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Localised photoplethysmography imaging for heart rate estimation of pre-term infants in the clinic

Abstract:

Non-contact vital-sign estimation allows the monitoring of physiological parameters (such as heart rate, respiratory rate, and peripheral oxygen saturation) without contact electrodes or sensors. Our recent work has demonstrated that a convolutional neural network (CNN) can be used to detect the presence of a patient and segment the patient’s skin area for vital-sign estimation, thus enabling the automatic continuous monitoring of vital signs in a hospital environment. In a study approved by...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1117/12.2289759

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Institution:
University of Oxford
Division:
Maths, Physical & Life Sciences
Department:
Engineering Science
Role:
Author
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Institution:
University of Oxford
Division:
Maths, Physical & Life Sciences
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Maths, Physical & Life Sciences
Department:
Engineering Science
Role:
Author
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Institution:
University of Oxford
Division:
Medical Sciences
Department:
Paediatrics
Role:
Author
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Funding agency for:
Chaichulee, S
Grant:
EP/G036861/1
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Funding agency for:
Villarroel, M
Grant:
WT88877/Z/09/Z
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Funding agency for:
Villarroel, M
Grant:
WT88877/Z/09/Z
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Funding agency for:
Jorge, J
Grant:
SFRH/BD/85158/2012
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Publisher:
Society of Photo-Optical Instrumentation Engineers Publisher's website
Journal:
Progress in Biomedical Optics and Imaging Journal website
Volume:
19
Issue:
35
Host title:
Progress in Biomedical Optics and Imaging; Optical Diagnostics and Sensing XVIII: Toward Point-of-Care Diagnostics
Publication date:
2018-02-20
Acceptance date:
2017-10-01
DOI:
EISSN:
1605-7422
Source identifiers:
844477
ISBN:
9781510614871
Keywords:
Pubs id:
pubs:844477
UUID:
uuid:ad95e923-b728-4501-b94c-95bd246b216c
Local pid:
pubs:844477
Deposit date:
2018-08-17

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