NDLI: Predictability of unplanned extubations

Content Provider	IEEE Xplore Digital Library
Author	Matam, B.R. Fule, B.K. Duncan, H.P. Lowe, D.
Copyright Year	2014
Description	Author affiliation: Pae-diatric Intensive Care Unit, Birmingham Children's Hosp., Birmingham, UK (Matam, B.R.; Fule, B.K.; Duncan, H.P.) \|\| Dept. of Math., Aston Univ., Birmingham, UK (Lowe, D.)
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.
Sponsorship	IEEE Comput. Soc.
Starting Page	488
Ending Page	491
File Size	360844
Page Count	4
File Format	PDF
ISBN	9781479921317
DOI	10.1109/BHI.2014.6864409
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-01
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vectors Pediatrics Market research Noise Delays Data models Physiology
Content Type	Text
Resource Type	Article

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