Measuring stress using wearable devices

IF 4.9 2区 医学 Q1 ENGINEERING, BIOMEDICAL
Isaac L. Flett , Yunpeng Su , Wade Bennett , Harris Oon , Louis van Zyl , Josephine A. Dixon , Hamish A. Ferguson , Tony Zhou , Cong Zhou , Lui Holder-Pearson , J. Geoffrey Chase
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Abstract

Over 200 million individuals experience anxiety or chronic pain. Assessing the intensity of anxiety and pain involves patient-assessed subjective ratings. However, these are limited by differing personal perceptions and variability. An unbiased, objective stress metric could help overcome these challenges, enabling better management. Many wearable devices provide a stress measurement derived from heart-rate variability, which has been shown to decrease with stress. This study used a Garmin’s smartwatch stress metric to measure the stress of 12 female and 15 male participants during a 20 min long Colour word test (CWT) inducing a stress/anxiety response, and a 90-second Cold pressor test (CPT) inducing a pain response. To quantify the strength of a response, two metrics were defined. These were, Baseline factor, which is participant stress increase relative to basal stress, and Headroom factor, which measures how close the stress response got to 100%. Both are on a 0.00-1.00 scale.
The mean Baseline and Headroom factors for the CWT were 0.46, and 0.38. The mean Baseline and Headroom factors for the CPT were 0.06, and 0.12. CPT results were less consistent than CWT results, possibly as a result of the CPT’s shorter duration or subject-specific pain responses. There were no clear differences in Baseline or Headroom factor results by sex.
These results suggest smartwatches could offer an objective metric to measure stress or pain in real-time, with applications in the assessment and management of anxiety and chronic pain, as well as a tool in clinical trials to evaluate the effectiveness of stress-reducing interventions.
使用可穿戴设备测量压力
超过2亿人患有焦虑或慢性疼痛。评估焦虑和疼痛的强度涉及患者评估的主观评分。然而,这些都受到不同的个人观念和可变性的限制。一个公正、客观的压力度量可以帮助克服这些挑战,实现更好的管理。许多可穿戴设备提供了一种来自心率变异性的压力测量方法,该方法已被证明会随着压力而降低。本研究使用Garmin智能手表测量了12名女性和15名男性参与者在20分钟的颜色单词测试(CWT)和90秒的冷压力测试(CPT)中产生的压力/焦虑反应。为了量化反应的强度,定义了两个指标。它们是基线因素,即参与者的压力相对于基础压力的增加,以及净空因素,衡量压力反应接近100%的程度。两者的分值都在0-1.00之间。CWT的平均基线和净空因子分别为0.46和0.38。CPT的平均基线和净空因子分别为0.06和0.12。CPT结果不如CWT结果一致,可能是由于CPT持续时间较短或受试者特定的疼痛反应。基线或净空因子结果无明显性别差异。这些结果表明,智能手表可以提供一种实时测量压力或疼痛的客观指标,应用于焦虑和慢性疼痛的评估和管理,也可以作为临床试验中评估减压干预措施有效性的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biomedical Signal Processing and Control
Biomedical Signal Processing and Control 工程技术-工程:生物医学
CiteScore
9.80
自引率
13.70%
发文量
822
审稿时长
4 months
期刊介绍: Biomedical Signal Processing and Control aims to provide a cross-disciplinary international forum for the interchange of information on research in the measurement and analysis of signals and images in clinical medicine and the biological sciences. Emphasis is placed on contributions dealing with the practical, applications-led research on the use of methods and devices in clinical diagnosis, patient monitoring and management. Biomedical Signal Processing and Control reflects the main areas in which these methods are being used and developed at the interface of both engineering and clinical science. The scope of the journal is defined to include relevant review papers, technical notes, short communications and letters. Tutorial papers and special issues will also be published.
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