Key result
Wearable sensors capturing physiological and behavioral signals present a promising approach for the detection and management of chronic pain and stress.
Why the study?
The mechanisms of pain and methods to become immune to it remain unresolved, motivating the exploration of wearable healthcare-monitoring systems and computing techniques to detect and manage pain and stress.
This review highlights the potential of integrating wearable sensors and AI/ML techniques for continuous monitoring and management of pain and stress.
Should not yet change practice; leaves open prospective trials validating wearable signals for pain and stress detection.
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 re- view 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 tempera- ture) 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.
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AMAlANATHAN et al. (2022) conducted a review in Pain and stress. Wearable sensors and devices was evaluated. Wearable sensors capturing physiological and behavioral signals present a promising approach for the detection and management of chronic pain and stress.
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