Quality Assessment of ECG Signals Based on Support Vector Machines and Binary Decision Trees.
Berken Utku DemirelYesim SerinagaogluPublished in: SIU (2020)
Keyphrases
- quality assessment
- ecg signals
- decision trees
- support vector
- learning machines
- large margin classifiers
- image quality
- image and video processing
- video quality
- human visual system
- image quality assessment
- heart rate
- multi class
- data quality
- atrial fibrillation
- svm classifier
- support vector machine
- classification accuracy
- quality metrics
- post treatment
- mit bih arrhythmia database
- signal processing
- image data
- visual quality
- denoising
- feature selection
- databases