ECG arrhythmia classification based on optimum-path forest.
Eduardo José da S. LuzThiago M. NunesVictor Hugo C. de AlbuquerqueJoão P. PapaDavid MenottiPublished in: Expert Syst. Appl. (2013)
Keyphrases
- optimum path forest
- supervised pattern recognition
- decision boundary
- beat classification
- nearest neighbor classifier
- machine learning
- pattern recognition
- ecg signals
- pattern classification
- decision trees
- heart rate variability
- classification accuracy
- training set
- support vector
- feature extraction
- support vector machine svm
- text classification
- image classification
- semi supervised
- feature space