Toward enhanced P300 speller performance

Toward enhanced P300 speller performance

This study examines the effects of expanding the classical P300 feature space on the classification performance of data collected from a P300 speller paradigm [Farwell LA, Donchin E. Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials. Electroenceph...

Full description

Saved in:
Bibliographic Details
Published in:Journal of neuroscience methods 2008-01, Vol.167 (1), p.15-21
Main Authors: Krusienski, D.J., Sellers, E.W., McFarland, D.J., Vaughan, T.M., Wolpaw, J.R.
Format: Article
Language:eng
Subjects:
Adult
Algorithms
Brain - physiology
Brain Mapping
Brain–computer interface
Discriminant Analysis
Electrodes
Electroencephalography - methods
Event related potentials
Event-Related Potentials, P300 - physiology
Female
Humans
Male
Middle Aged
P300 speller
Pattern Recognition, Visual - physiology
Photic Stimulation
Stepwise linear discriminant analysis
User-Computer Interface
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This study examines the effects of expanding the classical P300 feature space on the classification performance of data collected from a P300 speller paradigm [Farwell LA, Donchin E. Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials. Electroenceph Clin Neurophysiol 1988;70:510–23]. Using stepwise linear discriminant analysis (SWLDA) to construct a classifier, the effects of spatial channel selection, channel referencing, data decimation, and maximum number of model features are compared with the intent of establishing a baseline not only for the SWLDA classifier, but for related P300 speller classification methods in general. By supplementing the classical P300 recording locations with posterior locations, online classification performance of P300 speller responses can be significantly improved using SWLDA and the favorable parameters derived from the offline comparative analysis.
ISSN:0165-0270
1872-678X