[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 …
Physiological reactions to acute stressors and subjective stress during daily life: A systematic review on ecological momentary assessment (EMA) studies
J Weber, P Angerer, J Apolinário-Hagen - PloS one, 2022 - journals.plos.org
Objective This review aims to provide an overview of ecological momentary assessment
(EMA) studies analyzing stress reactivity during daily life in terms of direct and moderated …
(EMA) studies analyzing stress reactivity during daily life in terms of direct and moderated …
Biot: Biosignal transformer for cross-data learning in the wild
Biological signals, such as electroencephalograms (EEG), play a crucial role in numerous
clinical applications, exhibiting diverse data formats and quality profiles. Current deep …
clinical applications, exhibiting diverse data formats and quality profiles. Current deep …
Mental stress assessment using ultra short term HRV analysis based on non-linear method
Mental stress is on the rise as one of the major health problems in modern society. It is
important to detect and manage mental stress to prevent various diseases caused by stress …
important to detect and manage mental stress to prevent various diseases caused by stress …
A machine-learning approach for stress detection using wearable sensors in free-living environments
Stress is a psychological condition resulting from the body's response to challenging
situations, which can negatively impact physical and mental health if experienced over …
situations, which can negatively impact physical and mental health if experienced over …
Application level performance evaluation of wearable devices for stress classification with explainable AI
Stress has become one of the most prominent problems of modern societies and a key
contributor to major health issues. Dealing with stress effectively requires detecting it in real …
contributor to major health issues. Dealing with stress effectively requires detecting it in real …
Current trends and opportunities in the methodology of electrodermal activity measurement
Electrodermal activity (EDA) has been measured in the laboratory since the late 1800s.
Although the influence of sudomotor nerve activity and the sympathetic nervous system on …
Although the influence of sudomotor nerve activity and the sympathetic nervous system on …
Mental stress detection using a wearable in-ear plethysmography
This study presents an ear-mounted photoplethysmography (PPG) system that is designed
to detect mental stress. Mental stress is a prevalent condition that can negatively impact an …
to detect mental stress. Mental stress is a prevalent condition that can negatively impact an …
Enhancing Stress Detection: A Comprehensive Approach through rPPG Analysis and Deep Learning Techniques
Stress has emerged as a major concern in modern society, significantly impacting human
health and well-being. Statistical evidence underscores the extensive social influence of …
health and well-being. Statistical evidence underscores the extensive social influence of …
Assessing effectiveness of heart rate variability biofeedback to mitigate mental health symptoms: a pilot study
T Castro Ribeiro, P Sobregrau Sangrà… - Frontiers in …, 2023 - frontiersin.org
Introduction: The increasing burden on mental health has become a worldwide concern
especially due to its substantial negative social and economic impact. The implementation of …
especially due to its substantial negative social and economic impact. The implementation of …