Committee machines and quadratic B-spline wavelet for the P300 speller paradigm
In this study we propose a new approach to analyze data from the P300 speller paradigm using the quadratic B-spline wavelet coefficients and committee machines technique. Data set II from the BCI competition 2005 were used. The data were decomposed into five-octave frequency bands. We used coefficie...
Gespeichert in:
Hauptverfasser: | , , |
---|---|
Format: | Tagungsbericht |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | In this study we propose a new approach to analyze data from the P300 speller paradigm using the quadratic B-spline wavelet coefficients and committee machines technique. Data set II from the BCI competition 2005 were used. The data were decomposed into five-octave frequency bands. We used coefficients between 4-8 Hz (theta) and 0.5-4 Hz (delta) frequency ranges as features. Extracted features used as inputs into committee machines (CM) based on LDA, MLP and SVM. This algorithm achieved an accuracy of 94% in P300 detection. We used only 7 electrodes of 64 recorded electrodes, Therefore it can noticeably reduce the time and cost of EEG measurement. |
---|---|
ISSN: | 2161-5322 2161-5330 |
DOI: | 10.1109/AICCSA.2008.4493631 |