| Presentation | 2019-03-15 [Poster Presentation] Epileptic Spike Detection and Identification of Effective Frequency Band with Neural Networks Kosuke Fukumori, Noboru Yoshida, Toshihisa Tanaka, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Epilepsy is a complex neurological disorder and can lead to an adverse impact on an individual's cognitive functions. In diagnosis epilepsy, paroxysmal spikes are frequently recorded in the electroencephalogram (EEG) of epileptic patients. Recently, several methods for automatic spike detection have gradually raised in popularity and usage. As a typical method, machine learning models are used with discrete wavelet transform or a bank of filters as the preprocessor. In this study, we propose a method for identifying the frequency band of interest from the target EEG using a convolutional neural network. With the verification experiment, a traditional preprocessing method and the proposed method are compared. As a result, the proposed method achieves almost comparable performance to that achieved in the traditional preprocessing. Moreover, the filters of the proposed method emphasize the lower frequency band (approximately 8--16 Hz). |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | epilepsy / spike detection / data-driven / neural networks / electroencephalogram (EEG) |
| Paper # | EA2018-139,SIP2018-145,SP2018-101 |
| Date of Issue | 2019-03-07 (EA, SIP, SP) |
| Conference Information | |
| Committee | EA / SIP / SP |
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| Conference Date | 2019/3/14(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | i+Land nagasaki (Nagasaki-shi) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Engineering/Electro Acoustics, Signal Processing, Speech, and Related Topics |
| Chair | Suehiro Shimauchi(Kanazawa Inst. of Tech.) / Shogo Muramatsu(Niigata Univ.) / Yoichi Yamashita(Ritsumeikan Univ.) |
| Vice Chair | Kenichi Furuya(Oita Univ.) / Kanji Watanabe(Akita Pref. Univ.) / Naoyuki Aikawa(TUS) / Kazunori Hayashi(Osaka City Univ) / Akinobu Ri(Nagoya Inst. of Tech.) |
| Secretary | Kenichi Furuya(Shizuoka Inst. of Science and Tech.) / Kanji Watanabe(NHK) / Naoyuki Aikawa(Takushoku Univ.) / Kazunori Hayashi(Hiroshima Univ.) / Akinobu Ri(Kyoto Univ.) |
| Assistant | Keisuke Imoto(Ritsumeikan Univ.) / Daisuke Morikawa(Toyama Pref Univ.) / Katsumi Konishi(Hosei Univ.) / hyihsin(Takushoku Univ.) / Tomoki Koriyama(Tokyo Inst. of Tech.) / Satoshi Kobashikawa(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Engineering Acoustics / Technical Committee on Signal Processing / Technical Committee on Speech |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Poster Presentation] Epileptic Spike Detection and Identification of Effective Frequency Band with Neural Networks |
| Sub Title (in English) | |
| Keyword(1) | epilepsy |
| Keyword(2) | spike detection |
| Keyword(3) | data-driven |
| Keyword(4) | neural networks |
| Keyword(5) | electroencephalogram (EEG) |
| 1st Author's Name | Kosuke Fukumori |
| 1st Author's Affiliation | Tokyo University of Agriculture and Technology(TUAT) |
| 2nd Author's Name | Noboru Yoshida |
| 2nd Author's Affiliation | Juntendo University Nerima Hospital(Juntendo Univ.) |
| 3rd Author's Name | Toshihisa Tanaka |
| 3rd Author's Affiliation | Tokyo University of Agriculture and Technology(TUAT) |
| Date | 2019-03-15 |
| Paper # | EA2018-139,SIP2018-145,SP2018-101 |
| Volume (vol) | vol.118 |
| Number (no) | EA-495,SIP-496,SP-497 |
| Page | pp.pp.233-235(EA), pp.233-235(SIP), pp.233-235(SP), |
| #Pages | 3 |
| Date of Issue | 2019-03-07 (EA, SIP, SP) |