Key result
Combined OPS-PF algorithms using nearest neighbor or weighted nearest neighbor likelihood functions accurately extracted respiratory rates up to 90 breaths/min from pulse oximeter recordings.
Population
33 healthy subjects with breathing rates ranging from 12 to 90 breaths/min
Comparison
Combined optimal parameter search and particle… vs Solely OPS-based AR algorithm
Design
Other
Authors
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Particle filtering may improve respiratory rate extraction from pulse oximetry in low SNR; leaves open prospective clinical validation.
A novel particle filtering algorithm combined with optimal parameter search allows accurate extraction of respiratory rates up to 90 breaths/min from pulse oximeter data.
Lee et al. (2010) studied Healthy subjects (n=33). Combined optimal parameter search (OPS) and particle filtering (PF) algorithms vs. Solely OPS-based AR algorithm was evaluated on Accuracy of respiratory rate extraction. Combined OPS-PF algorithms using nearest neighbor or weighted nearest neighbor likelihood functions accurately extracted respiratory rates up to 90 breaths/min from pulse oximeter recordings.
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