Nonlinear modelisation of a signal EEG by the logistic equation

Author

Hamadene, Wassila ; Peyrodie, Laurent ; Vasseur, Christian ; Gallois, Philippe ; Forzy, Gerard

Author_Institution

Autom. Dept., ERASM-HEI, France

fYear

2003

fDate

20-22 Oct. 2003

Firstpage

328

Lastpage

329

Abstract

Very early after the discovery of the EEG, a certain number of authors tried to apply the mathematical tools to the treatment of this signal which appears complex, in spite of its relatively narrow band-width. The goal of this work is to show that the simple mathematical tools resulting from the theory of chaos, seem particularly promising to apprehend signal EEG.

Keywords

chaos; electroencephalography; medical signal processing; nonlinear dynamical systems; chaos; electroencephalography; logistic equation; mathematical tools; nervous system; nonlinear dynamical systems; nonlinear modelisation; signal EEG; Brain modeling; Chaos; Difference equations; Differential equations; Educational institutions; Electroencephalography; Logistics; Mathematical model; Neurophysiology; Nonlinear equations;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering, 2003. IEEE EMBS Asian-Pacific Conference on

Print_ISBN

0-7803-7943-8

Type

conf

DOI

10.1109/APBME.2003.1302717

Filename

1302717

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3039360