AF classification from ECG recording using feature ensemble and sparse coding

Keyphrases

• Sparse Coding 100%
• ECG Recording 100%
• Feature Ensemble 100%
• Atrial Fibrillation Classification 100%
• Ensemble Coding 100%
• Atrial Fibrillation 80%
• ECG Signal 60%
• RR Interval 60%
• Dictionary 40%
• F1 Score 40%
• Soft Margin 40%
• Discriminating Features 20%
• Algorithm Accuracy 20%
• Feature Extracting 20%
• Support Vector Machine Classifier 20%
• Training Samples 20%
• Classification Task 20%
• Linear Support Vector Machine 20%
• PhysioNet 20%
• R-peak 20%
• Unknown Data 20%
• Coefficient Vector 20%
• Feature Extractor 20%
• Sparse Coefficients 20%
• Unsupervised Features 20%
• Single-lead ECG 20%
• Peak Detector 20%

Computer Science

• Support Vector Machine 100%
• Extracted Feature 50%
• Training Sample 50%
• Classification Task 50%

Neuroscience

• Atrial Fibrillation 100%
• Support Vector Machine 40%