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

Entropy

Diego Mateos²  Juan M. Diaz¹ 

[1] Instituto Privado de Neurociencias, Felix Frias 129, Córdoba, Argentina; E-Mail:;Facultad de Matemática, Astronomía y Física, Universidad Nacional de Córdoba, Medina Allende s/n, Ciudad Universitaria, Córdoba X5000HUA, Argentina; E-Mail:

关键词: permutation entropy;    EEG analysis;    pharmacological treatment;   

DOI  :  10.3390/e16115668

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland