論文

査読有り
2011年

STATIONARY COMMON SPATIAL PATTERNS: TOWARDS ROBUST CLASSIFICATION OF NON-STATIONARY EEG SIGNALS

2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING
  • Wojciech Wojcikiewicz
  • ,
  • Carmen Vidaurre
  • ,
  • Motoaki Kawanabe

開始ページ
577
終了ページ
580
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1109/ICASSP.2011.5946469
出版者・発行元
IEEE

Brain-Computer Interfaces (BCIs) allow a user to control a computer application by brain activity as acquired, e. g., by EEG. A standard step in a BCI system is to project the EEG signals to a low-dimensional subspace using Common Spatial Patterns (CSP). However, non-stationarities in the data can negatively affect the performance of CSP, i.e. variation of the signal properties within and across experimental sessions coming from electrode artefacts, alpha or muscular activity, or fatigue may result in suboptimal projection directions. We alleviate this problem by regularizing CSP towards stationary subspaces and show that this especially increases classification accuracy of people who are not able to control a BCI i.e. have more than 30% of error. These users very often show non-stationarities in their EEG signals.

Web of Science ® 被引用回数 : 14

リンク情報
DOI
https://doi.org/10.1109/ICASSP.2011.5946469
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000296062400145&DestApp=WOS_CPL
URL
http://dblp.uni-trier.de/db/conf/icassp/icassp2011.html#conf/icassp/WojcikiewiczVK11
ID情報
  • DOI : 10.1109/ICASSP.2011.5946469
  • ISSN : 1520-6149
  • DBLP ID : conf/icassp/WojcikiewiczVK11
  • Web of Science ID : WOS:000296062400145

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