A novel channel selection scheme for olfactory EEG signal classification on Riemannian manifolds
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DOI: 10.1088/1741-2552/ac7b4a
Abstract: Objective. The classification of olfactory-induced electroencephalogram (olfactory EEG) signals has potential applications in disease diagnosis, emotion regulation, multimedia, and so on. To achieve high-precision classification, numerous EEG channels are usually used, but this also brings… read more here.
Keywords: classification; eeg signal; olfactory eeg; channel selection ... See more keywords