Prediction of Ventricular Tachycardia Using Nonlinear Features of Heart Rate Variability and Artificial Neural Network Classifier.
Nastaran EhtiatiGholamreza AttarodiNader Jafarnia DabanlooJavid Farhadi SedehiAli Motie NasrabadiPublished in: CinC (2017)
Keyphrases
- heart rate variability
- extracted features
- feature reduction
- input features
- feature extraction
- heart rate
- feature set
- spectral analysis
- artificial neural networks
- feature space
- svm classifier
- individual features
- atrial fibrillation
- prediction accuracy
- classification accuracy
- classification method
- image features
- classification models
- machine learning
- positive and negative
- rough sets
- support vector machine
- feature vectors
- training data
- classification algorithm
- machine learning algorithms
- training examples
- multiscale
- decision trees
- neural network