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Probabilistic Patient Monitoring with Multivariate, Multimodal Extreme Value Theory

Abstract:

Conventional patient monitoring is performed by generating alarms when vital signs exceed pre-determined thresholds, but the false-alarm rate of such monitors in hospitals is so high that alarms are typically ignored. We propose a principled, probabilistic method for combining vital signs into a multivariate model of patient state, using extreme value theory (EVT) to generate robust alarms if a patient's vital signs are deemed to have become sufficiently "extreme". Our proposed formulation op...

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Publication status:
Published

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Authors


Hugueny, S More by this author
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Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science
More by this author
Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science, Biomedical Research Centre
Volume:
127
Pages:
199-211
Publication date:
2011
DOI:
ISSN:
1865-0929
URN:
uuid:ae10838b-7e51-4fa1-aa4d-f8725b861a4a
Source identifiers:
132538
Local pid:
pubs:132538
ISBN:
978-3-642-18471-0

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