Multi-classification of arrhythmias using a HCRNet on imbalanced ECG datasets.
Xinyu LuoLiuyang YangHongyu CaiRui TangYu ChenWei LiPublished in: Comput. Methods Programs Biomed. (2021)
Keyphrases
- imbalanced datasets
- uci machine learning repository
- pattern recognition
- uci repository
- training dataset
- binary classification problems
- benchmark datasets
- class imbalance
- classification scheme
- classification accuracy
- imbalanced data
- image classification
- training set
- class labels
- ecg signals
- machine learning
- pattern classification
- machine learning methods
- feature selection
- decision trees
- classification rules
- support vector
- imbalanced class distribution
- accurate classifiers
- data sets
- support vector machine svm
- classification method
- automatic classification
- class distribution
- classification models
- support vector machine
- signal processing
- feature extraction
- restricted boltzmann machine
- class imbalanced