A novel technique for cardiac arrhythmia classification using spectral correlation and support vector machines.
Aya F. KhalafMohamed I. OwisInas A. YassinePublished in: Expert Syst. Appl. (2015)
Keyphrases
- support vector
- classification accuracy
- support vector machine
- large margin classifiers
- generalization ability
- feature selection
- learning machines
- cross validation
- feature extraction
- svm classification
- heart rate variability
- pattern recognition
- svm classifier
- machine learning
- kernel methods
- patient specific
- decision trees
- spectral analysis
- multi class classification
- correlation coefficient
- class labels
- feature space
- spectral features
- hyperspectral images
- mit bih arrhythmia database
- hyperplane
- binary classification
- feature vectors
- classification algorithm
- logistic regression
- kernel function
- supervised learning
- training set