Structure constrained semi-nonnegative matrix factorization for EEG-based motor imagery classification
Structure constrained semi-NMF method for motor imagery classification. The mean envelopes of ERP are extracted as structural constraints. Enables the analysis of temporal patterns of general EEG time series by semi-NMF. The temporal patterns extracted by SCS-NMF can be combined with other features.
semi-nonnegative matrix factorization eeg motor imagery classification structure constraint brain computer interface event-related potential