Abstract
This paper introduces a novel method to automatically remove electro-oculogram (EOG) from electroencephalogram (EEG) using second-order blind identification (SOBI) and nonnegative matrix factorization (NMF). To demonstrate the effectiveness of the proposed method, we applied SOBI, NMF, or combined SOBI and NMF (SOBINMF) to the EEG data during motor imagery task in which participants imagined moving their left or right hand. Ocular artifacts were removed more effectively in our proposed SOBINMF method compared to SOBI or NMF alone.
| Original language | English |
|---|---|
| Pages (from-to) | 954-962 |
| Number of pages | 9 |
| Journal | IEEJ Transactions on Electronics, Information and Systems |
| Volume | 135 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - 2015 Aug 1 |
Keywords
- Electro-oculogram artifact
- Electroencephalogram
- Nonnegative matrix factorization
- Second order blind identification
ASJC Scopus subject areas
- Electrical and Electronic Engineering
Fingerprint Dive into the research topics of 'SOBINMF for automatic removal of ocular artifacts from the EEG'. Together they form a unique fingerprint.
Cite this
Tsubakida, H., Ono, Y., & Ishiyama, A. (2015). SOBINMF for automatic removal of ocular artifacts from the EEG. IEEJ Transactions on Electronics, Information and Systems, 135(8), 954-962. https://doi.org/10.1541/ieejeiss.135.954