The connection between heart rate variability (HRV), neurological health, and cognition: A literature review

X Arakaki, RJ Arechavala, EH Choy… - Frontiers in …, 2023‏ - frontiersin.org
The heart and brain have bi-directional influences on each other, including autonomic
regulation and hemodynamic connections. Heart rate variability (HRV) measures variation in …

Stress detection using ECG and EMG signals: A comprehensive study

S Pourmohammadi, A Maleki - Computer methods and programs in …, 2020‏ - Elsevier
Abstract Background and Objective In recent years, stress and mental health have been
considered as important worldwide concerns. Stress detection using physiological signals …

[HTML][HTML] An interpretable machine learning approach to multimodal stress detection in a simulated office environment

M Naegelin, RP Weibel, JI Kerr, VR Schinazi… - Journal of biomedical …, 2023‏ - Elsevier
Background and objective: Work-related stress affects a large part of today's workforce and
is known to have detrimental effects on physical and mental health. Continuous and …

Attention based hybrid deep learning model for wearable based stress recognition

R Tanwar, OC Phukan, G Singh, PK Pal… - … Applications of Artificial …, 2024‏ - Elsevier
Stress recognition is the process of identifying and assessing an individual's physiological
and psychological responses to stressors, which has significant implications for human well …

Wearables measuring electrodermal activity to assess perceived stress in care: a sco** review

A Klimek, I Mannheim, G Schouten… - Acta …, 2023‏ - cambridge.org
Background: Chronic stress responses can lead to physical and behavioural health
problems, often experienced and observed in the care of people with intellectual disabilities …

Cognitive training and stress detection in mci frail older people through wearable sensors and machine learning

F Delmastro, F Di Martino, C Dolciotti - Ieee Access, 2020‏ - ieeexplore.ieee.org
Personalised training of motor and cognitive abilities is fundamental to help older people
maintain a good quality of life, especially in case of frailty conditions. However, the training …

Machine learning based solutions for real-time stress monitoring

RK Nath, H Thapliyal, A Caban-Holt… - IEEE Consumer …, 2020‏ - ieeexplore.ieee.org
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 …

Deep learning approach for detecting work-related stress using multimodal signals

W Seo, N Kim, C Park, SM Park - IEEE Sensors Journal, 2022‏ - ieeexplore.ieee.org
Work-related stress causes serious negative physiological and socioeconomic effects on
employees. Detecting stress levels in a timely manner is important for appropriate stress …

Internet of Things and occupational well-being in industry 4.0: A systematic map** study and taxonomy

R Bavaresco, H Arruda, E Rocha, J Barbosa… - Computers & Industrial …, 2021‏ - Elsevier
A high estimate of not only workplace fatal injuries but also nonfatal injuries and illnesses
via overexertion, and contact with objects, equipment, and machinery workplace has been …

Emotional valence sensing using a wearable facial EMG device

W Sato, K Murata, Y Uraoka, K Shibata, S Yoshikawa… - Scientific reports, 2021‏ - nature.com
Emotion sensing using physiological signals in real-life situations can be practically
valuable. Previous studies have developed wearable devices that record autonomic …