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Investigating deep learning for fNIRS based BCI
2015
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Functional Near infrared Spectroscopy (fNIRS) is a relatively young modality for measuring brain activity which has recently shown promising results for building Brain Computer Interfaces (BCI). Due to its infancy, there are still no standard approaches for meaningful features and classifiers for single trial analysis of fNIRS. Most studies are limited to established classifiers from EEG-based BCIs and very simple features. The feasibility of more complex and powerful classification approaches
doi:10.1109/embc.2015.7318984
pmid:26736884
dblp:conf/embc/HennrichHHS15
fatcat:iguk7owtffg7bffhs626uedojy