cVEP

Context A brain-computer interface (BCI) harnesses a diverse array of control signals, decodable from measured electroencephalogram (EEG) data. An exemplary control signal within this realm is the code-modulated visual evoked potential (c-VEP), which manifests as a response to a pseudo-random sequence of visual flashes.

Context Typically, a brain-computer interface (BCI) necessitates users to direct their gaze towards a target stimulus, such as a symbol on a screen, as seen in a standard matrix speller. This gaze-dependent functionality, however, becomes progressively challenging for certain patient groups, notably individuals with amyotrophic lateral sclerosis (ALS).

Context A brain-computer interface (BCI) harnesses an extensive range of control signals decoded from measured electroencephalogram (EEG) data. Among the fastest BCIs for communication and control applications is the utilization of the code-modulated visual evoked potential (c-VEP).

Context A brain-computer interface (BCI) has the capability to utilize a diverse array of control signals decoded from measured electroencephalogram (EEG) data. One notably effective control signal for achieving both accuracy and speed in BCI performance, particularly in communication and control applications, is the code-modulated visual evoked potential (c-VEP).

The data collection of this study has finished We are investigating novel methods for a visual brain-computer interface (BCI) for communication, which could potentially be used by users who cannot communicate anymore, for instance ALS patients.