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Predictive monitoring of mobile patients by combining clinical observations with data from wearable sensors.

Abstract:

The majority of patients in the hospital are ambulatory and would benefit significantly from predictive and personalized monitoring systems. Such patients are well suited to having their physiological condition monitored using low-power, minimally intrusive wearable sensors. Despite data-collection systems now being manufactured commercially, allowing physiological data to be acquired from mobile patients, little work has been undertaken on the use of the resultant data in a principled manner...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1109/jbhi.2013.2293059

Authors


More by this author
Institution:
University of Oxford
Department:
Oxford, MSD, NDORMS, CSM
More by this author
Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science, Institute of Biomedical Engineering
More by this author
Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science, Institute of Biomedical Engineering
More by this author
Institution:
University of Oxford
Department:
Oxford, MSD, NDM
More by this author
Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science, Institute of Biomedical Engineering
Publisher:
Institute of Electrical and Electronics Engineers Publisher's website
Journal:
IEEE Journal of Biomedical and Health Informatics Journal website
Volume:
18
Issue:
3
Pages:
722-730
Publication date:
2013-11-26
DOI:
EISSN:
2168-2208
ISSN:
2168-2194
URN:
uuid:b677bb0e-98b5-41a2-b8bd-6633195bec03
Source identifiers:
466558
Local pid:
pubs:466558

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