ECG-signal multi-classification model based on squeeze-and-excitation residual neural networks

Physics & Astronomy

• electrocardiography 100%
• excitation 34%
• sinuses 30%
• bradycardia 13%
• tachycardia 11%
• South Korea 11%
• fibrillation 9%
• classifiers 9%
• flutter 9%
• Korea 9%
• rhythm 8%
• learning 7%
• contraction 6%
• causes 4%
• performance 3%

Engineering & Materials Science

• Electrocardiography 69%
• Neural networks 42%
• Lead 13%
• Deep learning 12%
• Classifiers 9%
• Experiments 5%

Chemical Compounds

• Classifier 48%
• Block Like Crystal 47%