| Presentation | 2021-07-05 Epileptic Spike Detection from Electroencephalogram with Self-Attention Mechanism Kosuke Fukumori, Noboru Yoshida, Hidenori Sugano, Madoka Nakajima, Toshihisa Tanaka, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Automated identification of epileptiform discharges for the diagnosis of epilepsy can mitigate the burden of the exhaustive manual search in electroencephalogram (EEG). Recent studies have indicated that a two-step method that consists of detection of candidate waveforms with signal processing and pattern matching followed by machine learning-based classification is effective. However, the overall performance depends on the detector of candidates. This paper thus considers a scenario without candidate waveforms, that is, we propose a recurrent neural network (RNN)-based self-attention model that can be fitted from the EEG segments generated without detecting spike candidates. In comparison with the state-of-the-art machine learning models which can be applied for EEG classification (LightGBM and EEGNet), the proposed model achieved higher performance (average accuracy: 90.2%). This result strongly suggests that the self-attention mechanism is suitable to an automated identification of the epileptiform discharge in the EEG. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | epilepsy / epileptiform discharge / neural networks / electroencephalogram (EEG) |
| Paper # | CAS2021-3,VLD2021-3,SIP2021-13,MSS2021-3 |
| Date of Issue | 2021-06-28 (CAS, VLD, SIP, MSS) |
| Conference Information | |
| Committee | SIP / CAS / VLD / MSS |
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| Conference Date | 2021/7/5(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Yukihiro Bandou(NTT) / Hiroki Sato(Sony LSI Design) / Kazutoshi Kobayashi(Kyoto Inst. of Tech.) / Atsuo Ozaki(Osaka Inst. of Tech.) |
| Vice Chair | Toshihisa Tanaka(Tokyo Univ. Agri.&Tech.) / Takayuki Nakachi(Ryukyu Univ.) / Yoshinobu Maeda(Niigata Univ.) / Minako Ikeda(NTT) / Shingo Yamaguchi(Yamaguchi Univ.) |
| Secretary | Toshihisa Tanaka(Xiaomi) / Takayuki Nakachi(Takushoku Univ.) / Yoshinobu Maeda(Tokyo Univ. Agri.&Tech.) / Minako Ikeda(Sony LSI Design) / Shingo Yamaguchi(NIT, Toyama college) |
| Assistant | Taichi Yoshida(UEC) / Seisuke Kyochi(Univ. of Kitakyushu) / Motoi Yamaguchi(TECHNOPRO) / Yohei Nakamura(Hitachi) / Takahide Sato(Univ. of Yamanashi) / Yasutoshi Aibara(Murata Manufacturing) / / Masato Shirai(Shimane Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Signal Processing / Technical Committee on Circuits and Systems / Technical Committee on VLSI Design Technologies / Technical Committee on Mathematical Systems Science and its Applications |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Epileptic Spike Detection from Electroencephalogram with Self-Attention Mechanism |
| Sub Title (in English) | |
| Keyword(1) | epilepsy |
| Keyword(2) | epileptiform discharge |
| Keyword(3) | neural networks |
| Keyword(4) | 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 | Hidenori Sugano |
| 3rd Author's Affiliation | Juntendo University(Juntendo Univ.) |
| 4th Author's Name | Madoka Nakajima |
| 4th Author's Affiliation | Juntendo University(Juntendo Univ.) |
| 5th Author's Name | Toshihisa Tanaka |
| 5th Author's Affiliation | Tokyo University of Agriculture and Technology(TUAT) |
| Date | 2021-07-05 |
| Paper # | CAS2021-3,VLD2021-3,SIP2021-13,MSS2021-3 |
| Volume (vol) | vol.121 |
| Number (no) | CAS-89,VLD-90,SIP-91,MSS-92 |
| Page | pp.pp.11-15(CAS), pp.11-15(VLD), pp.11-15(SIP), pp.11-15(MSS), |
| #Pages | 5 |
| Date of Issue | 2021-06-28 (CAS, VLD, SIP, MSS) |