Towards End-to-End ECG Classification with Raw Signal Extraction and Deep Neural Networks

Keyphrases

• Electrocardiogram Signal 100%
• Raw Signal 100%
• Signal Extraction 100%
• Deep Neural Network 100%
• Electrocardiogram Classification 100%
• Heartbeat Classification 66%
• Feature Extraction 33%
• State-of-the-art Techniques 33%
• Operating Point 33%
• Classification Methods 33%
• Patient Autonomy 33%
• Feature Classification 33%
• T Wave 33%
• P-wave 33%
• Patient-specific 33%
• Deep Learning Methods 33%
• Medical Doctors 33%
• Arrhythmia 33%
• Handcrafted Features 33%
• MIT-BIH Arrhythmia Database 33%
• QRS Complex 33%
• Signal Alignment 33%
• Sliding Time Window 33%
• Ventricular Ectopic Beats 33%
• Classification Basis 33%
• Supraventricular Ectopic Beats 33%
• Patient-independent 33%

Computer Science

• Deep Neural Network 100%
• Deep Learning 50%
• Medical Doctor 50%
• Feature Extraction 50%
• Classification Method 50%
• Operating Point 50%