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使用可穿戴传感器和设备进行疼痛和压力检测的研究综述。

Pain and Stress Detection Using Wearable Sensors and Devices-A Review.

机构信息

Department of Mechanical Engineering, Yan Ze University, Taoyuan 32003, Taiwan.

Department of Electronic and Computer Engineering, Brunel University London, Uxbridge UB8 3PH, UK.

出版信息

Sensors (Basel). 2021 Feb 3;21(4):1030. doi: 10.3390/s21041030.

Abstract

Pain is a subjective feeling; it is a sensation that every human being must have experienced all their life. Yet, its mechanism and the way to immune to it is still a question to be answered. This review presents the mechanism and correlation of pain and stress, their assessment and detection approach with medical devices and wearable sensors. Various physiological signals (i.e., heart activity, brain activity, muscle activity, electrodermal activity, respiratory, blood volume pulse, skin temperature) and behavioral signals are organized for wearables sensors detection. By reviewing the wearable sensors used in the healthcare domain, we hope to find a way for wearable healthcare-monitoring system to be applied on pain and stress detection. Since pain leads to multiple consequences or symptoms such as muscle tension and depression that are stress related, there is a chance to find a new approach for chronic pain detection using daily life sensors or devices. Then by integrating modern computing techniques, there is a chance to handle pain and stress management issue.

摘要

疼痛是一种主观感受;它是人类一生中必须经历的一种感觉。然而,其机制和免疫方法仍是一个有待解答的问题。本综述介绍了疼痛和压力的机制和相关性,以及它们与医疗设备和可穿戴传感器的评估和检测方法。各种生理信号(即心脏活动、大脑活动、肌肉活动、皮肤电活动、呼吸、血管容积脉搏、皮肤温度)和行为信号被组织用于可穿戴传感器检测。通过回顾可穿戴传感器在医疗保健领域的应用,我们希望找到一种方法,使可穿戴式医疗监测系统能够应用于疼痛和压力检测。由于疼痛会导致多种后果或症状,如与压力相关的肌肉紧张和抑郁,因此有可能通过日常生活中的传感器或设备来发现一种新的慢性疼痛检测方法。然后通过整合现代计算技术,有可能解决疼痛和压力管理问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c74/7913347/ba909f22c715/sensors-21-01030-g001.jpg

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