Epilepsy detection in EEG using Grassmann discriminant analysis method

DOI10.1155/2020/2598140OpenAlexW3021981680WikidataQ94922929 ScholiaQ94922929MaRDI QIDQ2185373

Yanyan Li

Publication date: 4 June 2020

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2020/2598140

Mathematics Subject Classification ID

Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Numerical mathematical programming methods (65K05) Biomedical imaging and signal processing (92C55) Medical applications (general) (92C50)

Cites Work

• Unnamed Item
• Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transform
• Riemannian geometry of Grassmann manifolds with a view on algorithmic computation
• A Riemannian framework for tensor computing
• The Trace Ratio Optimization Problem for Dimensionality Reduction
• Riemannian center of mass and mollifier smoothing
• The Geometry of Algorithms with Orthogonality Constraints
• Bayesian and geometric subspace tracking
• EPILEPTIC SPIKE DETECTION USING CONTINUOUS WAVELET TRANSFORMS AND ARTIFICIAL NEURAL NETWORKS
• DIFFERENTIAL GEOMETRY OF GRASSMANN MANIFOLDS

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