Phase space reconstruction, geometric filtering based Fisher discriminant analysis and minimum distance to the Riemannian means algorithm for epileptic seizure classification

Keyphrases

• Minimum Distance 100%
• Tangent Space 100%
• Fisher Discriminant Analysis 100%
• Phase Space Reconstruction 100%
• Mean Algorithm 100%
• Riemannian Manifold 100%
• Geometric Filtering 100%
• Riemannian Mean 100%
• Epileptic Seizure Classification 100%
• Vector Space 80%
• Electroencephalogram 80%
• Covariance Matrix 60%
• Mapping Operator 60%
• Feature Vector 40%
• Visual Inspection 40%
• Geometric Mean 40%
• Symmetric Positive Definite Matrix 40%
• Logarithmic Map 40%
• State-of-the-art Techniques 20%
• Computational Complexity 20%
• Classification System 20%
• Euclidean Space 20%
• Transformation Matrix 20%
• Reconstruction Method 20%
• Feature Descriptor 20%
• Low-dimensional Vectors 20%
• High-dimensional Vectors 20%
• Chaotic State 20%
• Computer numerical Simulation 20%
• Seizure Classification 20%
• Epileptic Seizure 20%
• Exponential Map 20%
• Epilepsy Classification 20%
• Medical Officer 20%
• Matrix-based 20%

Mathematics

• Tangent Space 100%
• Riemannian Manifolds 100%
• Discriminant Analysis 100%
• Phase Space 100%
• Vector Space 80%
• Covariance Matrix 60%
• Matrix 40%
• Positive Definite Matrix 40%
• Geometric Mean 40%
• Feature Vector 40%
• Dimensional Vector 40%
• Euclidean Space 20%
• Transformation Matrix 20%
• Exponential Mapping 20%