Revisiting Riemannian geometry-based EEG decoding through approximate joint diagonalization
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DOI: 10.1088/1741-2552/aca4fc
Abstract: Objective. The wider adoption of Riemannian geometry in electroencephalography (EEG) processing is hindered by two factors: (a) it involves the manipulation of complex mathematical formulations and, (b) it leads to computationally demanding tasks. The main… read more here.
Keywords: approximate joint; joint diagonalization; revisiting riemannian; geometry ... See more keywords