A deep learning approach for ECG-based heartbeat classification for arrhythmia detection.
Giovanna SanninoGiuseppe De PietroPublished in: Future Gener. Comput. Syst. (2018)
Keyphrases
- ecg signals
- deep learning
- mit bih arrhythmia database
- beat classification
- heart rate variability
- unsupervised learning
- machine learning
- heart rate
- restricted boltzmann machine
- pattern recognition
- support vector machine
- object detection
- text classification
- decision trees
- image classification
- feature extraction
- feature selection
- cardiac arrhythmias
- data points
- active learning
- computer vision