4.4 Article

Toward enhanced P300 speller performance

期刊

JOURNAL OF NEUROSCIENCE METHODS
卷 167, 期 1, 页码 15-21

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.jneumeth.2007.07.017

关键词

brain-computer interface; event related potentials; P300 speller; stepwise linear discrimmant analysis

资金

  1. NIBIB NIH HHS [R01 EB000856-01, R01 EB000856-04, R01 EB000856-03, R01 EB000856-02, EB00856, R01 EB000856-05, R01 EB000856] Funding Source: Medline
  2. NICHD NIH HHS [HD30146, R01 HD030146-08, R01 HD030146-09, R01 HD030146-06, R01 HD030146-07, R01 HD030146, R01 HD030146-10] Funding Source: Medline

向作者/读者索取更多资源

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. (C) 2007 Elsevier B.V. All rights reserved.

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