Identification of Patients with Potential Atrial Fibrillation during Sinus Rhythm Using Isolated P Wave Characteristics from 12-Lead ECGs

Computer Science

• Deep Neural Network 100%
• Component Analysis 50%
• Principal Components 50%
• Extracted Feature 50%
• Reproducibility 50%
• Electrical Activity 50%
• Signal Processing 50%
• Machine Learning 50%
• Neural Network Model 50%
• Large Data Set 50%
• Temporal Feature 50%

Neuroscience

• Atrial Fibrillation 100%
• P-Wave 100%
• Neural Network 28%
• Signal Processing 14%

Earth and Planetary Sciences

• P Wave 100%
• Principal Component Analysis 25%
• Signal Processing 25%
• Machine Learning 25%
• Bandpass Filter 25%