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: | , , , |
|---|---|
| Format: | Conference item |
| Published: |
IEEE
2015
|