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dc.contributor.authorLiang, Sheng-Fuen_US
dc.contributor.authorLiao, Yi-Chengen_US
dc.contributor.authorShaw, Fu-Zenen_US
dc.contributor.authorChang, Da-Weien_US
dc.contributor.authorYoung, Chung-Pingen_US
dc.contributor.authorChiueh, Hermingen_US
dc.date.accessioned2014-12-08T15:43:07Z-
dc.date.available2014-12-08T15:43:07Z-
dc.date.issued2011-08-01en_US
dc.identifier.issn1741-2560en_US
dc.identifier.urihttp://dx.doi.org/10.1088/1741-2560/8/4/045001en_US
dc.identifier.urihttp://hdl.handle.net/11536/29175-
dc.description.abstractIn this paper numerous alternative treatments in addition to pharmacological therapy are proposed for their use in epileptic patients. Epileptic animal models can play a crucial role in the performance evaluation of new therapeutic techniques. The objective of this research is to first develop various epileptic rat models; second, develop a portable wireless closed-loop seizure controller including on-line seizure detection and real-time electrical stimulation for seizure elimination; and third, apply the developed seizure controller to the animal models to perform on-line seizure elimination. The closed-loop seizure controller was applied to three Long-Evans rats with spontaneous spike-wave discharges (non-convulsive) and three Long-Evans rats with epileptiform activities induced by pentylenetetrazol (PTZ) injection (convulsive) for evaluation. The seizure detection accuracy is greater than 92% (up to 99%), and averaged seizure detection latency is less than 0.6 s for both spontaneous non-convulsive and PTZ-induced convulsive seizures. The average false stimulation rate is 3.1%. Near 30% of PTZ-induced convulsive seizures need more than two times of 0.5 s electrical stimulation for suppression and 90% of the non-convulsive seizures can be suppressed by only one 0.5 s electrical stimulation.en_US
dc.language.isoen_USen_US
dc.titleClosed-loop seizure control on epileptic rat modelsen_US
dc.typeArticle; Proceedings Paperen_US
dc.identifier.doi10.1088/1741-2560/8/4/045001en_US
dc.identifier.journalJOURNAL OF NEURAL ENGINEERINGen_US
dc.citation.volume8en_US
dc.citation.issue4en_US
dc.citation.epageen_US
dc.contributor.department電機工程學系zh_TW
dc.contributor.departmentDepartment of Electrical and Computer Engineeringen_US
dc.identifier.wosnumberWOS:000292962800005-
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