Identification of Atrial Fibrillation With Single-Lead Mobile ECG During Normal Sinus Rhythm Using Deep Learning.
Jiwoong KimSun Jung LeeBonggyun KoMyungeun LeeYoung-Shin LeeKi Hong LeePublished in: Journal of Korean medical science (2024)
The deep learning model using single-lead mobile ECG during NSR effectively identified AF at risk in future. However, further research is needed to enhance the performance of deep learning models for clinical application.
Keyphrases
- deep learning
- atrial fibrillation
- heart rate
- artificial intelligence
- convolutional neural network
- heart rate variability
- machine learning
- oral anticoagulants
- left atrial
- left atrial appendage
- heart failure
- direct oral anticoagulants
- blood pressure
- percutaneous coronary intervention
- coronary artery disease
- left ventricular
- bioinformatics analysis