Title :
A connectionist perspective on detection and control of epileptic seizures
Author :
Bardakjian, Berj L. ; Chiu, A.W.L. ; Courville, Aaron
Author_Institution :
Inst. of Biomaterials & Biomed. Eng., Univ. of Toronto, Ont., Canada
Abstract :
Epileptic seizures correspond to episodes of increased rhythmicity of the normally chaotic electrical activity in biological neural networks (BNNs). A connectionist perspective is presented whereby artificial neural networks (ANNs) are used to learn the chaotic dynamics of the biological neural networks. The ANNs are used to detect a change to a rhythmic mode in the BNNs, then employ nonlinear dynamics to restore the BNNs to their chaotic mode.
Keywords :
biocontrol; chaos; electroencephalography; learning systems; medical expert systems; medical signal detection; neurophysiology; radial basis function networks; artificial neural networks; chaotic dynamics learning; connectionist perspective; electrical activity pattern; epileptic seizures control; epileptic seizures detection; healthy brain; increased rhythmicity; normally chaotic electrical activity; Artificial neural networks; Biological neural networks; Chaos; Chaotic communication; Clocks; Detectors; Epilepsy; Expert systems; Nonlinear dynamical systems; Statistics;
Conference_Titel :
Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint
Print_ISBN :
0-7803-7612-9
DOI :
10.1109/IEMBS.2002.1053147
