Distance Covariance: A Nonlinear Extension of Riemannian Geometry for EEG-based Brain-Computer Interfacing.
Jiachen XuAlex MarkhamAnja MeunierPhilipp RaggamMoritz Grosse-WentrupPublished in: SMC (2021)
Keyphrases
- geodesic distance
- eeg signals
- brain computer interface
- eeg data
- event related
- brain signals
- functional connectivity
- brain activity
- euclidean metric
- event related potentials
- electrical activity
- information geometry
- distance measure
- covariance matrix
- distance transform
- euclidean space
- distance metric
- riemannian manifolds
- shortest path
- covariance matrices
- distance function
- computer systems
- euclidean distance
- data acquisition
- shape analysis
- motor imagery
- riemannian metric
- tensor based morphometry
- brain images
- signal processing
- shape space
- relative position
- similarity metric
- affine invariant
- human brain
- vector space
- similarity measure
- fluid registration
- three dimensional