Predicting termination of paroxysmal atrial fibrillation using empirical mode decomposition of the atrial activity and statistical features of the heart rate variability.
Maryam MohebbiHassan GhassemianPublished in: Medical Biol. Eng. Comput. (2014)
Keyphrases
- atrial fibrillation
- heart rate variability
- ecg signals
- extracted features
- empirical mode decomposition
- heart rate
- spectral analysis
- individual features
- feature set
- non stationary
- left atrium
- feature vectors
- input features
- selected features
- computer vision
- eeg signals
- positive and negative
- pattern recognition
- image segmentation