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

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. “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,” the researchers wrote. “PPG signal analysis appears to be suitable for extended AF screening.”

Brasier N, Raichle C, Dorr M, et al. EP Europace. 2019;doi:10.1093/europace/euy176