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跌倒检测设备及其在老年人中的应用:一项系统综述

Fall detection devices and their use with older adults: a systematic review.

作者信息

Chaudhuri Shomir, Thompson Hilaire, Demiris George

机构信息

1Department of Biomedical Informatics and Medical Education, University of Washington School of Medicine, Seattle. 2Department of Biobehavioral Nursing and Health, University of Washington School of Nursing, Seattle.

出版信息

J Geriatr Phys Ther. 2014 Oct-Dec;37(4):178-96. doi: 10.1519/JPT.0b013e3182abe779.

Abstract

BACKGROUND

Falls represent a significant threat to the health and independence of adults aged 65 years and older. As a wide variety and large number of passive monitoring systems are currently and increasingly available to detect when individuals have fallen, there is a need to analyze and synthesize the evidence regarding their ability to accurately detect falls to determine which systems are most effective.

OBJECTIVES

The purpose of this literature review is to systematically assess the current state of design and implementation of fall-detection devices. This review also examines to what extent these devices have been tested in the real world as well as the acceptability of these devices to older adults.

DATA SOURCES

A systematic literature review was conducted in PubMed, CINAHL, EMBASE, and PsycINFO from their respective inception dates to June 25, 2013.

STUDY ELIGIBILITY CRITERIA AND INTERVENTIONS

Articles were included if they discussed a project or multiple projects involving a system with the purpose of detecting a fall in adults. It was not a requirement for inclusion in this review that the system targets persons older than 65 years. Articles were excluded if they were not written in English or if they looked at fall risk, fall detection in children, fall prevention, or a personal emergency response device.

STUDY APPRAISAL AND SYNTHESIS METHODS

Studies were initially divided into those using sensitivity, specificity, or accuracy in their evaluation methods and those using other methods to evaluate their devices. Studies were further classified into wearable devices and nonwearable devices. Studies were appraised for inclusion of older adults in sample and if evaluation included real-world settings.

RESULTS

This review identified 57 projects that used wearable systems and 35 projects using nonwearable systems, regardless of evaluation technique. Nonwearable systems included cameras, motion sensors, microphones, and floor sensors. Of the projects examining wearable systems, only 7.1% reported monitoring older adults in a real-world setting. There were no studies of nonwearable devices that used older adults as subjects in either a laboratory or a real-world setting. In general, older adults appear to be interested in using such devices although they express concerns over privacy and understanding exactly what the device is doing at specific times.

LIMITATIONS

This systematic review was limited to articles written in English and did not include gray literature. Manual paper screening and review processes may have been subject to interpretive bias.

CONCLUSIONS AND IMPLICATIONS OF KEY FINDINGS

There exists a large body of work describing various fall-detection devices. The challenge in this area is to create highly accurate unobtrusive devices. From this review it appears that the technology is becoming more able to accomplish such a task. There is a need now for more real-world tests as well as standardization of the evaluation of these devices.

摘要

背景

跌倒对65岁及以上成年人的健康和独立构成重大威胁。由于目前有各种各样且数量众多的被动监测系统可用于检测个人何时跌倒,因此有必要分析和综合关于其准确检测跌倒能力的证据,以确定哪些系统最有效。

目的

本综述的目的是系统评估跌倒检测设备的设计和实施现状。本综述还考察了这些设备在现实世界中的测试程度以及老年人对这些设备的接受程度。

数据来源

在PubMed、CINAHL、EMBASE和PsycINFO数据库中进行了系统文献综述,检索时间从各数据库创建之日至2013年6月25日。

研究入选标准和干预措施

如果文章讨论了一个或多个涉及旨在检测成年人跌倒的系统的项目,则纳入研究。本综述不要求该系统的目标人群为65岁以上的人。如果文章不是用英文撰写,或者研究的是跌倒风险、儿童跌倒检测、跌倒预防或个人应急响应设备,则排除该文章。

研究评估和综合方法

研究最初分为在评估方法中使用敏感性、特异性或准确性的研究以及使用其他方法评估其设备的研究。研究进一步分为可穿戴设备和非可穿戴设备。评估研究是否在样本中纳入了老年人,以及评估是否包括现实世界环境。

结果

本综述确定了57个使用可穿戴系统的项目和35个使用非可穿戴系统的项目,无论评估技术如何。非可穿戴系统包括摄像头、运动传感器、麦克风和地面传感器。在研究可穿戴系统的项目中,只有7.1%报告在现实世界环境中监测老年人。没有关于非可穿戴设备在实验室或现实世界环境中以老年人为受试者的研究。总体而言,老年人似乎有兴趣使用此类设备,尽管他们对隐私以及确切了解设备在特定时间的运行情况表示担忧。

局限性

本系统综述仅限于英文撰写的文章,未包括灰色文献。人工纸质筛选和评审过程可能存在解释性偏差。

关键发现的结论和启示

存在大量描述各种跌倒检测设备的工作。该领域的挑战是创建高度准确且不引人注意的设备。从本综述来看,该技术似乎越来越能够完成这样的任务。现在需要更多的现实世界测试以及这些设备评估的标准化。

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Falling short: recruiting elderly individuals for a fall study.未达到目标:为跌倒研究招募老年人。
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Simulated unobtrusive falls detection with multiple persons.多人模拟非侵入性跌倒检测。
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Fall classification by machine learning using mobile phones.基于机器学习的手机摔倒分类。
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A microphone array system for automatic fall detection.用于自动跌倒检测的麦克风阵列系统。
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