Fibricheck detection capabilities for atrial fibrillation (FDA–AF): a multicenter validation study

Atrial fibrillation (AF) is the most common arrhythmia worldwide and is associated with significant morbidity and mortality. FibriCheck is a medical analysis platform that uses an end-to-end algorithm to detect AF based on photoplethysmography signals recorded on consumer smartphones. The study aimed to validate FibriCheck in a multicenter, multinational cohort of 236 subjects across ten popular smartphone devices. The 12-lead electrocardiogram was used as the reference diagnosis. FibriCheck demonstrated high overall performance: accuracy 98.5% (95% CI: 98.0-99.0%); sensitivity 96.3% (95% CI: 94.4-97.7%); specificity 99.3% (95% CI: 98.8-99.7%). Performance was not affected by smartphone device or comorbid heart failure, vascular disease, hypertension, diabetes, or stroke. Sensitivity was reduced in individuals with darker skin tones and higher BMIs, but this was mitigated by technician verification. The study confirms the high accuracy, sensitivity, and specificity of the FibriCheck algorithm in detecting AF across various smartphone models and clinical subgroups.

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Publication Details

Journal
npj Digital Medicine
Published
2025-11-20
DOI
https://doi.org/10.1038/s41746-025-02059-2
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
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article

Fibricheck detection capabilities for atrial fibrillation (FDA–AF): a multicenter validation study

Dieter Nuyens, Stavros Stavrakis, Hein Heidbüchel, David J. Slotwiner et al.
npj Digital Medicine
Non-Invasive Vital Sign Monitoring
article

Fibricheck detection capabilities for atrial fibrillation (FDA–AF): a multicenter validation study

Dieter Nuyens, Stavros Stavrakis, Hein Heidbüchel, David J. Slotwiner, John Sollee, Máximo Rivero‐Ayerza, Alexander Volodarskiy, Baljash Cheema, Christophe Buyck, Laurent Pison, Hugo Van Herendael, Lien Desteghe, James D. Thomas
article en

Abstract

Atrial fibrillation (AF) is the most common arrhythmia worldwide and is associated with significant morbidity and mortality. FibriCheck is a medical analysis platform that uses an end-to-end algorithm to detect AF based on photoplethysmography signals recorded on consumer smartphones. The study aimed to validate FibriCheck in a multicenter, multinational cohort of 236 subjects across ten popular smartphone devices. The 12-lead electrocardiogram was used as the reference diagnosis. FibriCheck demonstrated high overall performance: accuracy 98.5% (95% CI: 98.0-99.0%); sensitivity 96.3% (95% CI: 94.4-97.7%); specificity 99.3% (95% CI: 98.8-99.7%). Performance was not affected by smartphone device or comorbid heart failure, vascular disease, hypertension, diabetes, or stroke. Sensitivity was reduced in individuals with darker skin tones and higher BMIs, but this was mitigated by technician verification. The study confirms the high accuracy, sensitivity, and specificity of the FibriCheck algorithm in detecting AF across various smartphone models and clinical subgroups.

npj Digital MedicineVol. 8(1)
Northwestern University (US), Shirley Ryan AbilityLab (US), NewYork–Presbyterian Hospital (US), University of Antwerp (BE), Cornell University (US), New York Hospital Queens (US), Presbyterian Hospital (US), Antwerp University Hospital (BE), Ziekenhuis Oost-Limburg (BE), University of Oklahoma Health Sciences Center (US)
Openalex Percentile: Top 66%
Non-Invasive Vital Sign Monitoring
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