完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Chen, Tsan-Jieh | en_US |
dc.contributor.author | Chiueh, Herming | en_US |
dc.contributor.author | Liang, Sheng-Fu | en_US |
dc.contributor.author | Chang, Shun-Ting | en_US |
dc.contributor.author | Jeng, Chi | en_US |
dc.contributor.author | Hsu, Yu-Cheng | en_US |
dc.contributor.author | Chien, Tzu-Chieh | en_US |
dc.date.accessioned | 2019-04-02T05:59:10Z | - |
dc.date.available | 2019-04-02T05:59:10Z | - |
dc.date.issued | 2011-12-01 | en_US |
dc.identifier.issn | 2156-3357 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1109/JETCAS.2011.2174472 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/148734 | - |
dc.description.abstract | Epilepsy 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.iso | en_US | en_US |
dc.subject | Electroencephalogram (EEG) | en_US |
dc.subject | epilepsy | en_US |
dc.subject | reduced instruction set computer (RISC) | en_US |
dc.subject | seizure detection | en_US |
dc.title | The Implementation of a Low-Power Biomedical Signal Processor for Real-Time Epileptic Seizure Detection on Absence Animal Models | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1109/JETCAS.2011.2174472 | en_US |
dc.identifier.journal | IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS | en_US |
dc.citation.volume | 1 | en_US |
dc.citation.spage | 613 | en_US |
dc.citation.epage | 621 | en_US |
dc.contributor.department | 電子工程學系及電子研究所 | zh_TW |
dc.contributor.department | Department of Electronics Engineering and Institute of Electronics | en_US |
dc.identifier.wosnumber | WOS:000208972600018 | en_US |
dc.citation.woscount | 16 | en_US |
顯示於類別: | 期刊論文 |