An effective arrhythmia classification via ECG signal subsampling and mutual information based subbands statistical features selection.
Saeed Mian QaisarSyed Fawad HussainPublished in: J. Ambient Intell. Humaniz. Comput. (2023)
Keyphrases
- ecg signals
- feature vectors
- mit bih arrhythmia database
- extracting features
- classification accuracy
- beat classification
- classification method
- feature extraction
- feature set
- feature space
- heart rate variability
- support vector machine
- svm classifier
- atrial fibrillation
- classification models
- class labels
- heart rate
- physiological signals
- subband
- multiresolution
- classification algorithm
- feature selection algorithms
- extracted features
- wavelet domain
- benchmark datasets
- biomedical signals
- feature selection
- power line
- cardiac arrhythmias
- individual features
- eeg signals
- gabor filters
- support vector machine svm
- training set
- support vector
- face recognition