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.
Major findings:
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