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Physical activity and sleep analysis of heart failure patients using multi-sensor patches

Abstract:

Traditional heart failure markers fail to reliably predict heart-failure related hospitalisations and deaths. Multi-sensor patch data can provide an objective insight into activity and sleep patterns of patients and may therefore improve the performance of current risk-quantification algorithms. This work aimed to establish the feasibility of collecting multi-sensor patch data from heart failure patients and to perform an initial analysis of activity and sleep patterns of heart failure patien...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted manuscript

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Publisher copy:
10.1109/embc.2018.8513594

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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Women's and Reproductive Health
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
ORCID:
0000-0002-9203-1124
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Funding agency for:
O'Donnell, J
National Institute for Health Research More from this funder
Publisher:
Institute of Electrical and Electronics Engineers Publisher's website
Pages:
6092-6095
Publication date:
2018-10-29
Acceptance date:
2018-04-07
DOI:
EISSN:
1557-170X
ISSN:
1558-4615
Pubs id:
pubs:949120
URN:
uri:f5b44832-e228-4452-ad4e-82c9076029b7
UUID:
uuid:f5b44832-e228-4452-ad4e-82c9076029b7
Local pid:
pubs:949120
ISBN:
978-1-5386-3646-6

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