Communication, neuro-prosthetics, and environmental control are just a few applications for
disabled persons who use robots and manipulators that use brain-computer interface (BCI) …

The steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) has
received extensive attention in research for the less training time, excellent recognition …

Schizophrenia is a mental disorder that causes adverse effects on the mental capacity of a
person, emotional inclinations, and quality of personal and social life. The official statistics …

Optimal feature extraction for multi-category motor imagery brain-computer interfaces (MI-
BCIs) is a research hotspot. The common spatial pattern (CSP) algorithm is one of the most …

It is difficult to identify optimal cut-off frequencies for filters used with the common spatial
pattern (CSP) method in motor imagery (MI)-based brain-computer interfaces (BCIs). Most …

Recent advances in deep learning have had a methodological and practical impact on brain-
computer interface (BCI) research. Among the various deep network architectures …

This study aimed to develop an intuitive gait-related motor imagery (MI)-based hybrid brain-
computer interface (BCI) controller for a lower-limb exoskeleton and investigate the …

Controlling of a robotic arm using a brain-computer interface (BCI) is one of the most
impressive applications. In this study, a novel method for the classification of motor imaging …

Motor imagery-based brain-computer interfaces (MI-BCIs) features are generally extracted
from a wide fixed frequency band and time window of EEG signal. The performance suffers …

Brain-computer interface (BCI) is a viable alternative communication strategy for patients of
neurological disorders as it facilitates the translation of human intent into device commands …