Comparing Feature Based Classifiers and Convolutional Neural Networks to Detect Arrhythmia from Short Segments of ECG.
Fernando AndreottiOliver CarrMarco A. F. PimentelAdam MahdiMaarten De VosPublished in: CinC (2017)
Keyphrases
- convolutional neural networks
- ecg signals
- heart rate variability
- beat classification
- convolutional network
- automatic detection
- monitoring system
- machine learning algorithms
- detection method
- supervised classification
- support vector
- decision trees
- test set
- signal processing
- feature selection
- classifier combination
- multiple classifiers
- classification systems
- linear classifiers
- confusion matrices
- cardiac arrhythmias
- line segments
- svm classifier
- detection algorithm
- training set
- training data
- classification algorithm
- ensemble classifier
- naive bayes
- training samples
- image features
- classification accuracy
- dynamic programming
- feature vectors