DocumentCode
2491225
Title
The use of chaos control techniques to manipulate epileptiform bursting in rat hippocampus
Author
Mogul, D.J. ; Slutzky, M.W.
Author_Institution
Pritzker Inst. of Med. Eng., Illinois Inst. of Technol., Chicago, IL, USA
Volume
3
fYear
2002
fDate
23-26 Oct. 2002
Firstpage
2023
Abstract
Epilepsy afflicts between 1-2% of the world´s population, yet many epileptic patients are not sufficiently helped by current pharmacological therapies. For these patients in whom the seizures are severe or frequent enough, surgical ablation of brain tissue is commonly performed to reduce or eliminate seizures. Recent reports have suggested that chaos control techniques may be useful for electrically manipulating epileptiform bursting behavior thereby obviating the need in some cases for difficult and potentially damaging surgery. We implemented chaos control of spontaneous bursting in the rat hippocampal slice using robust control techniques. We employed the stable manifold placement (SNIP) method in which the system state is manipulated onto the stable manifold by exogenous stimulation. This then permits the bursting to evolve towards the attractor using the natural system dynamics to maintain approximate periodic bursting. An adaptive tracking algorithm was applied to overcome nonstationarity in system characteristics. Adaptive tracking improved control efficacy over basic SMP control. Thus, it may be feasible to use chaos control techniques to manipulate the aberrant neuronal electrical activity characteristic of epilepsy.
Keywords
adaptive signal processing; chaos; diseases; electroencephalography; medical control systems; neurophysiology; patient treatment; aberrant neuronal electrical activity; adaptive tracking algorithm; chaos control techniques; difficult potentially damaging surgery; epilepsy; epileptiform bursting manipulation; exogenous stimulation; natural system dynamics; pharmacological therapies; rat hippocampal slice; rat hippocampus; spontaneous bursting; stable manifold placement method; Adaptive control; Biomedical engineering; Chaos; Control systems; Electroencephalography; Epilepsy; Hippocampus; In vitro; Programmable control; Surgery;
fLanguage
English
Publisher
ieee
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
ISSN
1094-687X
Print_ISBN
0-7803-7612-9
Type
conf
DOI
10.1109/IEMBS.2002.1053148
Filename
1053148
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