Electroencephalogram (EEG) measures the neuronal activities in the form of electric
currents that are generated due to the synchronized activity by a group of specialized …

Electroencephalography (EEG) is commonly employed to diagnose and monitor brain
disorders, however, manual analysis is time-consuming. Hence, researchers nowadays are …

Abstract Recently, Electroencephalogram (EEG)-based computer-aided (CAD) techniques
have shown their promise as decision-making tools to diagnose major depressive disorder …

Major depressive disorder (MDD), a debilitating mental illness, could cause functional
disabilities and could become a social problem. An accurate and early diagnosis for …

The early detection of mental stress is critical for efficient clinical treatment. Compared with
traditional approaches, the automatic methods presented in literature have shown …

Electroencephalogram (EEG) signals are well used to characterize the brain states and
actions. In this paper, a novel empirical wavelet transform (EWT) based machine learning …

Predictive models have succeeded in distinguishing between individuals with Alcohol use
Disorder (AUD) and controls. However, predictive models identifying who is prone to …

The frequent excessive drinking of alcohol severely affects the neuronal composition and
working of the brain and consequently developed Alcohol Use Disorder (AUD). Subjects …

Resting-state EEG reflects intrinsic brain activity and its alteration represents changes in
cognition that are related to neuropathology. Thereby, it provides a way of revealing the …

Throughout the years, major advancements have been made in the field of EEG-based
emotion classification. Implementing deep architectures for supervised and unsupervised …