| Presentation | 2023-01-17 Removal of an artifact by transcutaneous auricular vagus nerve stimulation from electroencephalogram using automatic detection and modeling of the artifact Ilham Rais, Tomohiko Igasaki, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Transcutaneous auricular vagus nerve stimulation (taVNS) is a non-invasive form of stimulation that has potential therapeutic benefits and is used to treat drug-resistant epilepsy and depression. Electroencephalogram (EEG) recordings can be used to detect the effects of taVNS on brain activity and behavior. However, taVNS can also interfere with EEG recordings as an artifact, affecting the analysis of EEG signals. This research proposes a method for removing the taVNS artifact from EEG recordings using an automatic detection algorithm that identifies the QRS complex (imitation of electrocardiogram and corresponding to stimulation onset, peak, and offset, respectively) of the taVNS artifact and remodels the stimulation for each EEG channel by identifying the QRS of the taVNS artifact and remodeling the stimulation to each EEG channel by subtracting the EEG signal with the resulting stimulation model. We found that the taVNS artifact can be easily detected by adding a stimulation reference electrode near the stimulation device. The artifact can be removed by creating a model based on the mean signal of the EEG channels. The resulting artifact removal shows no visible artifact in the time and frequency domain. Other artifacts, such as the cardiac artifact, are still visible in the resulting signal. We believe that the removed taVNS artifact and the presence of the cardiac artifact demonstrate the effectiveness and specificity of the proposed method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | electroencephalogram / agus nerve stimulation / automatic stimulation detection / stimulation modeling / artifact removal |
| Paper # | MICT2022-50,MBE2022-50 |
| 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) | Removal of an artifact by transcutaneous auricular vagus nerve stimulation from electroencephalogram using automatic detection and modeling of the artifact |
| Sub Title (in English) | |
| Keyword(1) | electroencephalogram |
| Keyword(2) | agus nerve stimulation |
| Keyword(3) | automatic stimulation detection |
| Keyword(4) | stimulation modeling |
| Keyword(5) | artifact removal |
| 1st Author's Name | Ilham Rais |
| 1st Author's Affiliation | Kumamoto University(Kumamoto Univ.) |
| 2nd Author's Name | Tomohiko Igasaki |
| 2nd Author's Affiliation | Kumamoto University(Kumamoto Univ.) |
| Date | 2023-01-17 |
| Paper # | MICT2022-50,MBE2022-50 |
| Volume (vol) | vol.122 |
| Number (no) | MICT-334,MBE-335 |
| Page | pp.pp.31-35(MICT), pp.31-35(MBE), |
| #Pages | 5 |
| Date of Issue | 2023-01-10 (MICT, MBE) |