[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 …

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 …

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 …

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 …

A physiological signal-based method for early mental-stress detection

L Xia, AS Malik, AR Subhani - Cyber-Enabled Intelligence, 2019 - taylorfrancis.com
The early detection of mental stress is critical for efficient clinical treatment. Compared with
traditional approaches, the automatic methods presented in literature have shown …

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 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 …

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 …

Evolutionary inspired approach for mental stress detection using EEG signal

LD Sharma, VK Bohat, M Habib, AZ Ala'M… - Expert systems with …, 2022 - Elsevier
Stress is a pensive issue in our competitive world and it has a huge impact on physical and
mental health. Severe health issues may arise due to long exposure of stress. Hence, its …

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 …