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Entropy 2014, 16(11), 5668-5676; doi:10.3390/e16115668

Permutation Entropy Applied to the Characterization of the Clinical Evolution of Epileptic Patients under PharmacologicalTreatment

1
Facultad de Matemática, Astronomía y Física, Universidad Nacional de Córdoba, Medina Allende s/n,Ciudad Universitaria, Córdoba X5000HUA, Argentina
2
Instituto Privado de Neurociencias, Felix Frias 129, Córdoba, Argentina
3
Consejo Nacional de Investigaciones Científicas y Técnicas, CONICET, Av. Rivadavia 1917 (C1033AAJ) Ciudad Autónoma de Buenos Aires, Argentina
*
Author to whom correspondence should be addressed.
Received: 12 August 2014 / Revised: 3 October 2014 / Accepted: 23 October 2014 / Published: 29 October 2014
(This article belongs to the Special Issue Entropy and Electroencephalography)
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Abstract

Different techniques originated in information theory and tools from nonlinear systems theory have been applied to the analysis of electro-physiological time series. Several clinically relevant results have emerged from the use of concepts, such as entropy, chaos and complexity, in analyzing electrocardiograms and electroencephalographic (EEG) records. In this work, we develop a method based on permutation entropy (PE) to characterize EEG records from different stages in the treatment of a chronic epileptic patient. Our results show that the PE is useful for clearly quantifying the evolution of the patient along a certain lapse of time and allows visualizing in a very convenient way the effects of the pharmacotherapy. View Full-Text
Keywords: permutation entropy; EEG analysis; pharmacological treatment permutation entropy; EEG analysis; pharmacological treatment
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Mateos, D.; Diaz, J.M.; Lamberti, P.W. Permutation Entropy Applied to the Characterization of the Clinical Evolution of Epileptic Patients under PharmacologicalTreatment. Entropy 2014, 16, 5668-5676.

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