Classification of Ventricular arrhythmia using a support vector machine based on morphological features.
Seung Hwan LeeHyun-Chul KoYoung-Ro YoonPublished in: EMBC (2013)
Keyphrases
- heart rate variability
- morphological features
- feature vectors
- automatic classification
- pattern recognition
- feature space
- classification models
- support vector
- supervised classification
- support vector machine
- pattern classification
- classification method
- text classification
- feature extraction
- machine learning
- classification scheme
- feature selection
- classification algorithm
- classification accuracy
- class labels
- classification rate
- support vector machine svm
- classification systems
- classification process
- training samples