Trends in workplace wearable technologies and connected‐worker solutions for next‐generation occupational safety, health, and productivity
V Patel, A Chesmore, CM Legner… - Advanced Intelligent …, 2022 - Wiley Online Library
The workplace influences the safety, health, and productivity of workers at multiple levels. To
protect and promote total worker health, smart hardware, and software tools have emerged …
protect and promote total worker health, smart hardware, and software tools have emerged …
Wearable technology in clinical practice for depressive disorder
Wearable Technology in Clinical Practice for Depressive Disorder | New England Journal of
Medicine Skip to main content The New England Journal of Medicine homepage Advanced …
Medicine Skip to main content The New England Journal of Medicine homepage Advanced …
Stress detection using deep neural networks
R Li, Z Liu - BMC Medical Informatics and Decision Making, 2020 - Springer
Abstract Background Over 70% of Americans regularly experience stress. Chronic stress
results in cancer, cardiovascular disease, depression, and diabetes, and thus is deeply …
results in cancer, cardiovascular disease, depression, and diabetes, and thus is deeply …
[HTML][HTML] Digital biomarkers for depression screening with wearable devices: cross-sectional study with machine learning modeling
Background: Depression is a prevalent mental disorder that is undiagnosed and untreated
in half of all cases. Wearable activity trackers collect fine-grained sensor data characterizing …
in half of all cases. Wearable activity trackers collect fine-grained sensor data characterizing …
[HTML][HTML] Generalizable machine learning for stress monitoring from wearable devices: A systematic literature review
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 …
biomarkers that may correlate with levels of elevated stress. Stressors cause a variety of …
Machine intelligence in non-invasive endocrine cancer diagnostics
NM Thomasian, IR Kamel, HX Bai - Nature Reviews Endocrinology, 2022 - nature.com
Artificial intelligence (AI) has illuminated a clear path towards an evolving health-care
system replete with enhanced precision and computing capabilities. Medical imaging …
system replete with enhanced precision and computing capabilities. Medical imaging …
Guidelines for assessing and minimizing risks of emotion recognition applications
Society has witnessed a rapid increase in the adoption of commercial uses of emotion
recognition. Tools that were traditionally used by domain experts are now being used by …
recognition. Tools that were traditionally used by domain experts are now being used by …
Deep learning approach for detecting work-related stress using multimodal signals
Work-related stress causes serious negative physiological and socioeconomic effects on
employees. Detecting stress levels in a timely manner is important for appropriate stress …
employees. Detecting stress levels in a timely manner is important for appropriate stress …
Real-time mental stress detection using multimodality expressions with a deep learning framework
J Zhang, H Yin, J Zhang, G Yang, J Qin… - Frontiers in …, 2022 - frontiersin.org
Mental stress is becoming increasingly widespread and gradually severe in modern society,
threatening people's physical and mental health. To avoid the adverse effects of stress on …
threatening people's physical and mental health. To avoid the adverse effects of stress on …
Toward robust stress prediction in the age of wearables: Modeling perceived stress in a longitudinal study with information workers
Given the widespread adverse outcomes of stress–exacerbated by the current pandemic–
wearable sensing provides unique opportunities for automated stress tracking to inform well …
wearable sensing provides unique opportunities for automated stress tracking to inform well …