Bayesian fusion of algorithms for the robust estimation of respiratory rate from the photoplethysmogram
<p>Respiratory rate (RR) is a key vital sign that is monitored to assess the health of patients. With the increase of the availability of wearable devices, it is important that RR is extracted in a robust and noninvasive manner from the photoplethysmogram (PPG) acquired from pulse oximeters an...
Main Authors: | Zhu, T, Pimentel, M, Clifford, G, Clifton, D |
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Format: | Conference item |
Published: |
IEEE
2015
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