Multivariate Classification of Brugada Syndrome Patients Based on the Autonomic Response During Sleep, Exercise and Head-up Tilt Testing.
Mireia CalvoVirginie Le RolleDaniel RomeroNathalie BéharPedro GomisPhilippe MaboAlfredo I. HernándezPublished in: CinC (2019)
Keyphrases
- obstructive sleep apnea
- sleep stage
- sleep apnea
- eeg signals
- apnea hypopnea
- lung disease
- classification accuracy
- machine learning
- pattern recognition
- feature extraction
- automatic classification
- classification algorithm
- normal controls
- testing phase
- real time
- model selection
- image classification
- neural network
- training samples
- preprocessing
- feature space
- supervised learning
- text classification
- statistical tests
- classification models
- classification scheme
- training phase
- correct classification
- support vector machine
- feature vectors
- physiological parameters
- cluster analysis
- decision trees
- support vector machine svm