A novel electrocardiogram feature extraction approach for cardiac arrhythmia classification.
Leandro Bezerra MarinhoNavar de Medeiros Mendonça e NascimentoJoão Wellington M. SouzaMateus Valentim GurgelPedro Pedrosa Rebouças FilhoVictor Hugo C. de AlbuquerquePublished in: Future Gener. Comput. Syst. (2019)
Keyphrases
- feature extraction
- heart rate variability
- ecg signals
- pattern classification
- feature vectors
- preprocessing
- pattern recognition
- image classification
- mit bih arrhythmia database
- support vector machine svm
- extracted features
- feature selection
- feature extraction and classification
- dimension reduction
- beat classification
- classification accuracy
- dimensionality reduction
- classification scheme
- heart rate
- spectral analysis
- image processing
- machine learning
- class labels
- face recognition
- kernel principal component analysis
- neural network
- atrial fibrillation
- fisher linear discriminant
- support vector
- heart disease
- extracting features
- classification method
- feature space
- training set
- principal component analysis
- feature set
- automatic classification
- frequency domain
- fully automatic
- model selection
- image feature extraction
- classification models
- pattern representation
- electrical activity
- linear discriminant analysis
- decision trees