Brain-Computer Interface System Based on P300 Processing with Convolutional Neural Network, Novel Speller, and Low Number of Electrodes
Sign Up to like & getrecommendations! Published in 2020 at "Cognitive Computation"
DOI: 10.1007/s12559-020-09744-2
Abstract: The P300 wave has been successfully employed to develop brain-computer interfaces (BCI) for speller applications. However, methods to analyze the P300 require computers with high processing capability because they are computationally complex and require many… read more here.
Keywords: system; based p300; network; bci speller ... See more keywords
Novel sequential BCI speller based on ERPs and event-related slow cortical potentials
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/add772
Abstract: Objectives. One of the most effective brain–computer interfaces (BCI) spellers, Donchin and Farwell’s matrix speller, uses visual stimulus presentation and the oddball effect, eliciting P300 event-related potentials to rare and randomly presented stimuli of interest.… read more here.
Keywords: speller; presentation; bci speller; event related ... See more keywords
A Synchronous Motor Imagery Based Neural Physiological Paradigm for Brain Computer Interface Speller
Sign Up to like & getrecommendations! Published in 2017 at "Frontiers in Human Neuroscience"
DOI: 10.3389/fnhum.2017.00274
Abstract: Brain Computer Interface (BCI) speller is a typical BCI-based application to help paralyzed patients express their thoughts. This paper proposed a novel motor imagery based BCI speller with Oct-o-spell paradigm for word input. Furthermore, an… read more here.
Keywords: motor imagery; computer interface; control; bci speller ... See more keywords