A Novel Approach for Heart Ventricular and Atrial Abnormalities Detection via an Ensemble Classification Algorithm Based on ECG Morphological Features.
Hui YangZhiqiang WeiPublished in: IEEE Access (2021)
Keyphrases
- classification algorithm
- atrial fibrillation
- ecg signals
- morphological features
- mit bih arrhythmia database
- heart rate variability
- beat classification
- classifier ensemble
- training set
- knn
- learning algorithm
- k nearest neighbor
- document classification
- training phase
- classification rules
- heart rate
- naive bayes
- support vector machine
- base learners
- input features
- accurate classification
- class labels
- left ventricle
- classification method
- neural network
- cardiac arrhythmias
- ensemble learning
- ensemble methods
- multi class
- feature vectors
- training data
- spectral analysis
- reinforcement learning
- clustering algorithm
- database