Pushing the Communication Speed Limit of a Noninvasive BCI Speller
Po T. Wang, Christine E. King, An H. Do, Zoran Nenadic

TL;DR
This paper introduces a noninvasive EEG-based BCI system that significantly surpasses previous information transfer rates, enabling faster and more efficient communication for users with severe paralysis.
Contribution
The study demonstrates a novel BCI system achieving over 3 bit/sec ITR with only 8 EEG channels, and practical typing rates up to 12.75 characters per minute, surpassing prior limits.
Findings
Achieved online ITRs over 3 bit/sec with 8 EEG channels.
Enabled typing of a 44-character sentence in less than 3.5 minutes.
Potential for further improvements by optimizing interface parameters.
Abstract
Electroencephalogram (EEG) based brain-computer interfaces (BCI) may provide a means of communication for those affected by severe paralysis. However, the relatively low information transfer rates (ITR) of these systems, currently limited to 1 bit/sec, present a serious obstacle to their widespread adoption in both clinical and non-clinical applications. Here, we report on the development of a novel noninvasive BCI communication system that achieves ITRs that are severalfold higher than those previously reported with similar systems. Using only 8 EEG channels, 6 healthy subjects with little to no prior BCI experience selected characters from a virtual keyboard with sustained, error-free, online ITRs in excess of 3 bit/sec. By factoring in the time spent to notify the subjects of their selection, practical, error-free typing rates as high as 12.75 character/min were achieved, which…
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Taxonomy
TopicsEEG and Brain-Computer Interfaces · Neuroscience and Neural Engineering · Advanced Memory and Neural Computing
