Arrhythmia ventricular fibrillation classification on ECG signal using ensemble feature selection and deep neural network.
M. R. RajeshwariK. S. KavithaPublished in: Clust. Comput. (2022)
Keyphrases
- mit bih arrhythmia database
- ecg signals
- heart rate variability
- atrial fibrillation
- neural network
- beat classification
- ensemble feature selection
- heart rate
- pattern recognition
- spectral analysis
- decision trees
- classification algorithm
- feature extraction
- power line
- data sets
- genetic algorithm
- feature selection
- higher order statistics
- genetic search
- extracted features
- class labels
- supervised learning
- classification accuracy
- feature vectors
- back propagation
- training samples
- text classification
- support vector machine
- artificial neural networks
- biomedical signals
- training set
- support vector