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

Conf Proc IEEE Eng Med Biol Soc

Publication Date

2008

Volume

2008

Pages

1886 - 1889

Keywords

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