Brain-machine interfaces (BMIs) combine methods, approaches, and concepts derived from
neurophysiology, computer science, and engineering in an effort to establish real-time …

Brain computer interfaces (BCI) provide a direct communication link between the brain and a
computer or other external devices. They offer an extended degree of freedom either by …

Brain-computer interfaces (BCIs) using signals acquired with intracortical implants have
achieved successful high-dimensional robotic device control useful for completing daily …

Brain-computer interface (BCI) technologies aim to provide a bridge between the human
brain and external devices. Prior research using non-invasive BCI to control virtual objects …

Objective. At the balanced intersection of human and machine adaptation is found the
optimally functioning brain–computer interface (BCI). In this study, we report a novel …

Many studies over the past two decades have shown that people can use brain signals to
convey their intent to a computer using brain-computer interfaces (BCIs). BCI systems extract …

Goal: Sensorimotor-based brain–computer interfaces (BCIs) have achieved successful
control of real and virtual devices in up to three dimensions; however, the traditional sensor …

In this paper we review classification algorithms used to design brain–computer interface
(BCI) systems based on electroencephalography (EEG). We briefly present the commonly …

Objective. To develop and implement a novel approach which combines the technique of
scout EEG source imaging (ESI) with convolutional neural network (CNN) for the …

Brain–computer interfaces (BCIs) aim at providing a non-muscular channel for sending
commands to the external world using the electroencephalographic activity or other …