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Thesis

Data fusion models for detection of vital-sign deterioration in acutely ill patients

Abstract:

Vital signs can indicate patient deterioration prior to adverse events such as cardiac arrest, emergency admission to the intensive care unit (ICU), or death. However, many adverse events occur in wards outside the ICU where the level of care and the frequency of patient monitoring are lower than in the ICU. This thesis describes models for detection of deterioration in acutely ill patients in two environments: a step-down unit in which patients recovering from an ICU stay are continuously...

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Institution:
University of Oxford
Research group:
Biomedical Signal Processing
Oxford college:
Oriel College
Department:
Mathematical,Physical & Life Sciences Division - Engineering Science
Role:
Author

Contributors

Role:
Supervisor
Publication date:
2014
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
Oxford University, UK
URN:
uuid:b8e13f5b-065c-4d2d-a8dc-d231109194f4
Local pid:
ora:8846

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