Noble, Sandra-Carina, Ward, Tomás and Ringwood, John (2023) Comparing the Effect of Different Electrode Subsets on P300 Speller Performance. In: 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 1-4 Oct. 2023, Honolulu, Oahu, HI, USA.
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Abstract
The P300 speller is a widely used application in
brain-computer interface research. It has been demonstrated
that the P300 speller can serve as a neurofeedback training
tool for attention enhancement by gradually increasing the
difficulty of the spelling task. This adaptive approach makes
it harder for users to spell words correctly, encouraging them
to improve their attention to counteract the increasing difficulty.
Therefore, the adaptive P300 speller has the potential to serve
as a treatment option for children with ADHD, elderly patients
with dementia, and as a cognitive enhancement tool for healthy
adults. However, the training length, including setup time,
needs to be quick to ensure user acceptability. This study
investigates the effect of different electrode subsets on P300
speller performance, with and without the use of the xDAWN
spatial filter. Results indicate that the xDAWN spatial filter can
improve performance with many electrodes but can decrease
results with fewer than eight electrodes. For scenarios where
near-perfect performance is crucial and many electrodes are
available, a set of 16 electrodes with the xDAWN spatial filter
is recommended. For situations where cost and setup time are
a concern and lower performances are acceptable, using six
electrodes without the spatial filter were found to be sufficient.
Item Type: | Conference or Workshop Item (Paper) |
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Keywords: | P300 speller; brain-computer interface; BCI; electroencephalography; EEG; xDAWN; OpenViBE; |
Academic Unit: | Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Centre for Ocean Energy Research |
Item ID: | 19416 |
Identification Number: | 10.1109/SMC53992.2023.10394509 |
Depositing User: | Professor John Ringwood |
Date Deposited: | 24 Jan 2025 15:27 |
Journal or Publication Title: | 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC) |
Publisher: | IEEE |
Refereed: | Yes |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/19416 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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