Automated Arrhythmia Detection using Hilbert-Huang Transform based Convolutional Neural Network

Keyphrases

• Arrhythmia 50%
• Atrial Fibrillation 50%
• Automated Arrhythmia Detection 100%
• Classification Mechanism 50%
• Classification Methods 50%
• Classification Task 50%
• Convolutional Neural Network 100%
• ECG Classification 50%
• Feature Selection 50%
• Handcrafted Features 50%
• Hilbert-Huang Transform 100%
• Human Involvement 50%
• Multi-classification 50%
• Noise Free 50%
• Non-stationary Signal Processing 50%
• Nonlinear Signal Processing 50%
• Normal Sinus Rhythm 50%
• Raw Signal 50%
• Reconstructed Signal 50%
• Signal Classification 50%
• Signal Processing Techniques 50%
• Temporal Variation 50%
• Three-class 50%

Computer Science

• Classification Method 33%
• Classification Task 33%
• Convolutional Neural Network 100%
• Experimental Result 33%
• Feature Extraction 33%
• Feature Selection 33%
• Human Involvement 33%
• Nonstationary Signal 33%
• Reconstructed Signal 33%
• Signal Processing 33%
• Temporal Variation 33%
• Traditional Method 33%

Neuroscience

• Atrial Fibrillation 50%
• Cardiac Dysrhythmia 100%
• Neural Network 100%
• Signal Processing 50%