Meta Structural Learning Algorithm With Interpretable Convolutional Neural Networks for Arrhythmia Detection of Multisession ECG.
Maytham N. MeqdadFardin Abdali MohammadiSeifedine KadryPublished in: IEEE Access (2022)
Keyphrases
- convolutional neural networks
- learning algorithm
- beat classification
- mit bih arrhythmia database
- ecg signals
- structural information
- heart rate variability
- detection accuracy
- automatic detection
- detection algorithm
- detection method
- convolutional network
- feature selection
- meta level
- training examples
- training data
- active learning
- signal processing
- anomaly detection
- false alarms
- detection rate
- machine learning
- event detection
- false positives
- rbf network
- learning models
- structural analysis
- training samples
- object detection