Cardiac Arrhythmia Recognition with Robust Discrete Wavelet-Based and Geometrical Feature Extraction via Classifiers of SVM and MLP-BP and PNN Neural Networks.
Farhad AsadiMohammad Javad MollakazemiSeyyed Abbas AtyabiIlija UzelacAli GhaffariPublished in: CinC (2015)
Keyphrases
- kernel function
- neural network
- feature extraction
- support vector
- back propagation
- feature set
- svm classifier
- multi layer perceptron
- feature space
- support vector machine
- neural classifier
- multilayer perceptron
- pattern recognition
- wavelet transform
- feature selection
- svm classification
- extracted features
- bp algorithm
- support vector machine svm
- artificial neural networks
- probabilistic neural network
- feature extractors
- feature vectors
- feature extractor
- recognition rate
- global exponential stability
- neural network model
- pattern classification
- training algorithm
- heart rate variability
- image classification
- radial basis function
- fuzzy logic
- heart disease
- multi class
- knn
- bp neural network
- highest accuracy
- classification algorithm
- linear classifiers
- activation function
- feedforward neural networks
- ecg signals
- training data
- decision trees
- kernel support vector machines
- support vector machine classifiers
- radial basis function network
- principal component analysis
- genetic algorithm
- speaker identification
- hidden layer
- generalization ability
- highly discriminative
- texture features
- classification method
- nearest neighbor
- face recognition