Automated beat-wise arrhythmia diagnosis using modified U-net on extended electrocardiographic recordings with heterogeneous arrhythmia types.
Shu Lih OhEddie-Yin-Kwee NgRu San TanU. Rajendra AcharyaPublished in: Comput. Biol. Medicine (2019)
Keyphrases
- ecg signals
- beat classification
- atrial fibrillation
- heart rate variability
- heart disease
- mit bih arrhythmia database
- heart rate
- higher order statistics
- medical diagnosis
- cardiac arrhythmias
- spectral analysis
- multiple types
- semi automated
- fully automated
- model based diagnosis
- root cause
- fault diagnosis
- hidden markov models
- bayesian networks
- real world
- semi automatic
- electrical activity
- databases