Wearable ECG signal processing for automated cardiac arrhythmia classification using CFASE-based feature selection.
Yuwei ZhangYuan ZhangBenny LoWenyao XuPublished in: Expert Syst. J. Knowl. Eng. (2020)
Keyphrases
- ecg signals
- feature selection
- mit bih arrhythmia database
- cellular phone
- classification accuracy
- beat classification
- heart rate variability
- cardiac arrhythmias
- text classification
- support vector
- classification models
- feature extraction
- electrical activity
- feature set
- automated classification
- extracting features
- atrial fibrillation
- heart rate
- support vector machine
- machine learning
- feature selection algorithms
- feature space
- high dimensionality
- power line
- method for feature selection
- multi class
- decision trees
- feature subset
- classification method
- biomedical signals
- discriminative features
- activity recognition
- class labels
- model selection
- rough sets