A robust fusion model for estimating respiratory rate from photoplethysmography and electrocardiography
Objective: Respiratory rate (RR) estimation algorithms based on the photoplethymogram (PPG) and electrocardiogram (ECG) lack clinical robustness. This is because the PPG and ECG respiratory modulations are dependent on patient physiology, regardless of general signal quality. The present work describes an RR estimation algorithm using respiratory quality indices (RQIs) which assess the presence or absence of the PPGand ECG-derived respiratory modulations.
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- © 2017 IEEE. This work is licensed under a Creative Commons Attribution 3.0 License.
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