Deep Learning for Morphological Arrhythmia Classification in Encoded ECG Signal.
Sandeep S. MittalJack RothbergKanad GhosePublished in: ICMLA (2021)
Keyphrases
- ecg signals
- deep learning
- mit bih arrhythmia database
- beat classification
- unsupervised learning
- machine learning
- pattern recognition
- feature vectors
- restricted boltzmann machine
- text classification
- heart rate variability
- support vector machine
- image classification
- training data
- training set
- decision trees
- unsupervised feature learning
- deep architectures
- higher order
- co occurrence
- feature space
- feature extraction
- computer vision
- learning algorithm