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Distinguishing atrial fibrillation from sinus rhythm using commercial pulse detection systems: The non-interventional BAYathlon study
- Source :
- Digital Health, Vol 7 (2021), Digital Health
- Publication Year :
- 2021
- Publisher :
- SAGE Publishing, 2021.
-
Abstract
- Objective Early diagnosis of atrial fibrillation (AFib) is a priority for stroke prevention. We sought to test four commercial pulse detection systems (CPDSs) for ability to distinguish AFib from normal sinus rhythm using a published algorithm (Zhou et al., PLoS One 2015;10:e0136544), compared with visual diagnosis by electrocardiogram inspection. Methods BAYathlon was a prospective, non-interventional, single-centre study. Adult cardiology patients with documented AFib or sinus rhythm who were due to have a routine 5-min electrocardiogram were randomized to undergo a parallel 5-min pulse assessment with a Polar V800, eMotion Faros 360, TomTom heart rate monitor, or Adidas miCoach Smart Run. Results 144 patients (73 with AFib, 71 with sinus rhythm (based on electrocardiograms); median age: 73 years; 53.5% male) were analysed. Algorithm sensitivities (primary endpoint) and specificities for AFib when applied to CPDS recordings were 93.3% and 94.1% with the Polar V800, 90.0% and 84.2% with the eMotion Faros 360, and 0% and 100% with the other CPDSs (analysis period: 127 heart rate signals + 2 min). When applied to routine electrocardiograms, the algorithm correctly detected AFib in 71/73 patients. Different analysis periods (127 heart rate signals +1 or 3 min) only slightly changed the sensitivities with the Polar V800 and eMotion Faros 360 and had no effect on the sensitivities with the other CPDSs. Conclusion 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
- Subjects :
- medicine.medical_specialty
electrocardiography
Computer applications to medicine. Medical informatics
R858-859.7
Health Informatics
030204 cardiovascular system & hematology
algorithms
03 medical and health sciences
0302 clinical medicine
Health Information Management
Internal medicine
medicine
Sinus rhythm
030212 general & internal medicine
sinus rhythm
medicine.diagnostic_test
business.industry
Pulse (signal processing)
Health Policy
Atrial fibrillation
medicine.disease
sensitivity
Computer Science Applications
Stroke prevention
Non interventional
Cardiology
Original Article
observational study
business
Electrocardiography
Subjects
Details
- Language :
- English
- ISSN :
- 20552076
- Volume :
- 7
- Database :
- OpenAIRE
- Journal :
- Digital Health
- Accession number :
- edsair.doi.dedup.....64465bc190e968e7706ab571ce1f2c6a