Fast and accurate decoding of finger movements from ECoG through Riemannian features and modern machine learning techniques
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DOI: 10.1088/1741-2552/ac4ed1
Abstract: Objective. Accurate decoding of individual finger movements is crucial for advanced prosthetic control. In this work, we introduce the use of Riemannian-space features and temporal dynamics of electrocorticography (ECoG) signal combined with modern machine learning… read more here.
Keywords: finger movements; state; finger; machine learning ... See more keywords