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Probabilistic sensor design for healthcare technology

Abstract:

In healthcare technology, failure to accurately detect a medical event, such as electromyographic (EMG) activity or the onset of a heart attack, could have serious consequences for the user. The application of sensor networks to optimize event detection is therefore a key area of biomedical engineering research. The optimum number of sensors for event detection can be difficult and time-consuming to determine experimentally. A novel probabilistic model could be used to estimate the appropriat...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/UEMCON47517.2019.8993086

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
Publisher:
Institute of Electrical and Electronics Engineers
Host title:
2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)
Pages:
0585 - 0590
Publication date:
2020-02-13
Acceptance date:
2019-08-05
Event title:
IEEE UEMCON 2019
Event location:
New York, USA
Event website:
http://ieee-uemcon.org/
Event start date:
2019-10-10
Event end date:
2019-10-12
DOI:
EISBN:
978-1-7281-3885-5
ISBN:
978-1-7281-3885-5
Pubs id:
pubs:1038482
UUID:
uuid:22fbd0b2-80d6-40d6-b34c-5f2170fbeedc
Local pid:
pubs:1038482
Source identifiers:
1038482
Deposit date:
2019-08-05

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