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Researchers for this two-center prospective study recruited patients with presumed atrial fibrillation (AF) and matched controls in sinus rhythm. Each patient had a photoplethysmorgraphy (PPG) recording taken by a regular smartphone camera followed by an internet-enabled electrocardiography (iECG). PPG was analyzed using an algorithm and compared with a blinded iECG diagnosis. Based on 5 minutes of PPG analysis, the automatic algorithm detected AFA with 91.5% sensitivity and 99.6% specificity. Sensitivity was reduced to 89.9% and specificity to 99.1% when the analysis time was shortened to 1 minute. &ldquo;This is the first prospective clinical two-center study to demonstrate that detection of AF by using a smartphone camera alone is feasible, with high specificity and sensitivity,&rdquo; the researchers wrote. &ldquo;PPG signal analysis appears to be suitable for extended AF screening.&rdquo;<a href="https://academic.oup.com/europace/article/21/1/41/5062933">https://academic.oup.com/europace/article/21/1/41/5062933</a>Brasier N, Raichle C, Dorr M, et al. EP Europace. 2019;doi:10.1093/europace/euy176

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DETECT-AF PRO: Detection of Atrial Fibrillation with Smartphone Camera Feasible

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Researchers for this two-center prospective study recruited patients with presumed atrial fibrillation (AF) and matched controls in sinus rhythm. Each patient had a ...

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