Deep learning-based electrocardiogram rhythm and beat features for heart abnormality classification.
Annisa DarmawahyuniSiti NurmainiMuhammad Naufal RachmatullahBambang TutukoAde Iriani Sapitri FirdausAhmad FansyuriAldi PredyansyahPublished in: PeerJ Comput. Sci. (2022)
Keyphrases
- deep learning
- beat classification
- unsupervised feature learning
- classification accuracy
- feature vectors
- feature extraction
- feature set
- restricted boltzmann machine
- ecg signals
- feature space
- unsupervised learning
- pattern recognition
- machine learning
- image classification
- text classification
- image features
- decision trees
- data sets
- supervised learning
- multiscale
- feature selection
- co occurrence
- higher order
- model selection
- feature subset
- training set