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Patient-specific physiological monitoring and prediction using structured Gaussian processes

Abstract:

The management of patient well-being can be performed by monitoring continuous time-series vital-sign data via low-cost wearable devices. Automated algorithms may then be used with the resulting data to provide early warning of deterioration of the health of an individual. Such algorithms are typically trained for a large population without considering the time-variability and inter-subject variability of the data being collected. In the case where limited numbers of subjects are available, i...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/access.2019.2912079

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0002-1552-5630
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 Division
Department:
Engineering Science
Role:
Author
Publisher:
Institute of Electrical and Electronics Engineers Publisher's website
Journal:
IEEE Access Journal website
Volume:
7
Pages:
58094-58103
Publication date:
2019-04-24
Acceptance date:
2019-03-25
DOI:
ISSN:
2169-3536
Keywords:
Pubs id:
pubs:994622
UUID:
uuid:07f39a69-1502-425e-92b6-1b2132ca840d
Local pid:
pubs:994622
Source identifiers:
994622
Deposit date:
2019-04-26

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