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评估当前多种个人化可穿戴传感器在环境和健康监测中的综合应用。

Assessing the Current Integration of Multiple Personalised Wearable Sensors for Environment and Health Monitoring.

机构信息

Department of Environmental Science, Environmental Social Science and Geography, Aarhus University, 8000 Aarhus, Denmark.

BERTHA, The Danish Big Data Centre for Environment and Health, Aarhus University, 8000 Aarhus, Denmark.

出版信息

Sensors (Basel). 2021 Nov 19;21(22):7693. doi: 10.3390/s21227693.

Abstract

The ever-growing development of sensor technology brings new opportunities to investigate impacts of the outdoor environment on human health at the individual level. However, there is limited literature on the use of multiple personalized sensors in urban environments. This review paper focuses on examining how multiple personalized sensors have been integrated to enhance the monitoring of co-exposures and health effects in the city. Following PRISMA guidelines, two reviewers screened 4898 studies from Scopus, Web of Science, ProQuest, Embase, and PubMed databases published from January 2010 to April 2021. In this case, 39 articles met the eligibility criteria. The review begins by examining the characteristics of the reviewed papers to assess the current situation of integrating multiple sensors for health and environment monitoring. Two main challenges were identified from the quality assessment: choosing sensors and integrating data. Lastly, we propose a checklist with feasible measures to improve the integration of multiple sensors for future studies.

摘要

传感器技术的不断发展为在个体层面研究户外环境对人类健康的影响带来了新的机遇。然而,关于在城市环境中使用多个个性化传感器的文献有限。本文综述重点探讨了如何整合多个个性化传感器以加强对城市中共同暴露和健康影响的监测。根据 PRISMA 指南,两位审稿人从 Scopus、Web of Science、ProQuest、Embase 和 PubMed 数据库中筛选了 2010 年 1 月至 2021 年 4 月发表的 4898 篇研究论文。在这种情况下,有 39 篇文章符合入选标准。本综述首先通过考察所审查论文的特征来评估目前用于健康和环境监测的多传感器整合现状。从质量评估中确定了两个主要挑战:传感器选择和数据整合。最后,我们提出了一份带有可行措施的清单,以改进未来研究中多传感器的整合。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9702/8620646/c5d34d50f210/sensors-21-07693-g001.jpg

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