Pulse Rate Analysis from the Photoplethysmographic Signal for Turbulence Detection
نویسندگان
چکیده
In this paper we assessed the possibility of using the pulse rate (PR) extracted from the photoplethysmographic signal for turbulence detection as an alternative to the heart rate (HR). The study is based on analysis of the rhythm changes observed during 4131 ventricular premature beats of 27 subjects. Classical features for turbulence analysis, turbulence onset and turbulence slope were estimated based on HR and PR. Then, patients were classified as turbulence or no-turbulence based on PR features, the accuracy of the method was evaluated considering subjects classification based on HR as the reference. Features analyzed produce an Acc=95% in turbulence detection and subject classification among HR turbulence categories produce an Acc=91% for PR analysis. These results show that PR analysis could be used as a surrogate technique for turbulence detection.
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