Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

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.

Original publication

DOI

10.1109/iembs.2008.4649554

Type

Journal article

Journal

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference

Publication Date

01/2008

Volume

2008

Pages

1886 - 1889

Addresses

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

Keywords

Humans, Photoplethysmography, Monitoring, Physiologic, Regression Analysis, Biomedical Engineering, Respiration, Child