Title :
Chaosmakers: rhythmicity breakers
Author :
Courville, Aaron ; Bardakjian, Berj L.
Author_Institution :
Inst. of Biomater. & Biomed. Eng., Toronto Univ., Ont., Canada
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;
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
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.802483