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

Fleming, S; Tarassenko, L; Thompson, M; Mant, D

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.

Actions

Email

Email this record

Send the bibliographic details of this record to your email address.

Your Email
Please enter the email address that the record information will be sent to.

-
Your message (optional)
Please add any additional information to be included within the email.
Cite

Cite this record

APA Style

Fleming, S., Tarassenko, L., Thompson, M., & Mant, D. (2008). Non-invasive measurement of respiratory rate in children using the photoplethysmogram. Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, 1886–1889.

MLA Style

Fleming, S., et al. “Non-Invasive Measurement of Respiratory Rate in Children Using the Photoplethysmogram.” Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, 2008, pp. 1886–89.

Chicago Style

Fleming, S, L Tarassenko, M Thompson, and D Mant. 2008. “Non-Invasive Measurement of Respiratory Rate in Children Using the Photoplethysmogram.” Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, 1886–89.
Tweet
Print