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

, , , , , and . Neural Comput. Appl., 36 (21): 12629-12654 (July 2024)

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Vigilance Differentiation from EEG Complexity Attributes., , , , and . ICONIP (4), volume 9492 of Lecture Notes in Computer Science, page 199-206. Springer, (2015)EEG signal modeling using adaptive Markov process amplitude., , , and . IEEE Trans. Biomed. Eng., 51 (5): 744-751 (2004)Assessment of Mental Stress During 240-Days Isolation and Confined Environment using EEG Signals., , , , , and . NER, page 1-5. IEEE, (2023)Inverse Problem in Geometrical Modeling of the Sources of Medical Signals., , and . Shape Modeling International, page 179-185. IEEE Computer Society, (1999)Discriminating Fake and Real Smiles Using Electroencephalogram Signals With Convolutional Neural Networks., , , and . IEEE Access, (2022)Quantification of the bone healing process using information of B-Mode ultrasound image., , , , and . EMBC, page 4442-4445. IEEE, (2012)Classification of Mental Stress Levels using EEG Connectivity and Convolutional Neural Networks., , , , , and . EMBC, page 1-5. IEEE, (2023)Stress Assessment and Mitigation using fNIRS and Binaural Beat Stimulation., , , , , and . SMC, page 2678-2683. IEEE, (2021)Measuring vigilance decrement using computer vision assisted eye tracking in dynamic naturalistic environments., , , , , and . EMBC, page 2478-2481. IEEE, (2017)Detection of Astronaut's Stress Levels During 240-Day Confinement using EEG Signals and Machine Learning., , , , , and . EMBC, page 1-6. IEEE, (2023)