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Validation of instantaneous respiratory rate using reflectance PPG from different body positions

Abstract:

Respiratory rate (RR) is a key parameter used in healthcare for monitoring and predicting patient deterioration. However, continuous and automatic estimation of this parameter from wearable sensors is still a challenging task. Various methods have been proposed to estimate RR from wearable sensors using windowed segments of the data; e.g., often using a minimum of 32 s. Little research has been reported in the literature concerning the instantaneous detection of respiratory rate from such sou...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.3390/s18113705

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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:
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:
MPLS
Department:
Engineering Science
Oxford college:
Balliol College
Role:
Author
Publisher:
MDPI Publisher's website
Journal:
Sensors Journal website
Volume:
18
Issue:
11
Article number:
3705
Publication date:
2018-10-31
Acceptance date:
2018-10-22
DOI:
EISSN:
1424-8220
ISSN:
1530-437X
Pubs id:
pubs:930113
UUID:
uuid:09df15a8-8275-4bf0-82bd-1e6300c1f5a9
Local pid:
pubs:930113
Deposit date:
2018-10-22

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