| Presentation | 2023-01-17 Improving EOG components removal from EEG signals using independent component analysis, band power, and Pearson correlation coefficient Baijun Song, Aoi Takahi, Tomohiko Igasaki, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Eye movements are an important source of electroencephalogram (EEG) artifacts. Independent component analysis (ICA) is commonly used to detect and remove electrooculogram (EOG) components to recover EEG signals. In this study, we proposed an improved method to remove EOG components using band power and Pearson correlation coefficient (PCC). First, the band power of each independent component between 1 and 2 Hz was extracted by fast Fourier transform (FFT). As a result, a threshold value of 10? μV? was set, and components with band power higher than the threshold value were considered EOG components. Then, the PCC values of each independent component were obtained by calculating the PCC values between EEG channels after removing each independent component in descending order of band power. As a result, the contribution of each independent component to each channel could be measured, and the EOG components to be removed could be estimated appropriately based on the PCC values. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | electroencephalogram / electrooculogram / independent component analysis / band power / Pearson correlation coefficient / fast Fourier transform |
| Paper # | MICT2022-51,MBE2022-51 |
| Date of Issue | 2023-01-10 (MICT, MBE) |
| Conference Information | |
| Committee | MBE / MICT / IEE-MBE |
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| Conference Date | 2023/1/17(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Junichi Hori(Niigata Univ.) / Hirokazu Tanaka(Hiroshima City Univ.) |
| Vice Chair | Hisashi Yoshida(Kinki Univ.) / Chika Sugimoto(Yokohama National Univ.) / Daisuke Anzai(Nagoya Inst. of Tech.) |
| Secretary | Hisashi Yoshida(Setsunan Univ) / Chika Sugimoto(Tohoku Inst. of Tech.) / Daisuke Anzai(Okayama Pref. Univ.) / (Junshin Gakuen Univ.) |
| Assistant | Emi Yuda(Tohoku Univ) / Miki Kaneko(Osaka Univ.) / Takahiro Ito(Hiroshima City Univ) / Natsuki Nakayama(Nagoya Univ.) / Takuya Nishikawa(National Cerebral and Cardiovascular Center Hospital) |
| Paper Information | |
| Registration To | Technical Committee on ME and Bio Cybernetics / Technical Committee on Healthcare and Medical Information Communication Technology / The Technical Committee on Medical and Biological Engineering |
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| Language | ENG-JTITLE |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Improving EOG components removal from EEG signals using independent component analysis, band power, and Pearson correlation coefficient |
| Sub Title (in English) | |
| Keyword(1) | electroencephalogram |
| Keyword(2) | electrooculogram |
| Keyword(3) | independent component analysis |
| Keyword(4) | band power |
| Keyword(5) | Pearson correlation coefficient |
| Keyword(6) | fast Fourier transform |
| 1st Author's Name | Baijun Song |
| 1st Author's Affiliation | Kumamoto University(Kumamoto Univ.) |
| 2nd Author's Name | Aoi Takahi |
| 2nd Author's Affiliation | Kumamoto University(Kumamoto Univ.) |
| 3rd Author's Name | Tomohiko Igasaki |
| 3rd Author's Affiliation | Kumamoto University(Kumamoto Univ.) |
| Date | 2023-01-17 |
| Paper # | MICT2022-51,MBE2022-51 |
| Volume (vol) | vol.122 |
| Number (no) | MICT-334,MBE-335 |
| Page | pp.pp.36-39(MICT), pp.36-39(MBE), |
| #Pages | 4 |
| Date of Issue | 2023-01-10 (MICT, MBE) |