A Statistical Comparative Study of Photoplethysmographic Signals in Wrist-Worn and Fingertip Pulse-Oximetry Devices

Kais Gadhoumi, Kevin Keenan, Rene Colorado, Karl Meisel, Xiao Hu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Prolonged time-matching continuous recordings of electrocardiogram and photoplethysmographic waveforms from fingertip pulse oximeter and wrist-worn devices obtained from stroke patients admitted to the intensive care unit were analyzed. Heart rate and pulse rate variability indices and signal complexity were estimated and statistically compared to investigate the reliability of heart rate estimation using photoplethymography and whether fingertip pulse oximetry and radial photoplethymography reflect the same pulse rate variability. Heart rates were generally found to be accurately estimated by both photoplethysmographic modalities when using the electrocardiogram as a reference. Pulse rate variability analysis showed statistically comparable properties between photoplethysmographic modalities, suggesting that fingertip pulse oximetry and wrist photoplethymography reflect the same cardiovascular changes.

Original languageEnglish (US)
Title of host publicationComputing in Cardiology Conference, CinC 2018
PublisherIEEE Computer Society
ISBN (Electronic)9781728109589
DOIs
StatePublished - Sep 2018
Externally publishedYes
Event45th Computing in Cardiology Conference, CinC 2018 - Maastricht, Netherlands
Duration: Sep 23 2018Sep 26 2018

Publication series

NameComputing in Cardiology
Volume2018-September
ISSN (Print)2325-8861
ISSN (Electronic)2325-887X

Conference

Conference45th Computing in Cardiology Conference, CinC 2018
CountryNetherlands
CityMaastricht
Period9/23/189/26/18

ASJC Scopus subject areas

  • Computer Science(all)
  • Cardiology and Cardiovascular Medicine

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    Gadhoumi, K., Keenan, K., Colorado, R., Meisel, K., & Hu, X. (2018). A Statistical Comparative Study of Photoplethysmographic Signals in Wrist-Worn and Fingertip Pulse-Oximetry Devices. In Computing in Cardiology Conference, CinC 2018 [8743717] (Computing in Cardiology; Vol. 2018-September). IEEE Computer Society. https://doi.org/10.22489/CinC.2018.316