Classification of ECG Arrhythmia using Artificial Intelligence techniques (RBF and SVM).
Rachida BouchouarebKarim FerroudjiPublished in: PAIS (2022)
Keyphrases
- support vector machine svm
- support vector
- support vector machine
- svm classifier
- heart rate variability
- generalization ability
- radial basis function
- classification algorithm
- svm classification
- pattern recognition
- classification method
- knn
- feature selection
- feature vectors
- beat classification
- ecg signals
- training set
- improves the classification accuracy
- machine learning
- rbf kernel
- radial basis function neural network
- k nearest neighbor
- classification accuracy
- feature extraction
- pattern classification
- artificial neural networks
- mlp neural networks
- mit bih arrhythmia database
- neural network
- partially supervised
- multi class classification
- feature space
- high classification accuracy
- text classification
- support vector machine classifiers
- unbalanced data
- spectral analysis
- rbf network