ECG Arrhythmia Classification for Comparing Pre-Trained Deep Learning Models.
Oliverio Arellano-CárdenasLuis Martín Flores-NavaFelipe Gomez-CastañedaJose Antonio Moreno-CadenasPublished in: CCE (2022)
Keyphrases
- learning models
- classification models
- machine learning
- heart rate variability
- machine learning algorithms
- pre trained
- beat classification
- pattern recognition
- ecg signals
- mit bih arrhythmia database
- image classification
- supervised learning
- learning algorithm
- decision trees
- feature set
- feature selection
- learning problems
- learning tasks
- loss function
- semi supervised learning
- class labels
- training examples
- support vector machine svm
- classification accuracy
- data sets
- learning process
- feature vectors
- feature extraction
- image segmentation
- input image