Non-invasive measurement of respiratory rate in children using the photoplethysmogram.
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...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
2008
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