Neuro-fuzzy-based Arrhythmia Classification Using Heart Rate Variability Features.
Felipe RamírezHéctor Allende-CidAlejandro VelozHéctor AllendePublished in: SCCC (2010)
Keyphrases
- heart rate variability
- neuro fuzzy
- extracted features
- feature vectors
- heart rate
- classification accuracy
- feature set
- spectral analysis
- feature space
- svm classifier
- feature extraction
- feature reduction
- individual features
- classification method
- ecg signals
- hybrid learning
- fuzzy rules
- atrial fibrillation
- neuro fuzzy systems
- support vector machine
- input features
- image features
- class labels
- support vector
- random forest
- mit bih arrhythmia database
- feature selection algorithms
- feature subset
- positive and negative
- image classification
- pattern recognition
- feature selection
- incremental learning
- fuzzy neural network
- feature values
- classification algorithm
- training set
- multiscale
- decision trees
- image processing
- machine learning
- neural network