Brain computer interfaces (BCIs) have been applied to sensorimotor systems for many
years. However, BCI technology has broad potential beyond sensorimotor systems. The …

It is hypothesized that disparate brain regions interact via synchronous activity to control
behavior. The nature of these interconnected ensembles remains an area of active …

Objective: In this study, a robust method is developed for frequency-specific
electroencephalogram (EEG) phase extraction using the analytic representation of the EEG …

Electroencephalogram (EEG) based brain–computer interface (BCI) is an augmented
communication modality between the brain and computer that exclusively depends on …

The paper presents a novel concept implementing a phase locking value index estimation in
application to brain-computer interfacing (BCI) motor imagery paradigm. We propose to …

Human-machine interaction is a rapidly expanding field which benefits from automatic
emotion recognition. Therefore, methods that can automatically detect the emotional state of …

Emotion recognition is essential for psychological and psychiatric applications and for
improving the quality of human-machine interaction. Therefore, a simple and reliable …

Abstract Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease characterized
by motor neurons degeneration, which reduces muscular force, being very difficult to …

In the scope of EEG applications such as Brain Computer Interfaces (BCI) or the evaluation
of epileptic activity, the detection of event-related potentials (ERP) and associated event …

The brain is an extremely complex organ and probably one of the greatest mysteries of the
universe that has baffled scientists and thinkers for centuries. Today, one of the ways in …