A brain-computer interface (BCI) is a device that enables severely disabled people to communicate and interact with their environments using their brain waves. Most research investigating BCI in humans have used scalp-recorded electroencephalography (EEG). We have recently demonstrated that signals from intracranial electrocorticography (ECoG) and stereotactic depth electrodes (SDE) in the hipp...

Brain Computer Interface (BCI) systems have gained great visibility in the last years for the possibility they give to severly disabled people to have a normal interaction with the external environment. However every group implements its own BCI system and this leads to a lack of a common language concerning methods, names of BCI components, file formats, tools etc..., with an obvious difficult...

The idea of robotic therapy has been considered as a possible rehabilitation strategy to facilitate recovery the patients with disability and it can represent an efficient treatment. Brain-computer interface (BCI) is known advanced technology great potential in therapeutic assistive robots. This paper presented review application BCI systems through combination electroencephalography (EEG) func...

Brain-computer interface (BCI) technologies, or technologies that use online brain signal processing, have a great promise to improve human interactions with computers, their environment, and even other humans. Despite this promise, there are no current serious BCI technologies in widespread use, due to the lack of robustness in BCI technologies. The key neural aspect of this lack of robustness...

The steadily growing field of brain-computer interfacing (BCI) may develop useful technologies, with a potential impact not only on individuals, but also on society as a whole. At the same time, the development of BCI presents significant ethical and legal challenges. In a workshop during the 4th International BCI meeting (Asilomar, California, 2010), six panel members from various BCI laborato...

Although the feasibility of brain-computer interface (BCI) systems based on steady-state visual evoked potential (SSVEP) has been extensively investigated, only a few studies have evaluated its clinical feasibility in patients with locked-in syndrome (LIS), who are the main targets of BCI technology. The main objective of this case report was to share our experiences of SSVEP-based BCI experime...

BACKGROUND Motor imagery (MI) is the mental performance of movement without muscle activity. It is generally accepted that MI and motor performance have similar physiological mechanisms. PURPOSE To investigate the activity and excitability of cortical motor areas during MI in subjects who were previously trained with an MI-based brain-computer interface (BCI). SUBJECTS AND METHODS Eleven he...

BACKGROUND Brain-Computer Interface (BCI) is a set of technologies that are of increasing interest to researchers. BCI has been proposed as assistive technology for individuals who are non-communicative or paralyzed, such as those with amyotrophic lateral sclerosis or spinal cord injury. The technology has also been suggested for enhancement and entertainment uses, and there are companies curre...

The concepts of (internal, external) cubic soft sets, P-cubic (resp. R-cubic) soft subsets, R-union (resp. R-intersection, P-union, Pintersection) of cubic soft sets, and the complement of a cubic soft set are introduced, and several related properties are investigated. We apply the notion of cubic soft sets to BCK/BCI-algebras, and introduce the notion of cubic soft BCK/BCI-algebras. A charact...

We introduce BCI structures which are extensions of 1-sorted structure and are systems 〈 a carrier, an internal complement 〉, where the carrier is a set and the internal complement is a binary operation on the carrier. Let us note that there exists a BCI structure which is non empty and strict. Let A be a BCI structure and let x, y be elements of A. The functor x \ y yielding an element of A is...