In the recent context of Brain-computer interface (BCI), it has been widely known that
transferring the knowledge of existing subjects to a new subject can effectively alleviate the …

Motor imagery (MI) requires subjects to visualize the requested motor behaviors, which
involves a large-scale network that spans multiple brain areas. The corresponding cortical …

Motor imagery (MI)-based brain-computer interfaces (BCIs) have been widely used for
rehabilitation of motor abilities and prosthesis control for patients with motor impairments …

Background Common spatial pattern (CSP) is most widely used in motor imagery based
brain-computer interface (BCI) systems. In conventional CSP algorithm, pairs of the …

EEG pattern recognition is an important part of motor imagery‐(MI‐) based brain computer
interface (BCI) system. Traditional EEG pattern recognition algorithm usually includes two …

Brain-computer interface (BCI) aims to translate human intention into a control output signal.
In motor-imaginary (MI) BCI, the imagination of movement modifies the cortex brain activity …

Objective. This study aims to propose and validate a subject-specific approach to recognize
two different cognitive neural states (relax and pedaling motor imagery (MI)) by selecting the …

Multichannel frequency detection methods for SSVEP-based BCI have received increasing
interest in recent years. Among the alternative methods, multivariate synchronization index …

The common spatial patterns (CSP) algorithm is one of the most frequently used and
effective spatial filtering methods for extracting relevant features for use in motor imagery …

Electroencephalogram (EEG) is one of the most widely used brain computer interface (BCI)
approaches. Despite the success of existing EEG approaches in brain state recognition …