Mental stress classification based on selected electroencephalography channels using correlation coefficient of Hjorth parameters

• Main Authors: Hag, Ala, Al-Shargie, Fares, Handayani, Dini Oktarina Dwi, Asadi, Houshyar
• Format: Article
• Language: English; English
• Published: Multidisciplinary Digital Publishing Institute (MDPI) 2023
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://irep.iium.edu.my/115472/7/115472_Mental%20stress%20classification%20based%20on%20selected%20electroencephalography_SCOPUS.pdf; http://irep.iium.edu.my/115472/8/115472_Mental%20stress%20classification%20based%20on%20selected%20electroencephalography.pdf; http://irep.iium.edu.my/115472/; https://www.mdpi.com/2076-3425/13/9/1340/pdf?version=1695176592; https://doi.org/10.3390/brainsci13091340

Electroencephalography (EEG) signals offer invaluable insights into diverse activities of the human brain, including the intricate physiological and psychological responses associated with mental stress. A major challenge, however, is accurately identifying mental stress while mitigating the limita...