Single trial P300 detection based on the Empirical Mode Decomposition

Teodoro Solis-Escalante; Gerardo Gabriel Gentiletti; Oscar Yañez-Suarez

doi:10.1109/IEMBS.2006.260589

Single trial P300 detection based on the Empirical Mode Decomposition

Conf Proc IEEE Eng Med Biol Soc. 2006:2006:1157-60. doi: 10.1109/IEMBS.2006.260589.

Authors

Teodoro Solis-Escalante¹, Gerardo Gabriel Gentiletti, Oscar Yañez-Suarez

Affiliation

¹ Department of Electrical Engineering, University Autonoma Metropolitana-Itzapalapa, Mexico City, Mexico.

PMID: 17946027
DOI: 10.1109/IEMBS.2006.260589

Abstract

We present a new method for single trial detection of P300 evoked responses. The features used to classify are the coefficients of a least-squares fit of a single EEG epoch to the intrinsical mode functions of an empirical mode decomposition of the averaged event response from a P300 training set. Support vector machines with a linear kernel are used to classify the epochs and receiver operating characteristic analysis is used to evaluate our method's performance.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Adult
Algorithms*
Artificial Intelligence*
Brain Mapping / methods*
Electroencephalography / methods*
Event-Related Potentials, P300 / physiology*
Female
Humans
Male
Pattern Recognition, Automated / methods*
Reproducibility of Results
Sensitivity and Specificity