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 …

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 …

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 …

Emotional stress state detection using genetic algorithm-based feature selection on EEG signals

D Shon, K Im, JH Park, DS Lim, B Jang… - International Journal of …, 2018 - mdpi.com
In recent years, stress analysis by using electro-encephalography (EEG) signals
incorporating machine learning techniques has emerged as an important area of research …

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 …

A hybrid feature pool-based emotional stress state detection algorithm using EEG signals

MJ Hasan, JM Kim - Brain sciences, 2019 - mdpi.com
Human stress analysis using electroencephalogram (EEG) signals requires a detailed and
domain-specific information pool to develop an effective machine learning model. In this …

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 …

Stress classification using brain signals based on LSTM network

N Phutela, D Relan, G Gabrani… - Computational …, 2022 - Wiley Online Library
The early diagnosis of stress symptoms is essential for preventing various mental disorder
such as depression. Electroencephalography (EEG) signals are frequently employed in …

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 …