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  • 标题:Ordinal Pattern Analysis Method Applied in a P300-based Brain Computer Interface
  • 本地全文:下载
  • 作者:Mohammed J. Alhaddad ; Mahmoud I Kamel ; Dalal M. Bakheet
  • 期刊名称:International Journal of Multimedia and Ubiquitous Engineering
  • 印刷版ISSN:1975-0080
  • 出版年度:2014
  • 卷号:9
  • 期号:6
  • 页码:81-92
  • DOI:10.14257/ijmue.2014.9.6.09
  • 出版社:SERSC
  • 摘要:Ordinal Pattern analysis has been used recently for extracting qualitative information from non-linear time series and it has been applied to usefully track brain dynamics. In this paper, we proposed a novel P300-based BCI system which depends on ordinal time series analysis as a feature extraction method. We have shown that this method can efficiently revel P300 feature, and therefore good classification accuracies and bitrates have been achieved for healthy and disabled subjects.
  • 关键词:Brain computer interface; P300; Nonlinear analysis; Ordinal pattern; Pattern ; recognition; Signal processing
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