Presentation | 2013-11-23 Epilepsy model and EEG analysis using the correlation between the ictal EEG channels Shumpei WATANABE, Yasukuni MORI, Yoichi SAITO, Hajime HARADA, Ikuo MATSUBA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In the diagnosis of epilepsy, abnormal EEG signals are detected to grasp the condition of the patient and to decide how to treat epilepsy. Therefore, it is very important to classify EEG signals. However, the seizure of epilepsy varies widely depending on the individual patients, and the mechanism of the seizure of epilepsy is not understood yet. So detailed brain model which can classify EEG of epilepsy is needed in order to analize the mechanism. Although previous research has suggested that a macro neuron model can simulate ictal hippocampus signals, this model is not based on the EEG, and a cellular-based understanding is desirable to seek for brain dynamics. In this study, we propose a cellular-based brain model which can simulate EEG characteristics found in actual epileptic patients. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | epilepsy / ictal EEG / correlation coefficient / Hodgkin-Huxley equation |
Paper # | MBE2013-71 |
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Conference Information | |
Committee | MBE |
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Conference Date | 2013/11/15(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | ME and Bio Cybernetics (MBE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Epilepsy model and EEG analysis using the correlation between the ictal EEG channels |
Sub Title (in English) | |
Keyword(1) | epilepsy |
Keyword(2) | ictal EEG |
Keyword(3) | correlation coefficient |
Keyword(4) | Hodgkin-Huxley equation |
1st Author's Name | Shumpei WATANABE |
1st Author's Affiliation | Graduate School of Advanced Integration Science, Chiba University() |
2nd Author's Name | Yasukuni MORI |
2nd Author's Affiliation | Graduate School of Advanced Integration Science, Chiba University |
3rd Author's Name | Yoichi SAITO |
3rd Author's Affiliation | Research Institute for EEG Analysis |
4th Author's Name | Hajime HARADA |
4th Author's Affiliation | Research Institute for EEG Analysis |
5th Author's Name | Ikuo MATSUBA |
5th Author's Affiliation | Graduate School of Advanced Integration Science, Chiba University |
Date | 2013-11-23 |
Paper # | MBE2013-71 |
Volume (vol) | vol.113 |
Number (no) | 314 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |