GB-SVNN: Genetic BAT assisted support vector neural network for arrhythmia classification using ECG signals.
Bhagyalakshmi VishwanathRamchandra Vittal PujeriGeetha Dundesh DevanagaviPublished in: J. King Saud Univ. Comput. Inf. Sci. (2021)
Keyphrases
- support vector
- ecg signals
- neural network
- classification accuracy
- mit bih arrhythmia database
- support vector machine
- pattern recognition
- svm classifier
- feature selection
- generalization ability
- genetic algorithm
- cross validation
- learning vector quantization
- machine learning
- beat classification
- logistic regression
- neural network model
- atrial fibrillation
- heart rate variability
- feature space
- kernel function
- support vector machine svm
- radial basis function
- linear discriminant analysis
- svm classification
- supervised learning
- feature vectors
- bp neural network
- multi class classification
- input features
- back propagation
- training set