Karim N, Aral S et al. AF detection using smartphone apps. EP Europace, Volume 19, Issue suppl_3, 1 June 2017, Pages iii234




To determine whether smartphone apps that require no additional peripheral devices are sufficiently accurate to screen populations for atrial fibrillation (AF), the authors  prospectively and blinded analyzed smartphone apps, e.g. Preventicus Heartbeats utilizing the camera function in comparison to cardiologists AF diagnosis based on ECG. 140 in- and outpatients recruited with AF and sinus rhythm (n=70, 73±12 mean age, 60% male and n=70, 59±20, 66% respectively) were administered a 12-lead ECG along with a questionnaire on their smartphone use. Excluded were patients with sinus arrhythmia, paced rhythms and premature ectopic beats. The sensitivity and specificity of Preventicus was 94% and 96% respectively. Thus, the Preventicus app was more accurate compared to other smartphone application and proved to be preferred by the patients surveyed. Smartphone apps appear easy to-use and suitable for population screening.


Major findings: Prospective and blinded validation of Preventicus application confirmed discrimination between AF patients and controls (sinus rhythm) with a sensitivity of 94%, and specificity of 96%.


N. Karim, M. Aral, S. Eduawor, M. Finlay; P1067AF detection using smartphone apps, EP Europace, Volume 19, Issue suppl_3, 1 June 2017, Pages iii234


Read study here.