Characterization of Spatio-Temporal Cardiac Action Potential Variability at Baseline and Under $\beta$-Adrenergic Stimulation by Combined Unscented Kalman Filter and Double Greedy Dimension Reduction.
David Adolfo Sampedro-PuenteFabien RaphelJesus Fernandez-BesPablo LagunaDamiano LombardiEsther PueyoPublished in: IEEE J. Biomed. Health Informatics (2021)
Keyphrases
- dimension reduction
- spatio temporal
- unscented kalman filter
- feature selection
- principal component analysis
- high dimensional
- human actions
- low dimensional
- feature extraction
- singular value decomposition
- high dimensionality
- kalman filter
- feature space
- dynamic model
- high dimensional data
- position and orientation
- cluster analysis
- moving objects
- extended kalman filter
- linear discriminant analysis
- unsupervised learning
- preprocessing
- inertial sensors
- data sets