A novel unsupervised domain adaptation framework based on graph convolutional network and multi-level feature alignment for inter-subject ECG classification

Computer Science

• Deep Learning Method 100%
• Graph Convolutional Network 100%
• Unsupervised Domain Adaptation 100%
• Experimental Result 50%
• Feature Extraction 50%
• Classification Algorithm 50%
• Temporal Feature 50%
• Data Structure 50%
• Medical Diagnosis 50%
• Generalizability 50%

Biochemistry, Genetics and Molecular Biology

• Electrocardiogram 100%
• Cardiac Dysrhythmia 100%
• Feature Extraction 33%