Literature DB >> 16235653

Interpretation of approximate entropy: analysis of intracranial pressure approximate entropy during acute intracranial hypertension.

Roberto Hornero1, Mateo Aboy, Daniel Abásolo, James McNames, Brahm Goldstein.   

Abstract

We studied changes in intracranial pressure (ICP) complexity, estimated by the approximate entropy (ApEn) of the ICP signal, as subjects progressed from a state of normal ICP (< 20-25 mmHg) to acutely elevated ICP (an ICP "spike" defined as ICP > 25 mmHg for < or = 5 min). We hypothesized that the measures of intracranial pressure (ICP) complexity and irregularity would decrease during acute elevations in ICP. To test this hypothesis we studied ICP spikes in pediatric subjects with severe traumatic brain injury (TBI). We conclude that decreased complexity of ICP coincides with episodes of intracranial hypertension (ICH) in TBI. This suggests that the complex regulatory mechanisms that govern intracranial pressure are disrupted during acute rises in ICP. Furthermore, we carried out a series of experiments where ApEn was used to analyze synthetic signals of different characteristics with the objective of gaining a better understanding of ApEn itself, especially its interpretation in biomedical signal analysis.

Entities:  

Mesh:

Year:  2005        PMID: 16235653     DOI: 10.1109/TBME.2005.855722

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  27 in total

1.  Intracranial hypertension prediction using extremely randomized decision trees.

Authors:  Fabien Scalzo; Robert Hamilton; Shadnaz Asgari; Sunghan Kim; Xiao Hu
Journal:  Med Eng Phys       Date:  2012-03-07       Impact factor: 2.242

2.  Complexity analysis of the cerebrospinal fluid pulse waveform during infusion studies.

Authors:  David Santamarta; Roberto Hornero; Daniel Abásolo; Milton Martínez-Madrigal; Javier Fernández; Jose García-Cosamalón
Journal:  Childs Nerv Syst       Date:  2010-08-03       Impact factor: 1.475

3.  Adaptive computation of approximate entropy and its application in integrative analysis of irregularity of heart rate variability and intracranial pressure signals.

Authors:  Xiao Hu; Chad Miller; Paul Vespa; Marvin Bergsneider
Journal:  Med Eng Phys       Date:  2007-08-21       Impact factor: 2.242

Review 4.  Multimodal monitoring and neurocritical care bioinformatics.

Authors:  J Claude Hemphill; Peter Andrews; Michael De Georgia
Journal:  Nat Rev Neurol       Date:  2011-07-12       Impact factor: 42.937

Review 5.  Data collection and interpretation.

Authors:  Giuseppe Citerio; Soojin Park; J Michael Schmidt; Richard Moberg; Jose I Suarez; Peter D Le Roux
Journal:  Neurocrit Care       Date:  2015-06       Impact factor: 3.210

6.  Entropy measures, entropy estimators, and their performance in quantifying complex dynamics: Effects of artifacts, nonstationarity, and long-range correlations.

Authors:  Wanting Xiong; Luca Faes; Plamen Ch Ivanov
Journal:  Phys Rev E       Date:  2017-06-12       Impact factor: 2.529

7.  Detrended fluctuation analysis of intracranial pressure predicts outcome following traumatic brain injury.

Authors:  Robert L Burr; Catherine J Kirkness; Pamela H Mitchell
Journal:  IEEE Trans Biomed Eng       Date:  2008-11       Impact factor: 4.538

8.  Approximate entropy and auto mutual information analysis of the electroencephalogram in Alzheimer's disease patients.

Authors:  D Abásolo; J Escudero; R Hornero; C Gómez; P Espino
Journal:  Med Biol Eng Comput       Date:  2008-09-11       Impact factor: 2.602

9.  Morphological clustering and analysis of continuous intracranial pressure.

Authors:  Xiao Hu; Peng Xu; Fabien Scalzo; Paul Vespa; Marvin Bergsneider
Journal:  IEEE Trans Biomed Eng       Date:  2008-11-07       Impact factor: 4.538

10.  Radial basis function classifiers to help in the diagnosis of the obstructive sleep apnoea syndrome from nocturnal oximetry.

Authors:  J Víctor Marcos; Roberto Hornero; Daniel Alvarez; Félix del Campo; Miguel López; Carlos Zamarrón
Journal:  Med Biol Eng Comput       Date:  2007-10-30       Impact factor: 2.602

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