Non-invasive measurement of respiratory rate in children using the photoplethysmogram

Susannah Fleming; Lionel Tarassenko; Matthew Thompson; David Mant

doi:10.1109/IEMBS.2008.4649554

Non-invasive measurement of respiratory rate in children using the photoplethysmogram

Annu Int Conf IEEE Eng Med Biol Soc. 2008:2008:1886-9. doi: 10.1109/IEMBS.2008.4649554.

Authors

Susannah Fleming¹, Lionel Tarassenko, Matthew Thompson, David Mant

Affiliation

¹ Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, OX3 7DQ, UK.

PMID: 19163057
DOI: 10.1109/IEMBS.2008.4649554

Abstract

Respiratory rate is recognised as a valuable predictor of the severity of illness in children, but it is not currently feasible to measure this automatically in a triage environment. Autoregressive modelling on data from the pulse oximeter photoplethysmogram has the potential to introduce automated breathing measurement into the realm of paediatric triage. Using autoregressive modelling, it is shown that respiratory rate can be extracted from the paediatric photoplethysmogram with a mean error of 3.4 breaths per minute.

Publication types

Evaluation Study
Research Support, Non-U.S. Gov't

MeSH terms

Biomedical Engineering
Child
Humans
Monitoring, Physiologic / instrumentation
Monitoring, Physiologic / methods
Monitoring, Physiologic / statistics & numerical data
Photoplethysmography / instrumentation
Photoplethysmography / methods*
Photoplethysmography / statistics & numerical data
Regression Analysis
Respiration*