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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.
Publication status:
Published

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Publisher copy:
10.1109/iembs.2008.4649554

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Institute of Biomedical Engineering
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Primary Care Health Sciences
Role:
Author
Journal:
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference More from this journal
Volume:
2008
Pages:
1886-1889
Publication date:
2008-01-01
DOI:
ISSN:
1557-170X
Language:
English
Keywords:
Pubs id:
pubs:61539
UUID:
uuid:0cac8466-36a5-4258-a203-be70390c8f60
Local pid:
pubs:61539
Source identifiers:
61539
Deposit date:
2012-12-19

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