A brain-computer interface (BCI) is a hardware and software communications system that
permits cerebral activity alone to control computers or external devices. The immediate goal …

Background An uninterrupted channel of communication and control between the human
brain and electronic processing units has led to an increased use of Brain Computer …

How neural correlates of movements are represented in the human brain is of ongoing
interest and has been researched with invasive and non-invasive methods. In this study, we …

Goal: Traditional visual brain–computer interfaces (BCIs) preferred to use large-size stimuli
to attract the user's attention and elicit distinct electroencephalography (EEG) features …

Objective. In recent years, brain–computer interface (BCI) systems based on
electroencephalography (EEG) have developed rapidly. However, the decoding of voluntary …

Recent advancements in brain computer interfaces (BCI) have demonstrated control of
robotic systems by mental processes alone. Together with invasive BCI …

This paper addresses the prediction of epileptic seizures from the online analysis of EEG
data. This problem is of paramount importance for the realization of monitoring/control units …

Brain computer interface (BCI) is an assistive technology, which decodes
neurophysiological signals generated by the human brain and translates them into control …

Support vector machines (SVMs) are widely used classifiers for detecting physiological
patterns in human–computer interaction (HCI). Their success is due to their versatility …

Using low-frequency time-domain electroencephalographic (EEG) signals we show, for the
same type of upper limb movement, that goal-directed movements have different neural …