Abstract
The present study proposes the method of removing head movement artifact for considering real-time processing and improving reliability of EEG under unconstrained measurement. In the proposed method, independent component analysis and high-pass filtering were used with a hybrid accelerometer, which was used for detecting components containing head movement artifact. To evaluate the proposed method, we measured EEG which included the artifact and P300 components. As a result, although EEG amplitude decreased, original P300 waveform appeared clearly. This result indicates that the proposed method is effective for removing head movement artifact while keeping EEG information.
Original language | English |
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Title of host publication | BMEiCON 2015 - 8th Biomedical Engineering International Conference |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781467391580 |
DOIs | |
Publication status | Published - Feb 4 2016 |
Event | 8th Biomedical Engineering International Conference, BMEiCON 2015 - Pattaya, Thailand Duration: Nov 25 2015 → Nov 27 2015 |
Other
Other | 8th Biomedical Engineering International Conference, BMEiCON 2015 |
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Country/Territory | Thailand |
City | Pattaya |
Period | 11/25/15 → 11/27/15 |
All Science Journal Classification (ASJC) codes
- Biomedical Engineering