Towards multilevel mental stress assessment using SVM with ECOC: an EEG approach

F Al-Shargie, TB Tang, N Badruddin… - Medical & biological …, 2018 - Springer
Mental stress has been identified as one of the major contributing factors that leads to
various diseases such as heart attack, depression, and stroke. To avoid this, stress …

Mental stress quantification using EEG signals

FM Al-Shargie, TB Tang, N Badruddin… - … conference for Innovation …, 2016 - Springer
Mental stress has been identified as one of the major contributing factors that leads to
various diseases such as heart attack and stroke. To avoid this, stress quantification is very …

Machine learning framework for the detection of mental stress at multiple levels

AR Subhani, W Mumtaz, MNBM Saad, N Kamel… - IEEE …, 2017 - ieeexplore.ieee.org
Mental stress has become a social issue and could become a cause of functional disability
during routine work. In addition, chronic stress could implicate several psychophysiological …

[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 …

A review on mental stress assessment methods using EEG signals

R Katmah, F Al-Shargie, U Tariq, F Babiloni… - Sensors, 2021 - mdpi.com
Mental stress is one of the serious factors that lead to many health problems. Scientists and
physicians have developed various tools to assess the level of mental stress in its early …

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 …

[PDF][PDF] Analysis of single-electrode EEG rhythms using MATLAB to elicit correlation with cognitive stress

CKA Lim, WC Chia - International Journal of Computer Theory …, 2015 - researchgate.net
(EEG) analysis in MATLAB environment with the objective to investigate effectiveness of
cognitive stress recognition algorithm using EEG from single-electrode BCI. 25 subjects' …

A method of identifying chronic stress by EEG

H Peng, B Hu, F Zheng, D Fan, W Zhao, X Chen… - Personal and ubiquitous …, 2013 - Springer
There are a lot of studies on chronic stress assessment applying psychology instruments or
hormones analysis. However, there are only few studies using electroencephalogram …

Selection of neural oscillatory features for human stress classification with single channel EEG headset

SM Umar Saeed, SM Anwar, M Majid… - BioMed research …, 2018 - Wiley Online Library
A study on classification of psychological stress in humans using electroencephalography
(EEG) is presented. The stress is classified using a correlation‐based feature subset …