Key result
FibriCheck smartphone app detects AF with ~99% accuracy versus 12-lead ECG.
Why the study?
Atrial fibrillation is the most common arrhythmia worldwide with high morbidity and mortality, requiring validation of consumer smartphone-based photoplethysmography detection algorithms.
Does the FibriCheck smartphone application accurately detect atrial fibrillation compared to a 12-lead electrocardiogram in a multicenter cohort?
Cross-Sectional (n=236)
Single-blind
Yes
Does the FibriCheck smartphone application accurately detect atrial fibrillation compared to a 12-lead electrocardiogram in a multicenter cohort?
Effect estimate: Accuracy 98.5% (95% CI 98.0-99.0%)
The FibriCheck smartphone application demonstrates high diagnostic accuracy, sensitivity, and specificity for detecting atrial fibrillation using photoplethysmography across various devices and clinical subgroups.
May facilitate smartphone AF screening; extends device validation but leaves open prospective outcome trials.
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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Sollee et al. (2025) conducted a cross-sectional in Atrial fibrillation (n=236). FibriCheck smartphone application vs. 12-lead ECG was evaluated on Accuracy in differentiating possible AF from non-possible AF without technician verification (Accuracy 98.5%, 95% CI 98.0-99.0%). The FibriCheck smartphone application detected atrial fibrillation with 98.5% accuracy, 96.3% sensitivity, and 99.3% specificity compared to 12-lead ECG across ten smartphone devices.
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