A recent prospective validation study published by Karim et al. at the EHRA 2017 confirmed the high accuracy of the implemented algorithm in Preventicus Heartbeats for detection of atrial fibrillation.
70 patients in an atrial fibrillation rhythm and 70 patients in sinus rhythm were recruited from inpatient wards and outpatient clinics. Mean age was 73±12 (60% male) in the atrial fibrillation group, 59±20 in the sinus rhythm group (66% male).
The results of Preventicus Heartbeats were compared to another app BeatScanner. This app had a sensitivity of 89% (95% CI: 79-95%) and specificity of 67% (55- 78%). The Preventicus app had a sensitivity of 94% (86- 98%) and specificity of 96% (88-99%).
Almost all (96%) found the apps easy to use and 63% preferred the Preventicus app to the BeatScanner app.
Authors came to the conclusion that in a selected sample of hospital patients, the Preventicus app was more accurate for discriminating between atrial fibrillation and sinus rhythm than the BeatScanner app and was preferred by patients.
More information here: Evidence.
Source: N. Karim, M. Aral, S. Eduwor, D. Wald, M. Finlay (Barts Heart Center, Barts Health NHS Trust, London, GB), AF detection using smartphone apps, Europace (2017) 19 (Supplement 3), iii234