| Presentation | 2022-01-20 A Study on Automatic Detection of Sleep Spindle Waves Using BiLSTM Mitsuki Miyazoe, Takahiro Natori, Mitsuo Hayashi, Naoyuki Aikawa, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The detection of the appearance of sleep spindle waves is important for clarifying the detailed relationship between the quality and length of naps. In the past, LSTM was used as a regression analysis method to detect sleep spindle waves, but there were problems such as the need to manually determine the threshold value when detecting sleep spindle waves. In this paper, we propose a method for automatic detection of sleep spindle waves using BiLSTM. The proposed method automatically detects the sleep spindle waves by constructing a softmax layer and a classification output layer in the output layer of BiLSTM. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Deep Learning / BiLSTM / EEG / sleep spindle / time-domain analysis |
| Paper # | CAS2021-52,ICTSSL2021-29 |
| Date of Issue | 2022-01-13 (CAS, ICTSSL) |
| Conference Information | |
| Committee | ICTSSL / CAS |
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| Conference Date | 2022/1/20(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Koichi Gyoda(Shibaura Inst. of Tech.) / Hiroki Sato(Sony LSI Design) |
| Vice Chair | Munenari Inoguchi(Toyama Univ.) / Tomotaka Wada(Kansai Univ.) / Yoshinobu Maeda(Niigata Univ.) |
| Secretary | Munenari Inoguchi(Synspective) / Tomotaka Wada(Hiroshima City Univ.) / Yoshinobu Maeda(Sony LSI Design) |
| Assistant | Shunichi Yokoyama(Shinshu Univ.) / Motoi Yamaguchi(TECHNOPRO) / Yohei Nakamura(Hitachi) / Takahide Sato(Univ. of Yamanashi) / Yasutoshi Aibara(Murata Manufacturing) |
| Paper Information | |
| Registration To | Technical Committee on Information and Communication Technologies for Safe and Secure Life / Technical Committee on Circuits and Systems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Automatic Detection of Sleep Spindle Waves Using BiLSTM |
| Sub Title (in English) | |
| Keyword(1) | Deep Learning |
| Keyword(2) | BiLSTM |
| Keyword(3) | EEG |
| Keyword(4) | sleep spindle |
| Keyword(5) | time-domain analysis |
| 1st Author's Name | Mitsuki Miyazoe |
| 1st Author's Affiliation | Tokyo University Of Science(Tokyo Univ Of Science) |
| 2nd Author's Name | Takahiro Natori |
| 2nd Author's Affiliation | Tokyo University Of Science(Tokyo Univ Of Science) |
| 3rd Author's Name | Mitsuo Hayashi |
| 3rd Author's Affiliation | Hiroshima University(Hiroshima Univ.) |
| 4th Author's Name | Naoyuki Aikawa |
| 4th Author's Affiliation | Tokyo University Of Science(Tokyo Univ Of Science) |
| Date | 2022-01-20 |
| Paper # | CAS2021-52,ICTSSL2021-29 |
| Volume (vol) | vol.121 |
| Number (no) | CAS-325,ICTSSL-326 |
| Page | pp.pp.6-9(CAS), pp.6-9(ICTSSL), |
| #Pages | 4 |
| Date of Issue | 2022-01-13 (CAS, ICTSSL) |