Automatic recognition of arrhythmia using a CNN-based broad learning system

Keyphrases

• Broad Learning System 100%
• CNN-based 100%
• Incremental Learning 100%
• Automatic Recognition 100%
• Arrhythmia 100%
• Training Time 75%
• Classification System 50%
• Noise Robustness 50%
• MIT-BIH Arrhythmia Database 50%
• Electrocardiogram Classification 50%
• Abnormal ECG 50%
• Systems-based 25%
• Recognition Method 25%
• Classification Algorithms 25%
• Arrhythmia Classification 25%
• Learned Features 25%
• Denoising 25%
• Cardiovascular Disease 25%
• Deep Neural Network 25%
• Heartbeat Classification 25%
• Learning Experiment 25%
• Database Quality 25%
• Robustness to Noise 25%
• Proposal Classification 25%
• Overall Accuracy 25%
• ECG Data 25%
• Robustness Learning 25%

Chemical Engineering

• Learning System 100%
• Deep Neural Network 50%