A robust fusion model for estimating respiratory rate from photoplethysmography and electrocardiography
CCBY 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 highly dependent on patient physiology, regardless of general signal quality. The present...
| Auteurs principaux: | , , , |
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| Format: | Journal article |
| Publié: |
Institute of Electrical and Electronics Engineers
2017
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