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A robust fusion model for estimating respiratory rate from photoplethysmography and electrocardiography

Abstract:

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 work describes an RR estimation algorithm using respiratory quality indices (RQIs) which assess the presence or absence of the PPG- and ECG-derived respiratory modulations. Methods: Six respirator...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1109/TBME.2017.2778265

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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Clinical Neurosciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Oxford college:
Balliol College
Role:
Author
Rhodes Trust More from this funder
UK Department of Health More from this funder
National Institute for Health Research More from this funder
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Publisher:
Institute of Electrical and Electronics Engineers Publisher's website
Journal:
IEEE Transactions on Biomedical Engineering Journal website
Volume:
65
Issue:
9
Pages:
2033 - 2041
Publication date:
2017-12-17
Acceptance date:
2017-11-25
DOI:
EISSN:
1558-2531
ISSN:
0018-9294
Pubs id:
pubs:797445
URN:
uri:2996f015-df52-459a-b38d-6a1ebc98d529
UUID:
uuid:2996f015-df52-459a-b38d-6a1ebc98d529
Local pid:
pubs:797445
Keywords:

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