Pain assessment and determination methods with wearable sensors: a scoping review.

IF 2.6 4区 医学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Beren Semiz, Özge Kartin Hancioglu, Remziye Semerci Şahin
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引用次数: 0

Abstract

There is no gold standard for objectively measuring pain; wearable devices cannot claim to measure pain itself, but may offer correlational insights through physiological signals. This scoping review synthesizes current evidence on pain-related assessment methods using wearable sensors across pediatric and adult populations. This review followed the PRISMA-ScR guidelines. A systematic literature search was conducted across PubMed, Cochrane Library, Scopus, Web of Science, CINAHL, and Ovid MEDLINE for studies published up to December 2024. A total of 24 studies met the inclusion criteria. The most used wearable devices included commercially available smartwatches, wristbands, and multisensor platforms. Physiological indicators associated with pain responses included heart rate, heart rate variability, electrocardiography, electrodermal activity, electromyography, surface electromyography, photoplethysmography, skin temperature, and electroencephalography, reflecting autonomic, muscular, and neural system activity. Wearable sensors represent a promising, non-invasive tool for capturing physiological pain-related responses, particularly in contexts where verbal self-report is not feasible. While these devices may support more responsive and continuous pain monitoring, they cannot replace self-report measures and should not be interpreted as providing objective pain measurements.

可穿戴传感器的疼痛评估和确定方法:范围回顾。
没有客观衡量疼痛的黄金标准;可穿戴设备不能声称能测量疼痛本身,但可以通过生理信号提供相关的见解。本综述综合了目前在儿童和成人人群中使用可穿戴传感器的疼痛相关评估方法的证据。本综述遵循PRISMA-ScR指南。对PubMed、Cochrane Library、Scopus、Web of Science、CINAHL和Ovid MEDLINE进行了系统的文献检索,检索截止到2024年12月发表的研究。共有24项研究符合纳入标准。最常用的可穿戴设备包括市售的智能手表、腕带和多传感器平台。与疼痛反应相关的生理指标包括心率、心率变异性、心电图、皮电活动、肌电图、表面肌电图、光容积脉搏图、皮肤温度和脑电图,反映自主神经、肌肉和神经系统的活动。可穿戴传感器代表了一种很有前途的、非侵入性的工具,用于捕捉与疼痛相关的生理反应,特别是在口头自我报告不可行的情况下。虽然这些设备可能支持更灵敏和持续的疼痛监测,但它们不能取代自我报告测量,也不应被解释为提供客观的疼痛测量。
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
Medical & Biological Engineering & Computing
Medical & Biological Engineering & Computing 医学-工程:生物医学
CiteScore
6.00
自引率
3.10%
发文量
249
审稿时长
3.5 months
期刊介绍: Founded in 1963, Medical & Biological Engineering & Computing (MBEC) continues to serve the biomedical engineering community, covering the entire spectrum of biomedical and clinical engineering. The journal presents exciting and vital experimental and theoretical developments in biomedical science and technology, and reports on advances in computer-based methodologies in these multidisciplinary subjects. The journal also incorporates new and evolving technologies including cellular engineering and molecular imaging. MBEC publishes original research articles as well as reviews and technical notes. Its Rapid Communications category focuses on material of immediate value to the readership, while the Controversies section provides a forum to exchange views on selected issues, stimulating a vigorous and informed debate in this exciting and high profile field. MBEC is an official journal of the International Federation of Medical and Biological Engineering (IFMBE).
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