Distinguishing atrial fibrillation from sinus rhythm using commercial pulse detection systems: The non-interventional BAYathlon study.
Christian MüllerUlf HengstmannMichael FuchsMartin KirchnerFrank KleinjungHarald MathisStephan MartinIngo BläseStefan PeringsPublished in: Digital health (2021)
AFib screening using the applied algorithm is feasible with the Polar V800 and eMotion Faros 360 (which provide RR interval data) but not with the other CPDSs (which provide pre-processed heart rate time series).ClinicalTrials.gov identifier: NCT02875106.
Keyphrases
- heart rate
- blood pressure
- atrial fibrillation
- heart rate variability
- machine learning
- heart failure
- autism spectrum disorder
- deep learning
- depressive symptoms
- oral anticoagulants
- electronic health record
- loop mediated isothermal amplification
- left atrial appendage
- quantum dots
- acute coronary syndrome
- big data
- neural network
- coronary artery disease