Spatiotemporal Representations of Rapid Visual Target Detection: A Single-Trial EEG Classification Algorithm

Galit Fuhrmann Alpert, Ran Manor, Assaf B. Spanier, Leon Y. Deouell, Amir B. Geva
2014 IEEE Transactions on Biomedical Engineering  
Brain Computer Interface applications, developed for both healthy and clinical populations, critically depend on decoding brain activity in single trials. The goal of the present study was to detect distinctive spatio-temporal brain patterns within a set of event related responses. We introduce a novel classification algorithm, the Spatially Weighted FLD-PCA (SWFP), which is based on a 2-step linear classification of event-related responses, using Fisher Linear Discriminant (FLD) classifier and
more » ... principal component analysis (PCA) for dimensionality reduction. As
doi:10.1109/tbme.2013.2289898 pmid:24216627 fatcat:6lidvdp2gfe77dcrptk5lbcpjm