6533b851fe1ef96bd12aa273
RESEARCH PRODUCT
Multi-domain feature extraction for small event-related potentials through nonnegative multi-way array decomposition from low dense array EEG
Tapani RistaniemiAnh Huy PhanJari K. HietanenPiia AstikainenQiang WuQibin ZhaoAndrzej CichockiAndrzej CichockiFengyu Congsubject
AdultMaleComputer Networks and CommunicationsFeature extractionEmotionsMismatch negativityContext (language use)Signal-To-Noise RatioSignal-to-noise ratioEvent-related potentialDecomposition (computer science)HumansMathematicsBrain MappingElectronic Data Processingbusiness.industryta111BrainPattern recognitionElectroencephalographyGeneral MedicineMiddle AgedFeature (computer vision)Evoked Potentials VisualFemaleArtificial intelligencebusinessPhotic StimulationTucker decompositiondescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2013-04-13 | International Journal of Neural Systems |