Predictability of unplanned extubations

B.R. Matam, B.K. Fule, H.P. Duncan, D. Lowe

Research output: Chapter in Book/Published conference outputConference publication


Acute life threatening events such as cardiac/respiratory arrests are often predictable in adults and children. However critical events such as unplanned extubations are considered as not predictable. This paper seeks to evaluate the ability of automated prediction systems based on feature space embedding and time series methods to predict unplanned extubations in paediatric intensive care patients. We try to exploit the trends in the physiological signals such as Heart Rate, Respiratory Rate, Systolic Blood Pressure and Oxygen saturation levels in the blood using signal processing aspects of a frame-based approach of expanding signals using a nonorthogonal basis derived from the data. We investigate the significance of the trends in a computerised prediction system. The results are compared with clinical observations of predictability. We will conclude by investigating whether the prediction capability of the system could be exploited to prevent future unplanned extubations.

Original languageEnglish
Title of host publication2014 IEEE-EMBS international conference on Biomedical and Health Informatics (BHI)
Number of pages4
ISBN (Print)978-1-4799-2131-7
Publication statusPublished - 2014
Event2014 IEEE-EMBS international conference on Biomedical and Health Informatics - Valencia, Spain
Duration: 1 Jun 20144 Jun 2014


Conference2014 IEEE-EMBS international conference on Biomedical and Health Informatics
Abbreviated titleBHI 2014

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