Automatic atrial fibrillation detection from short ECG signals: A hybrid deep learning approach

Medicine & Life Sciences

• Deep Learning 100%
• Atrial Fibrillation 64%
• Long-Term Memory 62%
• Electrocardiography 59%
• Short-Term Memory 51%
• Data Mining 44%
• Machine Learning 20%
• ROC Curve 15%
• Area Under Curve 14%
• Datasets 14%
• Sensitivity and Specificity 13%
• Heart Rate 13%
• Research Personnel 12%

Engineering & Materials Science

• Deep learning 64%
• Long short-term memory 63%
• Convolution 53%
• Neural networks 43%
• Feature extraction 41%
• Data mining 29%
• Learning algorithms 15%
• Tuning 14%
• Machine learning 13%
• Experiments 6%

Social Sciences

• neural network 69%
• learning 24%
• diagnostic 12%
• time 10%
• knowledge 9%
• experiment 8%
• performance 6%