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

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  • 1Department of Internal Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.

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FibriCheck, a smartphone app, accurately detects atrial fibrillation (AF) using photoplethysmography signals. This validation study confirms its high performance across diverse devices and patient groups, offering a promising tool for arrhythmia detection.

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Area of Science:

  • Cardiology
  • Medical Technology
  • Digital Health

Background:

  • Atrial fibrillation (AF) is a prevalent arrhythmia linked to increased morbidity and mortality.
  • Early detection of AF is crucial for effective management and prevention of complications.

Purpose of the Study:

  • To validate the FibriCheck medical analysis platform for detecting atrial fibrillation using smartphone-based photoplethysmography.
  • To assess FibriCheck's performance across multiple smartphone devices and diverse patient populations.

Main Methods:

  • A multicenter, multinational study involved 236 subjects using ten popular smartphone models.
  • FibriCheck algorithm analyzed photoplethysmography signals for AF detection.
  • A 12-lead electrocardiogram served as the reference standard for diagnosis.

Main Results:

  • FibriCheck achieved high overall performance: 98.5% accuracy, 96.3% sensitivity, and 99.3% specificity.
  • Performance remained consistent across different smartphone devices and various comorbidities (heart failure, hypertension, diabetes, etc.).
  • Reduced sensitivity in darker skin tones and higher BMIs was noted but mitigated by technician verification.

Conclusions:

  • The FibriCheck algorithm demonstrates high accuracy, sensitivity, and specificity for AF detection via smartphones.
  • FibriCheck is a reliable tool for AF screening across various smartphone models and clinical subgroups.
  • This technology holds potential for widespread, accessible arrhythmia monitoring.