Objective stress monitoring based on wearable sensors in everyday settings
Objective stress monitoring based on wearable sensors in everyday settings
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DOI：
10.1080/03091902.2020.1759707
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发表时间：
2020-05-18
影响因子：
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通讯作者：
Rahmani, Amir M.
中科院分区：
文献类型：
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作者：
Han, Hee Jeong;Labbaf, Sina;Rahmani, Amir M.
监测人们的压力水平已成为在生物心理社会框架内进行的身体和精神疾病行为研究的重要组成部分。在基于实验室的受控环境中已经进行了几项压力评估研究。然而，这些研究的结果并不总能有效地转化为日常环境。可穿戴传感器技术的当前状态使我们能够开发系统，测量反映压力的生理信号 24/7，同时捕获上下文。在本文中，我们提出了一种压力监测系统，该系统使用 Shimmer3 ECG、Shimmer3 GSR+ 和 Empatica E4 可穿戴传感器，基于心电图 (ECG)、光电体积描记图 (PPG) 和皮肤电反应 (GSR) 三种生理信号，在日常环境中提供客观的日常压力测量。我们对 17 名参与者进行了受控压力评估实验，其中我们成功检测到压力，10 倍交叉验证的准确度为 94.55%，主题交叉验证的准确度为 85.71%。在日常环境中，系统评估压力的准确度为 81.82%。我们还检查运动伪影是否影响压力评估并过滤低置信度读数以最大程度地减少误报。
Monitoring people's stress levels has become an essential part of behavioural studies for physical and mental illnesses conducted within the biopsychosocial framework. There have been several stress assessment studies in laboratory-based controlled settings. However, the results of these studies do not always translate effectively to an everyday context. The current state of wearable sensor technology allows us to develop systems measuring the physiological signals reflecting stress 24/7 while capturing the context. In this paper, we present a stress monitoring system that provides objective daily stress measurements in everyday settings based on three physiological signals: electrocardiogram (ECG), photoplethysmogram (PPG), and galvanic skin response (GSR) using Shimmer3 ECG, Shimmer3 GSR+, and Empatica E4 wearable sensors. We perform controlled stress assessment experiments on 17 participants in which we successfully detect stress with a 94.55% accuracy for 10-fold cross-validation and an 85.71% accuracy for subject-wise cross-validation. In everyday settings, the system assesses stress with an 81.82% accuracy. We also examine whether motion artefacts affect stress assessment and filter the low-confidence readings to minimise false alarms.