Fetal Arrhythmia Detection based on Deep Learning using Fetal ECG Signals.
Sara NakataniKohei YamamotoTomoaki OhtsukiPublished in: GLOBECOM (2022)
Keyphrases
- ecg signals
- heart rate
- deep learning
- mit bih arrhythmia database
- beat classification
- power line
- heart rate variability
- atrial fibrillation
- unsupervised learning
- machine learning
- electrical activity
- unsupervised feature learning
- weakly supervised
- cardiac arrhythmias
- mental models
- object detection
- deep architectures
- learning algorithm
- active learning
- computer vision
- data mining