Finally, what is the best filter for P300 detection?

Laurent Bougrain 1 Carolina Saavedra 1 Radu Ranta 2
1 CORTEX - Neuromimetic intelligence
Inria Nancy - Grand Est, LORIA - AIS - Department of Complex Systems, Artificial Intelligence & Robotics
Abstract : According to recent literature, the most appropriate preprocessing to improve P300 detection is still unknown or at least there is no consensus about it. Research papers refer to different low-pass filters, high-pass filters, baseline, subsampling or feature selection. In this paper, using a database with 23 healthy subjects we compare the effect on the letter accuracy (single-trial detection) provided by a linear support vector machine of a high-pass filter with cutoff frequencies from 0.1 to 1 Hz and a low-pass filter with cutoff frequencies from 8 to 60 Hz. According to this study, the best combination is for a band-pass filter of 0.1 to 15 Hz.
Type de document :
Communication dans un congrès
TOBI Workshop lll- Tools for Brain-Computer Interaction - 2012, Mar 2012, Würzburg, Germany. 2012
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Contributeur : Carolina Saavedra <>
Soumis le : lundi 26 novembre 2012 - 16:37:08
Dernière modification le : jeudi 11 janvier 2018 - 06:25:23
Document(s) archivé(s) le : mercredi 27 février 2013 - 03:42:03

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  • HAL Id : hal-00756669, version 1

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Laurent Bougrain, Carolina Saavedra, Radu Ranta. Finally, what is the best filter for P300 detection?. TOBI Workshop lll- Tools for Brain-Computer Interaction - 2012, Mar 2012, Würzburg, Germany. 2012. 〈hal-00756669〉

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