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使用可听设备测量的健康相关指标:系统评价。

Health-Related Indicators Measured Using Earable Devices: Systematic Review.

机构信息

Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea.

Department of Nursing, College of Natural Science, Mokpo National University, Mokpo, Republic of Korea.

出版信息

JMIR Mhealth Uhealth. 2022 Nov 15;10(11):e36696. doi: 10.2196/36696.


DOI:10.2196/36696
PMID:36239201
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9709679/
Abstract

BACKGROUND: Earable devices are novel, wearable Internet of Things devices that are user-friendly and have potential applications in mobile health care. The position of the ear is advantageous for assessing vital status and detecting diseases through reliable and comfortable sensing devices. OBJECTIVE: Our study aimed to review the utility of health-related indicators derived from earable devices and propose an improved definition of disease prevention. We also proposed future directions for research on the health care applications of earable devices. METHODS: A systematic review was conducted of the PubMed, Embase, and Web of Science databases. Keywords were used to identify studies on earable devices published between 2015 and 2020. The earable devices were described in terms of target health outcomes, biomarkers, sensor types and positions, and their utility for disease prevention. RESULTS: A total of 51 articles met the inclusion criteria and were reviewed, and the frequency of 5 health-related characteristics of earable devices was described. The most frequent target health outcomes were diet-related outcomes (9/51, 18%), brain status (7/51, 14%), and cardiovascular disease (CVD) and central nervous system disease (5/51, 10% each). The most frequent biomarkers were electroencephalography (11/51, 22%), body movements (6/51, 12%), and body temperature (5/51, 10%). As for sensor types and sensor positions, electrical sensors (19/51, 37%) and the ear canal (26/51, 51%) were the most common, respectively. Moreover, the most frequent prevention stages were secondary prevention (35/51, 69%), primary prevention (12/51, 24%), and tertiary prevention (4/51, 8%). Combinations of ≥2 target health outcomes were the most frequent in secondary prevention (8/35, 23%) followed by brain status and CVD (5/35, 14% each) and by central nervous system disease and head injury (4/35, 11% each). CONCLUSIONS: Earable devices can provide biomarkers for various health outcomes. Brain status, healthy diet status, and CVDs were the most frequently targeted outcomes among the studies. Earable devices were mostly used for secondary prevention via monitoring of health or disease status. The potential utility of earable devices for primary and tertiary prevention needs to be investigated further. Earable devices connected to smartphones or tablets through cloud servers will guarantee user access to personal health information and facilitate comfortable wearing.

摘要

背景:耳戴设备是新型的可穿戴物联网设备,用户友好,在移动医疗保健领域具有潜在的应用。耳朵的位置有利于通过可靠和舒适的感测设备来评估生命状态和检测疾病。

目的:我们的研究旨在回顾耳戴设备相关健康指标的实用性,并提出对疾病预防的改进定义。我们还提出了耳戴设备在医疗保健应用方面的未来研究方向。

方法:对 PubMed、Embase 和 Web of Science 数据库进行了系统回顾。使用关键词来确定 2015 年至 2020 年间发表的关于耳戴设备的研究。根据目标健康结果、生物标志物、传感器类型和位置以及对疾病预防的实用性,对耳戴设备进行了描述。

结果:共有 51 篇文章符合纳入标准并进行了综述,描述了 5 种耳戴设备相关健康特征的出现频率。最常见的目标健康结果是与饮食相关的结果(9/51,18%)、大脑状态(7/51,14%)和心血管疾病(CVD)和中枢神经系统疾病(5/51,各 10%)。最常见的生物标志物是脑电图(11/51,22%)、身体运动(6/51,12%)和体温(5/51,10%)。至于传感器类型和传感器位置,电传感器(19/51,37%)和耳道(26/51,51%)最常见。此外,最常见的预防阶段是二级预防(35/51,69%)、一级预防(12/51,24%)和三级预防(4/51,8%)。二级预防中最常见的是≥2 个目标健康结果的组合(8/35,23%),其次是大脑状态和 CVD(5/35,各 14%)和中枢神经系统疾病和头部损伤(4/35,各 11%)。

结论:耳戴设备可为各种健康结果提供生物标志物。在研究中,大脑状态、健康饮食状况和 CVD 是最常针对的结果。耳戴设备主要通过监测健康或疾病状况用于二级预防。耳戴设备在一级和三级预防中的潜在实用性需要进一步研究。通过云服务器与智能手机或平板电脑连接的耳戴设备将保证用户访问个人健康信息,并方便舒适佩戴。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/387f/9709679/35fc76450b02/mhealth_v10i11e36696_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/387f/9709679/fc24a5500bd1/mhealth_v10i11e36696_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/387f/9709679/35fc76450b02/mhealth_v10i11e36696_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/387f/9709679/fc24a5500bd1/mhealth_v10i11e36696_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/387f/9709679/35fc76450b02/mhealth_v10i11e36696_fig2.jpg

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引用本文的文献

[1]
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Sensors (Basel). 2025-7-15

[2]
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[5]
Energy expenditure estimation during activities of daily living in middle-aged and older adults using an accelerometer integrated into a hearing aid.

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[6]
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Sensors (Basel). 2023-8-22

本文引用的文献

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