Deep learning-based multidimensional feature fusion for classification of ECG arrhythmia.
Jianfeng CuiLixin WangXiangmin HeVictor Hugo C. de AlbuquerqueSalman A. AlQahtaniMohammad Mehedi HassanPublished in: Neural Comput. Appl. (2023)
Keyphrases
- deep learning
- feature fusion
- unsupervised learning
- feature extraction
- machine learning
- heart rate variability
- ecg signals
- pattern recognition
- classification accuracy
- beat classification
- model selection
- decision trees
- multiple features
- mit bih arrhythmia database
- knowledge discovery
- feature space
- support vector
- data reduction
- weakly supervised
- incremental learning
- text classification
- single feature
- feature selection