A novel contact-free atrial fibrillation monitor: a pilot study. Issue 1 (31st December 2021)

• Record Type: Journal Article
• Authors: Sadeh, Ben; Merdler, Ilan; Sadon, Sapir; Lupu, Lior; Borohovitz, Ariel; Ghantous, Eihab; Taieb, Philippe; Granot, Yoav; Goldstein, Orit; Soriano, Jonathan Calderón; Rubio-Oliver, Ricardo; Ruiz-Rivas, Joaquin; Zalevsky, Zeev; Garcia-Monreal, Javier; Shatsky, Maxim; Polani, Sagi; Arbel, Yaron
• Is Part Of: European heart journal. Volume 3:Issue 1(2022)
• Page Start: 105
• Page End: 113
• Publication Date: 2021-12-31
• Subjects: Contact free -- Vital signs -- Heart rate -- Respiratory rate -- Laser -- Camera; Medical informatics -- Periodicals; Medical technology -- Periodicals; Cardiovascular system -- Periodicals; 616.100284
• DOI: 10.1093/ehjdh/ztab108
• Languages: English
• ISSNs: 2634-3916

Abstract

Abstract: Aims: Atrial fibrillation (AF) is a major cause of morbidity and mortality. Current guidelines support performing electrocardiogram (ECG) screenings to spot AF in high-risk patients. The purpose of this study was to validate a new algorithm aimed to identify AF in patients measured with a recent FDA-cleared contact-free optical device. Methods and results: Study participants were measured simultaneously using two devices: a contact-free optical system that measures chest motion vibrations (investigational device, 'Gili') and a standard reference bed-side ECG monitor (Mindray ® ). Each reference ECG was evaluated by two board certified cardiologists that defined each trace as: regular rhythm, AF, other irregular rhythm or indecipherable/missing. A total of 3582, 30-s intervals, pertaining to 444 patients (41.9% with a history of AF) were made available for analysis. Distribution of patients with active AF, other irregular rhythm, and regular rhythm was 16.9%, 29.5%, and 53.6% respectively. Following application of cross-validated machine learning approach, the observed sensitivity and specificity were 0.92 [95% confidence interval (CI): 0.91–0.93] and 0.96 (95% CI: 0.95–0.96), respectively. Conclusion: This study demonstrates for the first time the efficacy of a contact-free optical device for detecting AF. Graphical abstract: