Detection and Classification of ECG Chaotic Components Using ANN Trained by Specially Simulated Data.
Polina KurtserOfer LeviVladimir GontarPublished in: EANN (2012)
Keyphrases
- artificial neural networks
- multi layer perceptron
- classification accuracy
- automatic classification
- svm classifier
- classification algorithm
- adaboost classifier
- robust detection
- training set
- pattern recognition
- neural network
- microcalcification clusters
- false alarms
- pattern classification
- feature vectors
- detection method
- support vector machine
- beat classification
- classification scheme
- classification method
- text classification
- detection rate
- feature extraction
- training process
- detection algorithm
- neyman pearson
- feature extraction and classification
- supervised learning
- digital mammograms
- automatic detection
- support vector
- preprocessing
- unsupervised learning
- classification rules
- heart rate variability
- mammogram images
- mit bih arrhythmia database
- discriminative training
- using artificial neural networks
- classification models
- feed forward
- genetic algorithm ga
- model selection
- signal processing
- genetic algorithm