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使用生物标志物和智能手表进行职业应激监测:系统评价。

Occupational Stress Monitoring Using Biomarkers and Smartwatches: A Systematic Review.

机构信息

Graduate Program in Energy and Sustainability, Sciences, Technologies, and Health Education Center, Federal University of Santa Catarina (UFSC), Araranguá 88906-072, Brazil.

Research Group on Intelligent Systems Applied to Health, CNPq, Brasilia 70067-900, Brazil.

出版信息

Sensors (Basel). 2022 Sep 2;22(17):6633. doi: 10.3390/s22176633.

Abstract

This article presents a systematic review of the literature concerning scientific publications on wrist wearables that can help to identify stress levels. The study is part of a research project aimed at modeling a stress surveillance system and providing coping recommendations. The investigation followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. In total, 38 articles were selected for full reading, and 10 articles were selected owing to their alignment with the study proposal. The types of technologies used in the research stand out amongst our main results after analyzing the articles. It is noteworthy that stress assessments are still based on standardized questionnaires, completed by the participants. The main biomarkers collected by the devices used in the selected works included: heart rate variation, cortisol analysis, skin conductance, body temperature, and blood volume at the wrist. This study concludes that developing a wrist wearable for stress identification using physiological and chemical sensors is challenging but possible and applicable.

摘要

本文对可帮助识别压力水平的腕戴式可穿戴设备的科学出版物进行了系统回顾。该研究是建模压力监测系统和提供应对建议的研究项目的一部分。该调查遵循了系统评价和荟萃分析的首选报告项目 (PRISMA) 指南。总共选择了 38 篇文章进行全文阅读,并由于与研究建议一致而选择了 10 篇文章。在分析了这些文章之后,我们的主要研究结果中突出了所使用的技术类型。值得注意的是,压力评估仍然基于参与者完成的标准化问卷。所选作品中使用的设备收集的主要生物标志物包括:心率变化、皮质醇分析、皮肤电导、体温和手腕处的血液体积。本研究得出的结论是,使用生理和化学传感器开发用于识别压力的腕戴式可穿戴设备具有挑战性,但可行且适用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efe0/9460732/868caa216af8/sensors-22-06633-g001.jpg

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