Classification and Self-Supervised Regression of Arrhythmic ECG Signals Using Convolutional Neural Networks.
Bartosz GrabowskiPrzemyslaw GlombWojciech MasarczykPawel PlawiakÖzal YildirimU. Rajendra AcharyaRu San TanPublished in: CoRR (2022)
Keyphrases
- ecg signals
- convolutional neural networks
- mit bih arrhythmia database
- beat classification
- classification accuracy
- machine learning
- support vector
- pattern recognition
- decision trees
- regression method
- model selection
- regression problems
- machine learning algorithms
- regression model
- classification method
- linear regression
- image classification
- multi variate
- feature vectors
- text classification
- classification algorithm
- support vector machine
- classification and regression problems
- training set
- feature extraction