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Accelerometry-based estimation of respiratory rate for post-intensive care patient monitoring

Abstract:

This paper evaluates the use of accelerometers for continuous monitoring of respiratory rate (RR), which is an important vital sign in post-intensive care patients or those inside the intensive care unit (ICU). The respiratory rate can be estimated from accelerometer and photoplethysmography (PPG) signals for patients following ICU discharge. Due to sensor faults, sensor detachment, and various artifacts arising from motion, RR estimates derived from accelerometry and PPG may not be sufficien...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted manuscript

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Publisher copy:
10.1109/JSEN.2018.2828599

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More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
ORCID:
0000-0001-6699-8721
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
ORCID:
0000-0002-6814-1382
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Oxford college:
Balliol College
Publisher:
Institute of Electrical and Electronics Engineers Publisher's website
Journal:
IEEE Sensors Journal Journal website
Volume:
18
Issue:
12
Pages:
4981-4989
Publication date:
2018-04-19
Acceptance date:
2018-04-05
DOI:
EISSN:
2379-9153
ISSN:
1530-437X
Pubs id:
pubs:844786
URN:
uri:92aa10da-c801-4f99-be91-a2a8e34ebaea
UUID:
uuid:92aa10da-c801-4f99-be91-a2a8e34ebaea
Local pid:
pubs:844786

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