Merging Brain-Computer Interface P300 speller datasets: Perspectives and pitfalls

Merging Brain-Computer Interface P300 speller datasets: Perspectives and pitfalls

BackgroundIn the last decades, the P300 Speller paradigm was replicated in many experiments, and collected data were released to the public domain to allow research groups, particularly those in the field of machine learning, to test and improve their algorithms for higher performances of brain-comp...

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Bibliographic Details
Main Authors: Luigi Bianchi, Raffaele Ferrante, Yaoping Hu, Guillermo Sahonero-Alvarez, Nusrat Z. Zenia
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-12-01
Series:Frontiers in Neuroergonomics
Subjects:
fair principles
BCI
P300
speller
dataset
database
Online Access:https://www.frontiersin.org/articles/10.3389/fnrgo.2022.1045653/full

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