Scanned ECG Arrhythmia Classification Using a Pre-trained Convolutional Neural Network as a Feature Extractor.
Hanadi AldosariFrans CoenenGregory Y. H. LipYalin ZhengPublished in: SGAI Conf. (2022)
Keyphrases
- convolutional neural network
- feature extractor
- pre trained
- beat classification
- face detection
- heart rate variability
- ecg signals
- feature extraction
- mit bih arrhythmia database
- decision trees
- supervised learning
- image classification
- feature vectors
- support vector
- neural network
- support vector machine
- training set
- feature space
- machine learning
- training data