Multi-Domain Feature Extraction for Small Event-Related potentials through Nonnegative Multi-Way Array Decomposition from Low Dense Array EEG

نویسندگان

  • Fengyu Cong
  • Anh Huy Phan
  • Piia Astikainen
  • Qibin Zhao
  • Qiang Wu
  • Jari K. Hietanen
  • Tapani Ristaniemi
  • Andrzej Cichocki
چکیده

Non-negative Canonical Polyadic decomposition (NCPD) and non-negative Tucker decomposition (NTD) were compared for extracting the multi-domain feature of visual mismatch negativity (vMMN), a small event-related potential (ERP), for the cognitive research. Since signal-to-noise ratio in vMMN is low, NTD outperformed NCPD. Moreover, we proposed an approach to select the multi-domain feature of an ERP among all extracted features and discussed determination of numbers of extracted components in NCPD and NTD regarding the ERP context.

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عنوان ژورنال:
  • International journal of neural systems

دوره 23 2  شماره 

صفحات  -

تاریخ انتشار 2013