To detect premature beats when they actually occur, the authors aimed to determine how accurate this is possible with pulse waves captured with a smartphone camera. ECG and pulse wave recordings were taken in 46 patients simultaneously. In total 17.416 beats have been analyzed and classified by ECG based decision of a cardiologist: 16.875 regular beats and 541 irregular (premature beats. Detection of premature beats with the pulse wave algorithm achieved an overall accuracy of 99.5% (sensitivity 91.2%, specificity 99.7%) compared to cardiologists decision based on ECG. Conclusion: The detection of premature beats using smartphone-based pulse wave recordings possesses a very high accuracy. This is an important step in using smartphones to record rhythm disorders that occur only sporadically and are difficult to detect with present standard methods.
Detection of premature beats with the Preventicus algorithm achieved an overall accuracy of 99.5%.
S. Weber, J. Eckstein, N. Koenig, A. Seeck, R. Birkemeyer; P1617Detection of premature beats using smartphone-based pulse wave recordings, EP Europace, Volume 19, Issue suppl_3, 1 June 2017, Pages iii347