Prediction of paroxysmal Atrial Fibrillation: A machine learning based approach using combined feature vector and mixture of expert classification on HRV signal.
Elias EbrahimzadehMaede KalantariMohammadamin JoulaniReza Shahrokhi ShahrakiFarahnaz FayazFereshteh AhmadiPublished in: Comput. Methods Programs Biomed. (2018)
Keyphrases
- heart rate variability
- atrial fibrillation
- feature vectors
- machine learning
- heart rate
- spectral analysis
- ecg signals
- support vector machine
- feature set
- svm classifier
- extracted features
- pattern recognition
- feature extraction
- feature space
- machine learning algorithms
- image features
- decision trees
- image processing
- text classification
- subband
- feature selection