Show simple item record

dc.contributor.authorPatlar Akbulut, Fatma
dc.contributor.authorLawless, Kevin
dc.contributor.authorTanneeru, Akhilesh
dc.contributor.authorRao, Smriti
dc.contributor.authorLee, Bongmook
dc.contributor.authorMisra, Veena
dc.description.abstractIn this study, we present an algorithm to detect beat-to-beat interval from PPG in the presence of motion artifacts. Our approach includes splitting slowly varying DC components, statistical detrending, and Bessel filtering and Fast Fourier Transform with square window to reduce motion artifacts dependent on spectrum analysis. The algorithm segments beat intervals with a spectrogram to find the characteristic points of the waveform such as systolic and diastolic points. Interbeat intervals (IBI) are determined from these characteristic points to calculate heart rate. The PPG IBI algorithm is validated against ECG RR intervals from five different measurement sites during three daily activities. The results show that the most accurate IBI and HR detection from a wearable PPG device during regular user activity is from the upper arm or finger.
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.titleEstimation of beat-to-beat interval from wearable photoplethysmography sensor on different measurement sites during daily activities
dc.relation.journal2018 IEEE SENSORStr_TR

Files in this item


There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-NoDerivs 3.0 United States
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States