Mental stress classification based on selected EEG channels using Correlation Coefficient of Hjorth Parameters
Electroencephalography (EEG) signals provide valuable insights into various activities of the human brain, including the detection of mental stress, which is a complex physiological and psychological response. However, the challenge lies in identifying mental stress accurately while mitigating the l...
Saved in:
Main Authors: | Hag, Ala, Fares, Al-Shargie, Handayani, Dini Oktarina Dwi, Houshyar, Asadi |
---|---|
Format: | Article |
Language: | English English English |
Published: |
MDPI
2023
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/105573/7/105573_Mental%20stress%20classification%20based.pdf http://irep.iium.edu.my/105573/13/105573_Mental%20Stress%20Classification%20Based%20on%20Selected%20Electroencephalography%20Channels%20Using%20Correlation_Scopus.pdf http://irep.iium.edu.my/105573/19/105573_Mental%20stress%20classification%20based.pdf http://irep.iium.edu.my/105573/ https://www.mdpi.com/2076-3425/13/9/1340 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhancing EEG-Based Mental Stress State Recognition Using
an Improved Hybrid Feature Selection Algorithm
by: Hag, Ala, et al.
Published: (2021) -
EEG Mental Stress Assessment Using Hybrid Multi-Domain
Feature Sets of Functional Connectivity Network and
Time-Frequency Features
by: Handayani, Dini
Published: (2021) -
Statistical approach for a complex emotion recognition based on EEG features
by: Dwi Handayani, Dini Oktarina, et al.
Published: (2016) -
Assessment of mental stress effects on prefrontal cortical activities using canonical correlation analysis: an fNIRS-EEG study
by: Al-Shargie, Fares, et al.
Published: (2017) -
Profiling of pornography addiction among children using EEG signals: A systematic literature review
by: Handayani, Dini
Published: (2020)