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Predicting survival in critical patients by use of body temperature regularity measurement based on approximate entropy

Cuesta, D, Varela, M, Miro, P, Galdos, P, Abasolo, D, Hornero, R and Aboy, M (2007) Predicting survival in critical patients by use of body temperature regularity measurement based on approximate entropy MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 45 (7). 671 - 678. ISSN 0140-0118

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Abstract

Body temperature is a classical diagnostic tool for a number of diseases. However, it is usually employed as a plain binary classification function (febrile or not febrile), and therefore its diagnostic power has not been fully developed. In this paper, we describe how body temperature regularity can be used for diagnosis. Our proposed methodology is based on obtaining accurate long-term temperature recordings at high sampling frequencies and analyzing the temperature signal using a regularity metric (approximate entropy). In this study, we assessed our methodology using temperature registers acquired from patients with multiple organ failure admitted to an intensive care unit. Our results indicate there is a correlation between the patient’s condition and the regularity of the body temperature. This finding enabled us to design a classifier for two outcomes (survival or death) and test it on a dataset including 36 subjects. The classifier achieved an accuracy of 72%.

Item Type: Article
Additional Information: The original publication is available at http://www.springerlink.com/content/90667h6422108117/
Uncontrolled Keywords: Science & Technology, Technology, Life Sciences & Biomedicine, Computer Science, Interdisciplinary Applications, Engineering, Biomedical, Mathematical & Computational Biology, Medical Informatics, Computer Science, Engineering, body temperature, approximate entropy, temperature regularity, ROC analysis, biomedical signal processing, HEART-RATE DYNAMICS, INTRACRANIAL HYPERTENSION, COMPLEXITY, NORMALITY, CURVE, TESTS
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Divisions: Faculty of Engineering and Physical Sciences > Mechanical Engineering Sciences
Depositing User: Symplectic Elements
Date Deposited: 31 Oct 2012 13:26
Last Modified: 23 Sep 2013 19:41
URI: http://epubs.surrey.ac.uk/id/eprint/726365

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