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Estimation of respiratory rate from motion contaminated photoplethysmography signals incorporating accelerometry

Abstract:

Estimation of respiratory rate (RR) from photoplethysmography (PPG) signals has important applications in the healthcare sector, from assisting doctors onwards to monitoring patients in their own homes. The problem is still very challenging, particularly during the motion for large segments of data, where results from different methods often do not agree. The authors aim to propose a new technique which performs motion reduction from PPG signals with the help of simultaneous acceleration sign...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1049/htl.2018.5019

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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
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Publisher:
Institution of Engineering and Technology Publisher's website
Journal:
Healthcare Technology Letters Journal website
Volume:
6
Issue:
1
Pages:
19-26
Publication date:
2018-12-19
Acceptance date:
2018-11-20
DOI:
EISSN:
2053-3713
Source identifiers:
944687
Pubs id:
pubs:944687
UUID:
uuid:09c19127-94d1-4270-a07a-3a2c01cbe45d
Local pid:
pubs:944687
Deposit date:
2018-11-20

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