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Robust estimation of respiratory rate via ECG- and PPG-derived respiratory quality indices

Abstract:

Respiratory rate (RR) is one of the most informative indicators of a patient’s health status. However, automated, non-invasive measurements of RR are insufficiently robust for use in clinical practice. A number of methods have been described in the literature to estimate RR from both photoplethysmography (PPG) and electrocardiography (ECG) based on three physiological modulations of respiration: amplitude modulation (AM), frequency modulation (FM), and baseline wander (BW). However, the quali...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/EMBC.2016.7590792

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
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Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
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Funding agency for:
Birrenkott, D
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Funding agency for:
Pimentel, M
Grant:
WT 088877/Z/09/Z
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Funding agency for:
Clifton, D
Publisher:
Institute of Electrical and Electronics Engineers Publisher's website
Journal:
EMBC: 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Journal website
Host title:
EMBC 16: 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Publication date:
2016-10-01
Acceptance date:
2016-05-07
DOI:
Source identifiers:
626770
Pubs id:
pubs:626770
UUID:
uuid:cc5f73fc-fc49-46ac-a802-cf05b3dd13ee
Local pid:
pubs:626770
Deposit date:
2016-06-08

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