Pain and stress detection using wearable sensors and devices—A review

J Chen, M Abbod, JS Shieh - Sensors, 2021 - mdpi.com
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 …

Ecological momentary interventions for mental health: A scoping review

A Balaskas, SM Schueller, AL Cox, G Doherty - PloS one, 2021 - journals.plos.org
Background The development of mobile computing technology has enabled the delivery of
psychological interventions while people go about their everyday lives. The original visions …

[HTML][HTML] Generalizable machine learning for stress monitoring from wearable devices: A systematic literature review

G Vos, K Trinh, Z Sarnyai, MR Azghadi - International Journal of Medical …, 2023 - Elsevier
Introduction Wearable sensors have shown promise as a non-intrusive method for collecting
biomarkers that may correlate with levels of elevated stress. Stressors cause a variety of …

Job demands and resources among healthcare professionals during virus pandemics: A review and examination of fluctuations in mental health strain during COVID …

TW Britt, ML Shuffler, RL Pegram, P Xoxakos… - Applied …, 2021 - Wiley Online Library
The present article examines how job demands and resources are related to indices of
strain among healthcare professionals during virus pandemics. The article also presents the …

A method for stress detection using empatica E4 bracelet and machine-learning techniques

S Campanella, A Altaleb, A Belli, P Pierleoni, L Palma - Sensors, 2023 - mdpi.com
In response to challenging circumstances, the human body can experience marked levels of
anxiety and distress. To prevent stress-related complications, timely identification of stress …

Wearable sensor-based detection of stress and craving in patients during treatment for substance use disorder: A mixed methods pilot study

S Carreiro, KK Chintha, S Shrestha, B Chapman… - Drug and alcohol …, 2020 - Elsevier
Aims To determine the accuracy of a wearable sensor to detect and differentiate episodes of
self-reported craving and stress in individuals with substance use disorders, and to assess …

Using machine learning in burnout prediction: A survey

M Grządzielewska - Child and Adolescent Social Work Journal, 2021 - Springer
Accurate prediction provides a number of important benefits for research and decision-
making. Occupational burnout is intertwined with individual, cultural, and social factors, the …

Digital health interventions for mental health, substance use, and co-occurring disorders in the criminal justice population: A scoping review

R Leach, S Carreiro, PM Shaffer, A Gaba… - Frontiers in …, 2022 - frontiersin.org
Background Substance use disorder (SUD), mental health disorders (MHD), and co-
occurring mental health and substance use disorders are common among criminal justice …

Physician burnout: evidence-based roadmaps to prioritizing and supporting personal wellbeing

L Underdahl, M Ditri, LM Duthely - Journal of healthcare …, 2024 - Taylor & Francis
Current literature validates the magnitude of physician burnout as a complex challenge
affecting physicians, patients, and healthcare delivery that mandates science-informed …

Making wearable technology available for mental healthcare through an online platform with stress detection algorithms: the Carewear project

G Debard, N De Witte, R Sels, M Mertens… - Journal of …, 2020 - Wiley Online Library
Over the past years, mobile health (mHealth) applications and specifically wearables have
become able and available to collect data of increasing quality of relevance for mental …