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| Presentation | 2012-03-15 16:00 The feature of ictal EEG and Time series analysis Sami Abdureyim, Yasukuni Mori (Chiba Univ), Yoichi Saito, Hajime Harada (Research Institute for EEG Analysis), Ikuo Matsuba (Chiba Univ)  MBE2011-133 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Seizure of the epilepsy varies widely depending on the individual patients． In this research, in orderto study the mechanism of the seizure of the epilepsy, freak waves (or spice) in the electroencephalogram (EEG) of hippocammus is mainly investigated． As an example of previous research works, although a comparative neuron model for the epilepsy seizure simulation model and actual measurement value for hippocampus is already intensively studied, the corresponding mechanism for a concern of whether the neuron circuit model can be applied for a small scale regularly measurement of EEG not clearly understand yet． Hence, the present paper aims to propose and construct a micro model for re-observing the characteristics of ictal EEG． From the observatory data of epilepsy patients, focusing on the information of before and after the ictal EEG, an applicablility for an auto-regression model the characteristics of ictal EEG is studied． |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Epilepsy / autoregression model / stable distribution / ictal EEG / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 111, no. 482, MBE2011-133, pp. 139-143, March 2012. | |
| Paper # | MBE2011-133 | |
| Date of Issue | 2012-03-07 (MBE) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | MBE2011-133 |
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| Conference Information | |
| Committee | MBE NC |
| Conference Date | 2012-03-14 - 2012-03-16 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tamagawa University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | MBE |
| Conference Code | 2012-03-MBE-NC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | The feature of ictal EEG and Time series analysis |
| Sub Title (in English) | |
| Keyword(1) | Epilepsy |
| Keyword(2) | autoregression model |
| Keyword(3) | stable distribution |
| Keyword(4) | ictal EEG |
| Keyword(5) | |
| Keyword(6) | |
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| Keyword(8) | |
| 1st Author's Name | Sami Abdureyim |
| 1st Author's Affiliation | Chiba University (Chiba Univ) |
| 2nd Author's Name | Yasukuni Mori |
| 2nd Author's Affiliation | Chiba University (Chiba Univ) |
| 3rd Author's Name | Yoichi Saito |
| 3rd Author's Affiliation | Research Institute for EEG Analysis (Research Institute for EEG Analysis) |
| 4th Author's Name | Hajime Harada |
| 4th Author's Affiliation | Research Institute for EEG Analysis (Research Institute for EEG Analysis) |
| 5th Author's Name | Ikuo Matsuba |
| 5th Author's Affiliation | Chiba University (Chiba Univ) |
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| Speaker | Author-1 |
| Date Time | 2012-03-15 16:00:00 |
| Presentation Time | 25 minutes |
| Registration for | MBE |
| Paper # | MBE2011-133 |
| Volume (vol) | vol.111 |
| Number (no) | no.482 |
| Page | pp.139-143 |
| #Pages | 5 |
| Date of Issue | 2012-03-07 (MBE) |
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