Improving BCI performance by modified common spatial patterns with robustly averaged covariance matrices

  • M. Kawanabe
  • , C. Vidaurre*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

21 Citations (Scopus)

Abstract

EEG single-trial analysis requires methods that are robust against noise and disturbance. In this contribution, based on the framework of robust statistics, we propose a simple modification of Common Spatial Patterns by the robust calculation of covariance estimators against outlying trials caused, for example, by artifacts. We tested the proposed robust filters with EEG recordings from 80 subjects and obtained, not only a significant improvement in performance, but for some subjects, also better neuro-physiologically interpretable filters.

Original languageEnglish
Title of host publicationWorld Congress on Medical Physics and Biomedical Engineering
Subtitle of host publicationNeuroengineering, Neural Systems, Rehabilitation and Prosthetics
PublisherSpringer Verlag
Pages279-282
Number of pages4
Edition9
ISBN (Print)9783642038884
DOIs
Publication statusPublished - 2009
Externally publishedYes
EventWorld Congress on Medical Physics and Biomedical Engineering: Neuroengineering, Neural Systems, Rehabilitation and Prosthetics - Munich, Germany
Duration: 7 Sept 200912 Sept 2009

Publication series

NameIFMBE Proceedings
Number9
Volume25
ISSN (Print)1680-0737

Conference

ConferenceWorld Congress on Medical Physics and Biomedical Engineering: Neuroengineering, Neural Systems, Rehabilitation and Prosthetics
Country/TerritoryGermany
CityMunich
Period7/09/0912/09/09

Keywords

  • Brain-Computer Interface BCI
  • Common Spatial Patterns CSP
  • Electro-encephalogram EEG
  • Robust average covariance

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