Review on psychological stress detection using biosignals

G Giannakakis, D Grigoriadis… - IEEE transactions on …, 2019‏ - ieeexplore.ieee.org
This review investigates the effects of psychological stress on the human body measured
through biosignals. When a potentially threatening stimulus is perceived, a cascade of …

Applications of artificial intelligence− machine learning for detection of stress: a critical overview

AFA Mentis, D Lee, P Roussos - Molecular Psychiatry, 2024‏ - nature.com
Psychological distress is a major contributor to human physiology and pathophysiology, and
it has been linked to several conditions, such as auto-immune diseases, metabolic …

Recognising situation awareness associated with different workloads using EEG and eye-tracking features in air traffic control tasks

Q Li, KKH Ng, CM Simon, CY Yiu, M Lyu - Knowledge-Based Systems, 2023‏ - Elsevier
The rate of human errors would increase as air traffic control officers (ATCOs) lose situation
awareness (SA), which could also be affected by their perceived workloads. Recognising …

[HTML][HTML] Frontal lobe real-time EEG analysis using machine learning techniques for mental stress detection

O AlShorman, M Masadeh, MBB Heyat… - Journal of integrative …, 2022‏ - imrpress.com
Stress has become a dangerous health problem in our life, especially in student education
journey. Accordingly, previous methods have been conducted to detect mental stress based …

Stress analysis based on simultaneous heart rate variability and EEG monitoring

ET Attar, V Balasubramanian… - IEEE Journal of …, 2021‏ - ieeexplore.ieee.org
Objective: Stress is a significant risk factor for various diseases such as hypertension, heart
attack, stroke, and even sudden death. Stress can also lead to psychological and behavioral …

Classification of perceived mental stress using a commercially available EEG headband

A Arsalan, M Majid, AR Butt… - IEEE journal of …, 2019‏ - ieeexplore.ieee.org
Human stress is a serious health concern, which must be addressed with appropriate
actions for a healthy society. This paper presents an experimental study to ascertain the …

EEG based classification of long-term stress using psychological labeling

SMU Saeed, SM Anwar, H Khalid, M Majid, U Bagci - Sensors, 2020‏ - mdpi.com
Stress research is a rapidly emerging area in the field of electroencephalography (EEG)
signal processing. The use of EEG as an objective measure for cost effective and …

Exploration of EEG-based depression biomarkers identification techniques and their applications: a systematic review

A Dev, N Roy, MK Islam, C Biswas, HU Ahmed… - IEEe …, 2022‏ - ieeexplore.ieee.org
Depression is the most common mental illness, which has become the major cause of fear
and suicidal mortality or tendencies. Currently, about 10% of the world population has been …

[HTML][HTML] An effective mental stress state detection and evaluation system using minimum number of frontal brain electrodes

O Attallah - Diagnostics, 2020‏ - mdpi.com
Currently, mental stress is a common social problem affecting people. Stress reduces
human functionality during routine work and may lead to severe health defects. Detecting …

EEG-based detection of cognitive load using VMD and LightGBM classifier

P Jain, J Yedukondalu, H Chhabra, U Chauhan… - International Journal of …, 2024‏ - Springer
Cognitive load, which alters neuronal activity, is essential to understanding how the brain
reacts to stress. This work aims to classify electroencephalogram (EEG) signals to detect …