Ventricular Arrhythmia Classification Based on High-Order Statistical Features of ECG Signals.
Sunghyun MoonJungjoon KimPublished in: CSA/CUTE (2017)
Keyphrases
- ecg signals
- high order
- atrial fibrillation
- heart rate variability
- mit bih arrhythmia database
- extracting features
- higher order
- beat classification
- feature vectors
- extracted features
- feature set
- classification accuracy
- feature extraction
- feature space
- low order
- support vector
- svm classifier
- pairwise
- class labels
- heart rate
- gender classification
- tensor analysis
- decision trees
- classification algorithm
- bayesian logistic regression
- input features
- individual features
- lower order
- tensor decomposition
- machine learning algorithms
- natural images
- markov random field
- computer vision
- cardiac arrhythmias