Klimek Agata, Mannheim Ittay, Schouten Gerard, Wouters Eveline J M, Peeters Manon W H
School for Allied Health Professions, Fontys University of Applied Sciences, Eindhoven, The Netherlands.
Tranzo, School of Social and Behavioural Sciences, Tilburg University, Tilburg, The Netherlands.
Acta Neuropsychiatr. 2023 Mar 24;37:e19. doi: 10.1017/neu.2023.19.
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.
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.
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.
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.
慢性应激反应会导致身体和行为健康问题，这在照顾智障人士或痴呆症患者时经常出现和被观察到。皮肤电活动（EDA）是一种应激生物信号，可通过可穿戴设备进行测量，从而有助于压力管理。然而，患者和医疗服务提供者如何、何时以及在多大程度上能从中受益尚不清楚。本研究旨在概述现有的可穿戴设备，这些设备能够通过使用EDA来检测感知到的压力。
按照PRISMA-SCR范围综述协议，检索了四个数据库，以查找2012年至2022年间发表的同行评审研究，这些研究报告了与自我报告的压力或压力相关行为有关的EDA检测情况。提取了可穿戴设备的类型、身体部位、研究人群、背景、应激源类型以及所报告的EDA与感知压力之间的关系。
在纳入的74项研究中，大多数研究纳入了实验室环境中的健康受试者。近年来，现场研究和使用机器学习（ML）预测压力的研究有所增加。EDA最常测量的部位是手腕，采用离线数据处理。使用EDA特征预测感知压力或压力相关行为的研究报告的准确率在42%至100%之间，平均为82.6%。在这些研究中，大多数使用了ML。
可穿戴EDA传感器在检测感知压力方面很有前景。缺乏针对健康或护理背景下相关人群的现场研究。未来的研究应侧重于将测量EDA的可穿戴设备应用于现实生活场景中，以支持压力管理。
