DocumentCode :
3039360
Title :
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 :
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