SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification.
Tomer GolanyKira RadinskyDaniel FreedmanPublished in: ICML (2020)
Keyphrases
- classification accuracy
- text classification
- heart rate variability
- pattern recognition
- beat classification
- ecg signals
- pattern classification
- classification scheme
- machine learning
- signal processing
- feature space
- classification process
- classification models
- mit bih arrhythmia database
- monitoring system
- automatic classification
- social networks
- class labels
- decision trees
- feature extraction
- multi agent
- preprocessing
- supervised learning
- support vector machine
- acute myocardial infarction
- feature selection
- discriminative classifiers
- image classification
- cost sensitive
- unsupervised learning
- classification rules
- training samples
- decision rules
- svm classifier