Classification of Arrhythmia in Electrocardiogram using EMD Based Features and Support Vector Machine with Margin Sampling.
M. SuchethaNatesan KumaravelPublished in: Int. J. Comput. Intell. Appl. (2013)
Keyphrases
- support vector machine
- svm classifier
- feature vectors
- support vector
- classification method
- classification accuracy
- svm classification
- decision boundary
- feature space
- feature set
- support vector machine svm
- support vector machine classifiers
- heart rate variability
- training set
- classification models
- ecg signals
- classification process
- feature extraction
- soft margin
- class labels
- image classification
- extracted features
- classification algorithm
- machine learning
- feature selection
- support vectors
- decision trees
- training data
- multi class
- beat classification
- kernel function
- histogram intersection kernel
- mit bih arrhythmia database
- standard svm
- knn
- input features
- text classification
- benchmark datasets
- hyperplane
- feature subset
- distance measure
- image features
- kernel principal component analysis
- feature selection algorithms
- classification performances
- information preserving
- generalization ability
- kernel methods
- pattern classification