Development and Validation of an Automated Algorithm to Detect Atrial Fibrillation Within Stored Intensive Care Unit Continuous Electrocardiographic Data: Observational Study.
Allan Jay WalkeySyed Khairul BasharMd Billal HossainEric Y DingDaniella AlbuquerqueMichael R WinterKi H ChonDavid D McManusPublished in: JMIR cardio (2021)
An automated algorithm using telemetry ECG data can feasibly and accurately detect AF among critically ill patients with sepsis, and represents an improvement in AF detection within large databases.
Keyphrases
- atrial fibrillation
- intensive care unit
- big data
- left atrial
- machine learning
- electronic health record
- deep learning
- catheter ablation
- oral anticoagulants
- left atrial appendage
- direct oral anticoagulants
- heart failure
- acute kidney injury
- left ventricular
- artificial intelligence
- heart rate
- percutaneous coronary intervention
- neural network
- blood pressure
- room temperature
- acute coronary syndrome
- loop mediated isothermal amplification
- quantum dots
- mitral valve
- acute respiratory distress syndrome
- extracorporeal membrane oxygenation