Measuring Body Temperature Series Regularity Using Approximate Entropy and Sample Entropy

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F09%3A00161999" target="_blank" >RIV/68407700:21230/09:00161999 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Measuring Body Temperature Series Regularity Using Approximate Entropy and Sample Entropy

Original language description

Approximate Entropy (ApEn) and Sample Entropy (SampEn) have proven to be a valuable analyzing tool for a number of physiological signals. However, the characterization of these metrics is still lacking. We applied ApEn and SampEn to body temperature timeseries recorded from patients in critical state. This study was aimed at finding the optimal analytical configuration to best distiguishing between survivor and non-survivor records, and at gaining additional insight into the characterization of such tools. A statistical analysis of the results was conducted to support the parameter and metric selection criteria for this type of physiological signals.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JC - Computer hardware and software

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2009

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society

ISBN

978-1-4244-3296-7

ISSN

1557-170X

e-ISSN

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Number of pages

4

Pages from-to

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Publisher name

IEEE

Place of publication

Piscataway

Event location

Minneapolis

Event date

Sep 2, 2009

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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