Novel deep genetic ensemble of classifiers for arrhythmia detection using ECG signals.
Pawel PlawiakU. Rajendra AcharyaPublished in: Neural Comput. Appl. (2020)
Keyphrases
- ecg signals
- mit bih arrhythmia database
- beat classification
- power line
- multiple classifiers
- ensemble learning
- atrial fibrillation
- training data
- training set
- object detection
- ensemble pruning
- decision tree classifiers
- ensemble classifier
- feature selection
- classifier ensemble
- heart rate variability
- multiple classifier systems
- cardiac arrhythmias
- learning algorithm
- majority voting
- genetic algorithm
- decision trees
- support vector
- naive bayes
- heart rate
- final classification
- ensemble members
- electrical activity
- weak classifiers
- trained classifiers
- accurate classifiers
- anomaly detection
- randomized trees
- weak learners
- weighted voting
- random forest
- ensemble methods
- individual features