Skip to Main content Skip to Navigation
Conference papers

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.
Complete list of metadata

Cited literature [2 references]  Display  Hide  Download

https://hal.inria.fr/hal-00756669
Contributor : Carolina Saavedra Connect in order to contact the contributor
Submitted on : Monday, November 26, 2012 - 4:37:08 PM
Last modification on : Friday, February 4, 2022 - 3:12:32 AM
Long-term archiving on: : Wednesday, February 27, 2013 - 3:42:03 AM

Identifiers

  • HAL Id : hal-00756669, version 1

Citation

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. ⟨hal-00756669⟩

Share

Metrics

Record views

559

Files downloads

2613