People with severe neurological impairments face many challenges in sensorimotor
functions and communication with the environment; therefore they have increased demand …

The electroencephalogram (EEG) was invented almost 100 years ago and is still a method
of choice for many research questions, even applications—from functional brain imaging in …

The study aimed at revealing electrophysiological indicators of mental workload and fatigue
during prolonged usage of a P300 brain–computer interface (BCI). Mental workload was …

Brain–computer interfaces (BCIs) are a form of technology that read a user's neural signals
to perform a task, often with the aim of inferring user intention. They demonstrate potential in …

Albeit research on brain-computer interfaces (BCI) for controlling applications has expanded
tremendously, we still face a translational gap when bringing BCI to end-users. To bridge …

In this paper, we propose a highly accurate and fast spelling system that employs multi-
modal electroencephalography-electrooculography (EEG-EOG) signals and visual feedback …

The history of brain-computer interfaces (BCI) developed from a mere idea in the days of
early digital technology to today's highly sophisticated approaches for signal detection …

Objective Despite intense brain-computer interface (BCI) research for> 2 decades, BCIs
have hardly been established at patients' homes. The current study aimed at demonstrating …

Background Multichannels used in brain–computer interface (BCI) systems contain
redundant information and cause inconvenience for practical application. Channel selection …

Background People with severe disabilities, eg due to neurodegenerative disease, depend
on technology that allows for accurate wheelchair control. For those who cannot operate a …