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An EEG-based functional connectivity measure for automatic detection of alcohol use disorder.

, , , , and . Artif. Intell. Medicine, (2018)

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Detrended fluctuation analysis for major depressive disorder., , , , and . EMBC, page 4162-4165. IEEE, (2015)Automatic diagnosis of alcohol use disorder using EEG features., , , , and . Knowl. Based Syst., (2016)A machine learning framework involving EEG-based functional connectivity to diagnose major depressive disorder (MDD)., , , and . Medical Biol. Eng. Comput., 56 (2): 233-246 (2018)P300 intensities and latencies for major depressive disorder detection., , , and . ICSIPA, page 542-545. IEEE, (2015)EEG classification of physiological conditions in 2D/3D environments using neural network., , , and . EMBC, page 4235-4238. IEEE, (2013)Editorial: EEG-based assistive robotics for rehabilitation., , , and . Frontiers Neurorobotics, (September 2022)Machine Learning Framework for the Detection of Mental Stress at Multiple Levels., , , , and . IEEE Access, (2017)Review of challenges associated with the EEG artifact removal methods., , and . Biomed. Signal Process. Control., (2021)Electroencephalogram (EEG)-based computer-aided technique to diagnose major depressive disorder (MDD)., , , , , and . Biomed. Signal Process. Control., (2017)A Comparative Analysis of Preprocessing Methods for Single-Trial Event Related Potential Detection., , and . ICANN (1), volume 11727 of Lecture Notes in Computer Science, page 89-101. Springer, (2019)