Classification of ECG Recordings with Neural Networks Based on Specific Morphological Features and Regularity of the Signal.
Katarzyna StepienIga GrzegorczykPublished in: CinC (2017)
Keyphrases
- heart rate variability
- neural network
- pattern recognition
- mit bih arrhythmia database
- signal processing
- ecg signals
- morphological features
- heart rate
- classification accuracy
- feature vectors
- classification algorithm
- training process
- support vector machine svm
- high frequency
- spectral analysis
- support vector
- feature space
- classification scheme
- automatic classification
- rule extraction
- machine learning
- learning vector quantization
- training set
- pattern classification
- frequency domain
- audio visual
- image classification
- neural network model
- supervised learning
- single channel
- fuzzy decision trees
- feature extraction
- decision trees