EEG based stress monitoring
Everyone experiences stress in life. Moderate stress can be beneficial to human, however,
excessive stress is harmful to the health. To monitor stress, different methods can be used. In …
excessive stress is harmful to the health. To monitor stress, different methods can be used. In …
Brain computer interface based EEG for emotion recognition system: A systematic review
PR Bhise, SB Kulkarni… - 2020 2nd International …, 2020 - ieeexplore.ieee.org
Currently the Brain-Compute Interface (BCI) is an outstanding research area where the goal
is to create an interaction channel between system and person brain. It provides direct way …
is to create an interaction channel between system and person brain. It provides direct way …
A continuously updated, computationally efficient stress recognition framework using electroencephalogram (EEG) by applying online multitask learning algorithms …
Recognizing the factors that cause stress is a crucial step toward early detection of stressors.
In this regard, several studies make an effort to recognize individuals' stress using an …
In this regard, several studies make an effort to recognize individuals' stress using an …
Pre-processing and feature extraction techniques for EEGBCI applications-a review of recent research
P Sarma, P Tripathi, MP Sarma… - ADBU Journal of …, 2016 - journals.dbuniversity.ac.in
The electrical waveforms generated by brain named electroencephalogram (EEG) signals,
require certain special processing for using them as part of applications. EEG signals need …
require certain special processing for using them as part of applications. EEG signals need …
Dynamic assessment of control room operator's cognitive workload using Electroencephalography (EEG)
In modern plants with high levels of automation, acquiring an adequate mental model of the
process has become a challenge for operators. Studies indicate that sub-optimal decisions …
process has become a challenge for operators. Studies indicate that sub-optimal decisions …
Selection of neural oscillatory features for human stress classification with single channel EEG headset
A study on classification of psychological stress in humans using electroencephalography
(EEG) is presented. The stress is classified using a correlation‐based feature subset …
(EEG) is presented. The stress is classified using a correlation‐based feature subset …
Symmetric convolutional and adversarial neural network enables improved mental stress classification from EEG
R Fu, YF Chen, Y Huang, S Chen… - … on Neural Systems …, 2022 - ieeexplore.ieee.org
Electroencephalography (EEG) is widely used for mental stress classification, but effective
feature extraction and transfer across subjects remain challenging due to its variability. In …
feature extraction and transfer across subjects remain challenging due to its variability. In …
Psychological stimulation for anxious states detection based on EEG-related features
Anxiety affects human capabilities and behavior as much as it affects productivity and quality
of life. It is considered to be the main cause of depression and suicide. Anxious states are …
of life. It is considered to be the main cause of depression and suicide. Anxious states are …
Recent developments towards enhancing process safety: Inherent safety and cognitive engineering
Safety is paramount aspect of any chemical plant. In this paper various approaches to
enhance process safety are evaluated. The specific enhancements include process design …
enhance process safety are evaluated. The specific enhancements include process design …
[HTML][HTML] A single-channel wireless EEG headset enabled neural activities analysis for mental healthcare applications
Electroencephalography (EEG) is a technique of Electrophysiology used in a wide variety of
scientific studies and applications. Inadequately, many commercial devices that are …
scientific studies and applications. Inadequately, many commercial devices that are …