Feature Article: Healthcare Cyber-Physical System Machine Learning Based Solutions for Real-Time Stress Monitoring Rajdeep Kumar Nath University of Kentucky Allison Caban-Holt Wake Forest School of Medicine Himanshu Thapliyal University of Kentucky Saraju P. Mohanty University of North Texas Abstract-Stress may be defined as the reaction of the body to regulate itself to changes within the environment through mental, physical, or emotional responses. Recurrent episodes of acute stress can disturb the physical and mental stability of a person. This subsequently can have a negative effect on work performance and in the long term can increase the risk of physiological disorders like hypertension and psychological illness such as anxiety disorder. Psychological stress is a growing concern for the worldwide population across all age groups. A reliable, cost-efficient, acute stress detection system could enable its users to better monitor and manage their stress to mitigate its long-term negative effects. In this article, we will review and discuss the literature that has used machine learning based approaches for stress detection. We will also review the existing solutions in the literature that have leveraged the concept of edge computing in providing a potential solution in real-time monitoring of stress. WHAT IS STRESS? & STRESS IS DEFINED as the reaction to adverse environmental situations that challenges the typical adaptive capability as perceived by an individual.1 Although positive stress (eustress) Digital Object Identifier 10.1109/MCE.2020.2993427 Date of publication 11 May 2020; date of current version 10 August 2020. 34 2162-2248 ß 2020 IEEE helps the individual to stay focused to deal with adversities, negative stress (distress) causes the activation of the HPA (hypothalamicpituitary-adrenocortical) axis. Prolonged activation of the HPA axis may cause physiological and psychological disorders.2 Psychological stress is also found to affect physiological processes and has a negative effect on daily work performance and is thought to affect the Published by the IEEE Consumer Technology Society IEEE Consumer Electronics Magazine