Hongyi, Chang Carl K, Dong Liang, Margrett Jennifer

机构信息

Department of Interior Design, Iowa State University, Ames, IA, United States.

Department of Computer Science, Iowa State University, Ames, IA, United States.

出版信息

Interact J Med Res. 2022 Sep 1;11(2):e39005. doi: 10.2196/39005.

Abstract

BACKGROUND

For successful aging-in-place strategy development, in-home monitoring technology is necessary as a new home modification strategy. Monitoring an older adult's daily physical activity at home can positively impact their health and well-being by providing valuable information about functional, cognitive, and social health status. However, it is questionable how these in-home monitoring technologies have changed the traditional residential environment. A comprehensive review of existing research findings should be utilized to characterize recent relative technologies and to inform design considerations.

OBJECTIVE

The main purpose of this study was to classify recent smart home technologies that monitor older adults' health and to architecturally describe these technologies as they are used in older adults' homes.

METHODS

The scoping review method was employed to identify key characteristics of in-home monitoring technologies for older adults. In June 2021, four databases, including Web of Science, IEEE Xplore, ACM Digital Library, and Scopus, were searched for peer-reviewed articles pertaining to smart home technologies used to monitor older adults' health in their homes. We used two search strings to retrieve articles: types of technology and types of users. For the title, abstract, and full-text screening, the inclusion criteria were original and peer-reviewed research written in English, and research on monitoring, detecting, recognizing, analyzing, or tracking human physical, emotional, and social behavior. The exclusion criteria included theoretical, conceptual, or review papers; studies on wearable systems; and qualitative research.

RESULTS

This scoping review identified 30 studies published between June 2016 and 2021 providing overviews of in-home monitoring technologies, including (1) features of smart home technologies and (2) sensor locations and sensor data. First, we found six functions of in-home monitoring technology among the reviewed papers: daily activities, abnormal behaviors, cognitive impairment, falls, indoor person positioning, and sleep quality. Most of the research (n=27 articles) focused on functional monitoring and analysis, such as activities of daily living, instrumental activities of daily living, or falls among older adults; a few studies (n=3) covered social interaction monitoring. Second, this scoping review also found 16 types of sensor technologies. The most common data types encountered were passive infrared motion sensors (n=21) and contact sensors (n=19), which were used to monitor human behaviors such as bodily presence and time spent on activities. Specific locations for each sensor were also identified.

CONCLUSIONS

This wide-ranging synthesis demonstrates that in-home monitoring technologies within older adults' homes play an essential role in aging in place, in that the technology monitors older adults' daily activities and identifies various health-related issues. This research provides a key summarization of in-home monitoring technologies that can be applied in senior housing for successful aging in place. These findings will be significant when developing home modification strategies or new senior housing.

摘要

背景

为了成功制定就地养老策略,家庭监测技术作为一种新的家居改造策略是必要的。通过提供有关功能、认知和社会健康状况的有价值信息,在家中监测老年人的日常身体活动可以对他们的健康和幸福产生积极影响。然而,这些家庭监测技术如何改变传统居住环境仍值得怀疑。应利用对现有研究结果的全面综述来描述近期相关技术,并为设计考虑提供参考。

目的

本研究的主要目的是对近期监测老年人健康的智能家居技术进行分类,并从建筑学角度描述这些技术在老年人家庭中的应用情况。

方法

采用范围综述方法来确定用于老年人的家庭监测技术的关键特征。2021年6月,在包括科学网、IEEE Xplore、ACM数字图书馆和Scopus在内的四个数据库中搜索了与用于在家中监测老年人健康的智能家居技术相关的同行评审文章。我们使用两个搜索字符串来检索文章:技术类型和用户类型。对于标题、摘要和全文筛选,纳入标准是用英语撰写的原创且经过同行评审的研究,以及关于监测、检测、识别、分析或跟踪人类身体、情感和社会行为的研究。排除标准包括理论、概念或综述论文;可穿戴系统研究;以及定性研究。

结果

这项范围综述确定了2016年6月至2021年期间发表的30项研究,这些研究概述了家庭监测技术,包括(1)智能家居技术的特征和(2)传感器位置及传感器数据。首先,我们在所审查的论文中发现了家庭监测技术的六项功能:日常活动、异常行为、认知障碍、跌倒、室内人员定位和睡眠质量。大多数研究(n = 27篇文章)集中在功能监测和分析上,例如老年人的日常生活活动、工具性日常生活活动或跌倒;少数研究(n = 3篇)涉及社会互动监测。其次,这项范围综述还发现了16种传感器技术。最常见的数据类型是被动红外运动传感器(n = 21)和接触传感器(n = 19),它们用于监测诸如身体存在和活动时间等人类行为。还确定了每个传感器的具体位置。

结论

这项广泛的综合研究表明,老年人家庭中的家庭监测技术在就地养老中起着至关重要的作用,因为该技术监测老年人的日常活动并识别各种与健康相关的问题。这项研究提供了可应用于老年住房以实现成功就地养老的家庭监测技术的关键总结。这些发现对于制定家居改造策略或新建老年住房将具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f539/9478817/a17f5aceb244/ijmr_v11i2e39005_fig1.jpg

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