MULTI-DOMAIN FEATURE EXTRACTION FOR SMALL EVENT-RELATED POTENTIALS THROUGH NONNEGATIVE MULTI-WAY ARRAY DECOMPOSITION FROM LOW DENSE ARRAY EEG

作者：Cong Fengyu^*; Phan Anh Huy; Astikainen Piia; Zhao Qibin; Wu Qiang; Hietanen Jari K; Ristaniemi Tapani; Cichocki Andrzej

来源：International Journal of Neural Systems, 2013, 23(2): 1350006.

DOI：10.1142/S0129065713500068

• EEG
• event-related potential
• visual mismatch negativity
• multi-domain feature
• non-negative canonical polyadic decomposition
• non-negative tucker decomposition
• non-negative tensor factorization

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.

• 出版日期2013-4
• 单位山东大学