Interpretability Analysis of Heartbeat Classification Based on Heartbeat Activity's Global Sequence Features and BiLSTM-Attention Neural Network.
Runchuan LiXingjin ZhangHonghua DaiBing ZhouZongmin WangPublished in: IEEE Access (2019)
Keyphrases
- neural network
- feature vectors
- classification accuracy
- feature space
- feature set
- pattern recognition
- feature analysis
- classification method
- classification process
- features extraction
- feature extraction
- decision trees
- learning vector quantization
- machine learning
- ecg signals
- classification models
- image features
- svm classifier
- classification scheme
- high dimensionality
- benchmark datasets
- support vector machine
- artificial neural networks
- data analysis
- global features
- correspondence analysis
- false positives
- back propagation
- machine learning algorithms
- image classification
- genetic algorithm
- extracted features
- prediction accuracy
- model selection
- temporal sequences
- support vector
- textural features
- data sets