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dc.contributor.authorChen, Tsan-Jiehen_US
dc.contributor.authorChiueh, Hermingen_US
dc.contributor.authorLiang, Sheng-Fuen_US
dc.contributor.authorChang, Shun-Tingen_US
dc.contributor.authorJeng, Chien_US
dc.contributor.authorHsu, Yu-Chengen_US
dc.contributor.authorChien, Tzu-Chiehen_US
dc.date.accessioned2019-04-02T05:59:10Z-
dc.date.available2019-04-02T05:59:10Z-
dc.date.issued2011-12-01en_US
dc.identifier.issn2156-3357en_US
dc.identifier.urihttp://dx.doi.org/10.1109/JETCAS.2011.2174472en_US
dc.identifier.urihttp://hdl.handle.net/11536/148734-
dc.description.abstractEpilepsy is one of the most common neurological disorders, with a worldwide prevalence of approximately 1%. A considerable portion of epilepsy patients cannot be treated sufficiently by today's available therapies. Implantable closed-loop neurostimulation is an innovative and effective method for seizure control. A real-time seizure detector is the kernel of a closed-loop seizure controller. In this paper, a low-power biomedical signal processor based on reduced instruction set computer (RISC) architecture for real-time seizure detection is implemented to achieve low-power consumption and perform continuous and real-time processing. The low-power processor is implemented in a 0.18 mu m complementary-metal-oxide semiconductor technology to verify functionality and capability. The measurement results show the implemented processor can reduce over 90% power consumption compared with our previous prototype, which was implemented on an enhanced 8051 microprocessor. This seizure detector was applied to the continuous EEG signals of four Long-Evans rats with spontaneous absence seizures. It also processed 24 h long-term and uninterrupted EEG sequence. The developed seizure detector can be applied for online seizure monitoring and integrated with an electrical stimulator to perform a closed-loop seizure controller in the future.en_US
dc.language.isoen_USen_US
dc.subjectElectroencephalogram (EEG)en_US
dc.subjectepilepsyen_US
dc.subjectreduced instruction set computer (RISC)en_US
dc.subjectseizure detectionen_US
dc.titleThe Implementation of a Low-Power Biomedical Signal Processor for Real-Time Epileptic Seizure Detection on Absence Animal Modelsen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/JETCAS.2011.2174472en_US
dc.identifier.journalIEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMSen_US
dc.citation.volume1en_US
dc.citation.spage613en_US
dc.citation.epage621en_US
dc.contributor.department電子工程學系及電子研究所zh_TW
dc.contributor.departmentDepartment of Electronics Engineering and Institute of Electronicsen_US
dc.identifier.wosnumberWOS:000208972600018en_US
dc.citation.woscount16en_US
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