Wearables measuring electrodermal activity to assess perceived stress in care: a scoping review.

IF 3.8 4区 医学 Q1 Medicine
Agata Klimek, Ittay Mannheim, Gerard Schouten, Eveline J Wouters, Manon W H Peeters
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引用次数: 2

Abstract

Background: Chronic stress responses can lead to physical and behavioural health problems, often experienced and observed in the care of people with intellectual disabilities or people with dementia. Electrodermal activity (EDA) is a bio-signal for stress, which can be measured by wearables and thereby support stress management. However, the how, when and to what extent patients and healthcare providers can benefit is unclear. This study aims to create an overview of available wearables enabling the detection of perceived stress by using EDA.

Methods: Following the PRISMA-SCR protocol for scoping reviews, four databases were included in the search of peer-reviewed studies published between 2012 and 2022, reporting detection of EDA in relation to self-reported stress or stress-related behaviours. Type of wearable, bodily location, research population, context, stressor type and the reported relationship between EDA and perceived stress were extracted.

Results: Of the 74 included studies, the majority included healthy subjects in laboratory situations. Field studies and studies using machine learning (ML) to predict stress have increased in the last years. EDA is most often measured on the wrist, with offline data processing. Studies predicting perceived stress or stress-related behaviour using EDA features, reported accuracies between 42% and 100% with an average of 82.6%. Of these studies, the majority used ML.

Conclusion: Wearable EDA sensors are promising in detecting perceived stress. Field studies with relevant populations in a health or care context are lacking. Future studies should focus on the application of EDA-measuring wearables in real-life situations to support stress management.

可穿戴设备测量皮肤电活动以评估护理中的感知压力:范围回顾。
背景:慢性应激反应可导致身体和行为健康问题,在照顾智力残疾者或痴呆症患者时经常经历和观察到这种问题。皮肤电活动(EDA)是一种压力的生物信号,可以通过可穿戴设备测量,从而支持压力管理。然而,患者和医疗保健提供者如何、何时以及在多大程度上受益尚不清楚。本研究旨在概述可用的可穿戴设备,通过使用EDA来检测感知压力。方法:根据PRISMA-SCR协议进行范围审查,在2012年至2022年间发表的同行评议研究中纳入了四个数据库,这些研究报告了EDA检测与自我报告的压力或压力相关行为有关。提取可穿戴设备类型、身体位置、研究人群、环境、压力源类型以及EDA与感知压力之间的关系。结果:在纳入的74项研究中,大多数包括实验室环境下的健康受试者。在过去的几年里,现场研究和使用机器学习(ML)来预测压力的研究有所增加。EDA通常是在手腕上测量的,使用离线数据处理。使用EDA特征预测感知压力或压力相关行为的研究报告准确率在42%到100%之间,平均为82.6%。结论:可穿戴式EDA传感器在检测感知压力方面具有广阔的应用前景。缺乏在卫生或保健方面对相关人群进行的实地研究。未来的研究应侧重于eda测量可穿戴设备在现实生活中的应用,以支持压力管理。
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来源期刊
Acta Neuropsychiatrica
Acta Neuropsychiatrica 医学-精神病学
CiteScore
8.50
自引率
5.30%
发文量
30
审稿时长
6-12 weeks
期刊介绍: Acta Neuropsychiatrica is an international journal focussing on translational neuropsychiatry. It publishes high-quality original research papers and reviews. The Journal''s scope specifically highlights the pathway from discovery to clinical applications, healthcare and global health that can be viewed broadly as the spectrum of work that marks the pathway from discovery to global health.
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