An electroencephalography (EEG)-based brain–computer interface (BCI) is a system that
provides a pathway between the brain and external devices by interpreting EEG. EEG …

Objective. Processing strategies are analyzed with respect to the classification of
electroencephalographic signals related to brain-computer interfaces (BCIs) based on motor …

In this study, we present a new Deep Learning (DL) architecture for Motor Imagery (MI)
based Brain Computer Interfaces (BCIs) called EEGSym. Our implementation aims to …

After a stroke, several mechanisms of neural plasticity can be activated, which may lead to
significant recovery. Rehabilitation therapies aim to restore surviving tissue over time and …

Depression, or major depressive disorder, is a common mental disorder that affects
individuals' behavior, mood, and physical health, and its prevalence has increased during …

A brain–computer interface (BCI) is a computer-based system that allows for communication
between the brain and the outer world, enabling users to interact with computers using …

This study aims to analyze the effects of indoor environmental quality (IEQ) factors with
simultaneous changes in illuminance and noise levels on building occupants' physiological …

The brain-computer interfaces (BCIs) based on steady-state visual evoked potential
(SSVEP) have been extensively explored due to their advantages in terms of high …

This study explores the convergence of biometric analytics and machine learning in online
education, where the level of student participation directly impacts academic achievement …

Abstract Attention Deficit/Hyperactivity Disorder (ADHD) is a common neurodevelopmental
disorder of childhood and its effects mostly continue to adulthood. Neurofeedback training …