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| Presentation | 2013-11-23 10:50 Chaotic properties of the ictal EEG for epilepsy patients Koki Okamoto, Yasukuni Mori (Chiba Univ), Yoichi Saito, Hajime Harada (Research Institute for EEG Analysis), Ikuo Matsuba (Chiba Univ)  MBE2013-72 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Epilepsy is brought on by abnormal electrical wave which occured in the part of the brain. That is one of the most common disorder in the neurological disorders that caused the disturbance of consciousness and the convulsions of part of the body or the whole body. There are the possibilities of a deterministic chatic system in ictal EEG for epilepsy. If that EEG has chaotic system, it can be described by differential equations. In addition, solving these differential equations enable us to predict epileptic seizure and reproduce epileptic seizure on PC. In this study, we target ictal EEG for epilepsy and EEG for healthy person, and discuss chaotic degree and differences by analyzing their attractors, fractaldimensions, and lyapunov exponents. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Epilepsy / Ictal EEG / Time series analysis / Chaos / Attractor / Fractal dimension / Lyapunov exponent / Surrogate | |
| Reference Info. | IEICE Tech. Rep., vol. 113, no. 314, MBE2013-72, pp. 33-38, Nov. 2013. | |
| Paper # | MBE2013-72 | |
| Date of Issue | 2013-11-15 (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 | MBE2013-72 |
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| Conference Information | |
| Committee | NC MBE |
| Conference Date | 2013-11-22 - 2013-11-23 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tohoku University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | BCI/BMI, NC and MBE |
| Paper Information | |
| Registration To | MBE |
| Conference Code | 2013-11-NC-MBE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Chaotic properties of the ictal EEG for epilepsy patients |
| Sub Title (in English) | |
| Keyword(1) | Epilepsy |
| Keyword(2) | Ictal EEG |
| Keyword(3) | Time series analysis |
| Keyword(4) | Chaos |
| Keyword(5) | Attractor |
| Keyword(6) | Fractal dimension |
| Keyword(7) | Lyapunov exponent |
| Keyword(8) | Surrogate |
| 1st Author's Name | Koki Okamoto |
| 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 | 2013-11-23 10:50:00 |
| Presentation Time | 25 minutes |
| Registration for | MBE |
| Paper # | MBE2013-72 |
| Volume (vol) | vol.113 |
| Number (no) | no.314 |
| Page | pp.33-38 |
| #Pages | 6 |
| Date of Issue | 2013-11-15 (MBE) |
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