Cardiac arrhythmia classification using statistical and mixture modeling features of ECG signals.
Rashid Ghorbani AfkhamiGhanbar AzarniaMohammad Ali TinatiPublished in: Pattern Recognit. Lett. (2016)
Keyphrases
- ecg signals
- mit bih arrhythmia database
- mixture modeling
- beat classification
- heart rate variability
- cardiac arrhythmias
- classification accuracy
- atrial fibrillation
- heart rate
- feature extraction
- feature vectors
- feature set
- density estimation
- feature space
- class labels
- support vector
- electrical activity
- statistical analysis
- support vector machine
- text classification
- decision trees
- svm classifier
- machine learning
- mixture model
- feature reduction
- eeg signals
- gaussian mixture model
- feature selection