Mental-tasks based brain–computer interfaces (MT-BCIs) allow their users to interact with an
external device solely by using brain signals produced through mental tasks. While MT-BCIs …

A tight coupling between the neuronal activity and the cerebral blood flow (CBF) is the
motivation of many hemodynamic response (HR)-based neuroimaging modalities. The …

Brain–computer interfaces (BCIs) allow control of various applications or external devices
solely by brain activity, eg, measured by electroencephalography during motor imagery …

Motor imagery based brain-computer interface (MI-BCI) has been studied for improvement of
patients' motor function in neurorehabilitation and motor assistance. However, the difficulties …

The paper presents the results of a comparative study of the artifact subspace re-
construction (ASR) method and two other popular methods dedicated to correct EEG …

Recent advances in brain–computer interface technology to restore and rehabilitate
neurologic function aim to enable persons with disabling neurologic conditions to …

Purpose Epilepsy is one of the most common neurological diseases and its cause is not
unequivocal. Thus, additional methods and searches that may help to diagnose the disease …

Motor imagery-based brain-computer interfaces (MI-BCI) have been proposed as a means
for stroke rehabilitation, which combined with virtual reality allows for introducing game …

Incorporating brain-computer interfaces (BCIs) into daily life requires reducing the reliance
of decoding algorithms on the calibration or enabling calibration with the minimal burden on …

Objective. Training plays a significant role in motor imagery (MI), particularly in applications
such as Motor Imagery-based Brain–Computer Interface (MIBCI) systems and rehabilitation …