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Journal article

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

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.

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Institution:
University of Oxford
Department:
Oxford, MSD, Primary Care Health Sciences, PHC-International
Role:
Author
Journal:
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
Pages:
1886-1889
Publication date:
2008-01-01
ISSN:
1557-170X
URN:
uuid:76d69333-51e9-4ee4-8344-434d32d3cbae
Source identifiers:
476831
Local pid:
pubs:476831
Language:
English

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