This paper provides a comprehensive overview of the state-of-the-art in brain–computer
interfaces (BCI). It begins by providing an introduction to BCIs, describing their main …

Secondary micro (nano) plastics generated from the degradation of plastics pose a major
threat to environmental and human health. Amid the growing research on microplastics to …

Parkinson's disease (PD) is an incurable neurological disorder that degenerates the
cerebrospinal nervous system and hinders motor functions. Electroencephalography (EEG) …

This has become a significant study area in recent years because of its use in brain-machine
interaction (BMI). The robustness problem of emotion classification is one of the most basic …

Recent advancements in sensing, measurement, and computing technologies have
significantly expanded the potential for signal-based applications, leveraging the synergy …

Studying the activity of organs during aging is a very important research area. On the other
hand, simultaneous analysis of the activities of various organs is important to understand …

Classroom EEG recordings classification has the capacity to significantly enhance
comprehension and learning by revealing complex neural patterns linked to various …

The recognition of emotions heavily relies on important factors such as human facial
expressions and physiological signals, including electroencephalogram and …

Objective Recognizing emotions from electroencephalography (EEG) signals is a
challenging task due to the complex, nonlinear, and nonstationary characteristics of brain …

It is of great interest to develop advanced sensory technologies allowing non-invasive
monitoring of neural correlates of cognitive processing in people performing everyday tasks …