A deep learning approach for atrial fibrillation signals classification based on convolutional and modified Elman neural network.
Jibin WangPublished in: Future Gener. Comput. Syst. (2020)
Keyphrases
- deep learning
- unsupervised learning
- restricted boltzmann machine
- machine learning
- unsupervised feature learning
- elman neural network
- decision trees
- pattern recognition
- image classification
- text classification
- atrial fibrillation
- supervised learning
- ecg signals
- heart rate variability
- support vector machine
- training set
- multiscale
- mental models
- face recognition
- feature vectors
- feature extraction
- deep belief networks
- weakly supervised
- semi supervised