Short-term prediction of atrial fibrillation from ambulatory monitoring ECG using a deep neural network.
Jagmeet P SinghJulien FontanaravaGrégoire de MasséTanner CarbonatiJia LiChristine HenryLaurent FiorinaPublished in: European heart journal. Digital health (2022)
We show here the very first study of short-term AF prediction using 24 h Holter monitoring. This could help identify patients who would benefit the most from longer recordings and proactively initiate treatment and AF mitigation strategies in high-risk patients.
Keyphrases
- atrial fibrillation
- neural network
- end stage renal disease
- newly diagnosed
- ejection fraction
- chronic kidney disease
- blood pressure
- left atrial
- climate change
- prognostic factors
- oral anticoagulants
- catheter ablation
- left atrial appendage
- heart rate variability
- heart rate
- patient reported outcomes
- percutaneous coronary intervention
- coronary artery disease
- mitral valve
- acute coronary syndrome
- patient reported