Permutation entropy applied to the characterization of the clinical evolution of epileptic patients under pharmacological treatment
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.
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2014
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Subjects: | Entropía de permutación, Análisis de EEG, Tratamiento Farmacológico, Permutation entropy, EEG analysis, Pharmacological treatment, |
Online Access: | http://hdl.handle.net/11086/20358 http://dx.doi.org/10.3390/e16115668 |
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dig-unc-ar-11086-203582022-10-13T11:06:58Z Permutation entropy applied to the characterization of the clinical evolution of epileptic patients under pharmacological treatment Mateos, Diego Díaz, Juan Manuel Lamberti, Pedro Walter Entropía de permutación Análisis de EEG Tratamiento Farmacológico Permutation entropy EEG analysis Pharmacological treatment 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. publishedVersion Fil: Mateos, Diego. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Fil: Díaz, Juan Manuel. Instituto Privado de Neurociencias; Argentina. Fil: Lamberti, Pedro Walter. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Fil: Lamberti, Pedro Walter. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Otras Ciencias Físicas 2021-09-17T01:29:58Z 2021-09-17T01:29:58Z 2014 article http://hdl.handle.net/11086/20358 http://dx.doi.org/10.3390/e16115668 eng Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Electrónico y/o Digital issn: 1099-4300 |
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Biblioteca 'Ing. Agrónomo Moisés Farber' de la Facultad de Ciencias Agropecuarias |
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Entropía de permutación Análisis de EEG Tratamiento Farmacológico Permutation entropy EEG analysis Pharmacological treatment Entropía de permutación Análisis de EEG Tratamiento Farmacológico Permutation entropy EEG analysis Pharmacological treatment |
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Entropía de permutación Análisis de EEG Tratamiento Farmacológico Permutation entropy EEG analysis Pharmacological treatment Entropía de permutación Análisis de EEG Tratamiento Farmacológico Permutation entropy EEG analysis Pharmacological treatment Mateos, Diego Díaz, Juan Manuel Lamberti, Pedro Walter Permutation entropy applied to the characterization of the clinical evolution of epileptic patients under pharmacological treatment |
description |
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. |
format |
article |
topic_facet |
Entropía de permutación Análisis de EEG Tratamiento Farmacológico Permutation entropy EEG analysis Pharmacological treatment |
author |
Mateos, Diego Díaz, Juan Manuel Lamberti, Pedro Walter |
author_facet |
Mateos, Diego Díaz, Juan Manuel Lamberti, Pedro Walter |
author_sort |
Mateos, Diego |
title |
Permutation entropy applied to the characterization of the clinical evolution of epileptic patients under pharmacological treatment |
title_short |
Permutation entropy applied to the characterization of the clinical evolution of epileptic patients under pharmacological treatment |
title_full |
Permutation entropy applied to the characterization of the clinical evolution of epileptic patients under pharmacological treatment |
title_fullStr |
Permutation entropy applied to the characterization of the clinical evolution of epileptic patients under pharmacological treatment |
title_full_unstemmed |
Permutation entropy applied to the characterization of the clinical evolution of epileptic patients under pharmacological treatment |
title_sort |
permutation entropy applied to the characterization of the clinical evolution of epileptic patients under pharmacological treatment |
publishDate |
2014 |
url |
http://hdl.handle.net/11086/20358 http://dx.doi.org/10.3390/e16115668 |
work_keys_str_mv |
AT mateosdiego permutationentropyappliedtothecharacterizationoftheclinicalevolutionofepilepticpatientsunderpharmacologicaltreatment AT diazjuanmanuel permutationentropyappliedtothecharacterizationoftheclinicalevolutionofepilepticpatientsunderpharmacologicaltreatment AT lambertipedrowalter permutationentropyappliedtothecharacterizationoftheclinicalevolutionofepilepticpatientsunderpharmacologicaltreatment |
_version_ |
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