A review on evaluating mental stress by deep learning using EEG signals

Mental stress is a common problem that affects individuals all over the world. Stress reduces human functionality during routine work and may lead to severe health defects. Early detection of stress is important for preventing diseases and other negative health-related consequences of stress. Severa...

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Bibliographic Details
Published in:	Neural computing & applications Vol. 36; no. 21; pp. 12629 - 12654
Main Authors:	Badr, Yara, Tariq, Usman, Al-Shargie, Fares, Babiloni, Fabio, Al Mughairbi, Fadwa, Al-Nashash, Hasan
Format:	Journal Article
Language:	English
Published:	London Springer London 01.07.2024 Springer Nature B.V
Subjects:	Algorithms Artificial Intelligence Artificial neural networks Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Deep learning Electroencephalography Graph neural networks Graphical representations Image Processing and Computer Vision Machine learning Medical imaging Neural networks Probability and Statistics in Computer Science Psychological stress Review Deep learning CNN Hybrid model LSTM EEG Mental stress
ISSN:	0941-0643, 1433-3058
Online Access:	Get full text
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