EEG Signal Pre-Processing for the P300 Speller
Martín Patrone, Federico Lecumberry, Alvaro Martín Menoni, Ignacio Ramírez Paulino, Gadiel Seroussi
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications : 20th Iberoamerican Congress, CIARP 2015, Montevideo, Uruguay, November 9-12, 2015, Proceedings, Lecture Notes in Computer Science, Volume 9423, , Springer, , page 559--566- 2015
Research group(s):  Tratamiento de Imagenes (gti)
Department(s):  Procesamiento de Señales
Download the publication : PLMRS15.pdf [476KB]  


One of the workhorses of Brain Computer Interfaces (BCI) is the P300 speller, which allows a person to spell text by looking at the corresponding letters that are laid out on a flashing grid. The device functions by detecting the Event Related Potentials (ERP), which can be measured in an electroencephalogram (EEG), that occur when the letter that the subject is looking at flashes (unexpectedly). In this work, after a careful analysis of the EEG signals involved, we propose a preprocessing method that allows us to improve on the state-of-the-art results for this kind of applications. Our results are comparable, and sometimes better, than the best results published, and do not require a feature (channel) selection step, which is extremely costly, and which must be applied to each user of the P300 speller separately

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» Martín Patrone
» Federico Lecumberry
» Alvaro Martín Menoni
» Ignacio Ramírez Paulino
» Gadiel Seroussi