Automatic Cardiac Arrhythmia Classification Using Combination of Deep Residual Network and Bidirectional LSTM.
Runnan HeYang LiuKuanquan WangNa ZhaoYongfeng YuanQince LiHenggui ZhangPublished in: IEEE Access (2019)
Keyphrases
- heart rate variability
- classification accuracy
- pattern recognition
- decision trees
- classification scheme
- statistical classification
- support vector
- computer networks
- supervised learning
- ecg signals
- feature vectors
- feature extraction
- patient specific
- peer to peer
- classification models
- recurrent neural networks
- classification decisions
- automatic classification
- network model
- network structure
- fully automatic
- classification method
- classification algorithm
- support vector machine
- feature space
- training data
- text classification
- classification systems
- deep learning
- feedback loop
- bayesian networks
- wall motion
- electrical activity
- machine learning