Auditory Steady-State Response Stimuli based BCI Application - The Optimization of the Stimuli Types and Lengths
This work addresses the optimization of aBCI stimuli for individual subjects, representing an incremental improvement in the field.
The authors tackled the problem of improving auditory brain-computer interfaces (aBCIs) by optimizing auditory steady-state response (ASSR) stimuli types and lengths, achieving the ability to use stimuli as short as half a second.
We propose a method for an improvement of auditory BCI (aBCI) paradigm based on a combination of ASSR stimuli optimization by choosing the subjects' best responses to AM-, flutter-, AM/FM and click-envelope modulated sounds. As the ASSR response features we propose pairwise phase-locking-values calculated from the EEG and next classified using binary classifier to detect attended and ignored stimuli. We also report on a possibility to use the stimuli as short as half a second, which is a step forward in ASSR based aBCI. The presented results are helpful for optimization of the aBCI stimuli for each subject.