ECG-Based Heartbeat Classification for Arrhythmia Detection Using Artificial Neural Networks.
Eduardo CepedaNadia N. Sánchez-PozoDiego Hernán Peluffo-OrdóñezJuan González-VergaraDiego Almeida-GalárragaPublished in: ICCSA (2) (2022)
Keyphrases
- using artificial neural networks
- ecg signals
- mit bih arrhythmia database
- beat classification
- heart rate variability
- heart rate
- pattern recognition
- feature extraction and classification
- detection method
- feature extraction
- pattern classification
- artificial neural networks
- machine learning
- text classification
- training samples
- training set
- false alarms
- automatic classification
- false positives
- classification method
- neural network model
- preprocessing
- support vector
- extracted features
- feature selection
- atrial fibrillation
- digital mammograms
- microcalcification clusters
- classification scheme
- classification models
- automatic detection
- svm classifier
- image classification
- support vector machine
- classification accuracy
- feature space
- learning algorithm