Title :
Non-invasive measurement of respiratory rate in children using the photoplethysmogram
Author :
Fleming, Susannah ; Tarassenko, Lionel ; Thompson, Matthew ; Mant, David
Author_Institution :
Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, OX3 7DQ, UK
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.
Keywords :
Biomedical engineering; Biomedical measurements; Clothing; Current measurement; Data mining; Heart rate; Pediatrics; Pulse measurements; Stethoscope; Wire; Biomedical Engineering; Child; Humans; Monitoring, Physiologic; Photoplethysmography; Regression Analysis; Respiration;
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2008.4649554
