Chaosmakers: rhythmicity breakers

Author

Courville, Aaron ; Bardakjian, Berj L.

Author_Institution

Inst. of Biomater. & Biomed. Eng., Toronto Univ., Ont., Canada

Volume

1

fYear

1999

fDate

1999

Abstract

Epileptic seizures correspond to episodes of increased rhythmicity of the normally chaotic neuronal activity. Using the Henon map as a validation model, the authors demonstrate the chaosmaker´s ability to maintain chaotic activity through episodes of periodic activity. The chaosmaker employs a Radial Basis Function (RBF) model to learn chaotic dynamics from the time series. The strategy is to detect a change to a rhythmic mode, then employ nonlinear dynamics to return to a chaotic mode

Keywords

brain models; chaos; electroencephalography; medical signal processing; time series; EEG analysis; Henon map; chaosmakers; chaotic dynamics learning; periodic activity episodes; radial basis function model; rhythmicity breakers; validation model; Biomedical engineering; Brain; Chaos; Control systems; Detection algorithms; Epilepsy; Iterative algorithms; Nonlinear control systems; Parameter estimation; Trajectory;

fLanguage

English

Publisher

ieee

Conference_Titel

[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint

Conference_Location

Atlanta, GA

ISSN

1094-687X

Print_ISBN

0-7803-5674-8

Type

conf

DOI

10.1109/IEMBS.1999.802483

Filename

802483