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 electro...
Guardado en:
| Autores principales: | , , |
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| Formato: | article |
| Lenguaje: | Inglés |
| Publicado: |
2021
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/11086/20358 http://dx.doi.org/10.3390/e16115668 |
| Aporte de: |
| id |
I10-R141-11086-20358 |
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| record_format |
dspace |
| institution |
Universidad Nacional de Córdoba |
| institution_str |
I-10 |
| repository_str |
R-141 |
| collection |
Repositorio Digital Universitario (UNC) |
| language |
Inglés |
| topic |
Entropía de permutación Análisis de EEG Tratamiento Farmacológico Permutation entropy EEG analysis Pharmacological treatment |
| spellingShingle |
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 |
| topic_facet |
Entropía de permutación Análisis de EEG Tratamiento Farmacológico Permutation entropy EEG analysis 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 |
| 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 |
2021 |
| 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 |
| bdutipo_str |
Repositorios |
| _version_ |
1764820391916732416 |