Title :
Nonlinear EEG analysis in epilepsy: from basic research to clinical applications
Author_Institution :
Dept. of Epileptology, Bonn Univ. Med. Center, Germany
Abstract :
Nonlinear time series analyses of EEG recordings from epilepsy patients provide new insight into the spatio-temporal dynamics of the epileptogenic process. This overview presents a number of applications indicating that nonlinear EEG analysis allows to improve the diagnostics of the dynamical disease epilepsy as well as the understanding of basic mechanisms. Particularly, the definition and detection of a specific state predictive of an impending seizure offers a basis for the development of new therapy concepts for seizure prevention.
Keywords :
electroencephalography; medical signal processing; reviews; time series; basic mechanisms understanding; dynamical disease epilepsy; electrodiagnostics; epileptogenic process; new therapy concepts; seizure prevention; spatio-temporal dynamics; specific state predictive; Character generation; Drugs; Electric variables measurement; Electroencephalography; Epilepsy; Medical treatment; Neuroimaging; Particle measurements; Surgery; Time series analysis;
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.2002.1134353
