DocumentCode :
2491327
Title :
Seizure prediction techniques: robustness and performance issues
Author :
Lehnertz, Klaus
Author_Institution :
Dept. of Epileptology, Bonn Univ. Med. Center, Germany
Volume :
3
fYear :
2002
fDate :
23-26 Oct. 2002
Firstpage :
2037
Abstract :
Recent research in the field of seizure prediction has shown that "pre-seizure states" lasting minutes to hours can be detected from analysis of EEG time series. This time frame would allow development and testing of specific seizure prevention techniques. Thus, there is now growing interest to bring these analysis techniques to a broader application. Similar demands come from the industry as there is strong interest to incorporate analysis techniques into EEG acquisition systems and, moreover, to develop miniaturized (implantable) devices for seizure prediction and possibly prevention.
Keywords :
electroencephalography; medical signal processing; time series; EEG acquisition systems; EEG time series analysis; electrodiagnostics; miniaturized implantable devices; preseizure states; seizure prediction techniques; seizure prevention; seizure prevention techniques testing; Brain modeling; Electroencephalography; Epilepsy; Pattern analysis; Pattern recognition; Performance analysis; Robustness; Signal analysis; Testing; Time series analysis;
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.2002.1053155
Filename :
1053155
Link To Document :
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