SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification.
Tomer GolanyDaniel FreedmanKira RadinskyPublished in: CoRR (2020)
Keyphrases
- heart rate variability
- feature extraction
- pattern classification
- pattern recognition
- ecg signals
- classification method
- classification accuracy
- monitoring system
- text classification
- discriminative learning
- support vector machine svm
- classification scheme
- feature vectors
- feature space
- multi agent
- decision trees
- beat classification
- machine learning
- heterogeneous networks
- classification process
- class labels
- hybrid generative discriminative
- unsupervised learning
- training set
- image classification
- signal processing
- classification systems
- data sets
- mit bih arrhythmia database
- learning algorithm
- social networks
- active learning
- support vector machine
- supervised learning
- machine learning algorithms
- network structure
- generative model
- decision rules
- semi supervised learning
- benchmark datasets