Predictability of unplanned extubations

Matam, B.R., Fule, B.K., Duncan, H.P. and Lowe, D. (2014). Predictability of unplanned extubations. IN: 2014 IEEE-EMBS international conference on Biomedical and Health Informatics (BHI). IEEE.

Abstract

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.

Publication DOI: https://doi.org/10.1109/BHI.2014.6864409
Divisions: Engineering & Applied Sciences > Mathematics
Engineering & Applied Sciences > Systems analytics research institute (SARI)
Engineering & Applied Sciences > Computer science research group
Additional Information: © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Event Title: 2014 IEEE-EMBS international conference on Biomedical and Health Informatics
Event Type: Other
Event Dates: 2014-06-01 - 2014-06-04
Uncontrolled Keywords: Biomedical Engineering,Health Informatics
Full Text Link: http://ieeexplo ... rnumber=6864409
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
Published Date: 2014
Authors: Matam, B.R.
Fule, B.K.
Duncan, H.P.
Lowe, D.

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