A new approach for arrhythmia classification using deep coded features and LSTM networks.
Özal YildirimUlas Baran BalogluRu San TanEdward J. CiaccioU. Rajendra AcharyaPublished in: Comput. Methods Programs Biomed. (2019)
Keyphrases
- feature vectors
- classification accuracy
- feature extraction
- feature set
- feature space
- classification process
- classification method
- classification models
- support vector machine
- extracted features
- feature selection
- pattern recognition
- benchmark datasets
- input features
- feature analysis
- gender classification
- feature selection algorithms
- svm classifier
- social networks
- image classification
- svm classification
- support vector machine svm
- discriminative features
- feature values
- feature subset
- false positives
- irrelevant features
- decision trees
- eeg signals
- image features
- supervised learning
- classification algorithm
- class labels
- multiple features
- recurrent neural networks
- low level
- high dimensionality
- complex networks
- support vector
- machine learning algorithms
- feature construction
- machine learning
- extracting features
- single feature
- feature extraction and classification
- category labels