An Optimization of Spatio-Spectral Filter Bank Design for EEG Classification
- https://doi.org/10.2991/jrnal.2016.2.4.3How to use a DOI?
- spatio-spectral filter, EEG, classification, .optimization, mutual information, common spatial filter
How to select the appropriate frequency band to classify EEG signal by motor imagery is discussed in this paper. Our proposal is an improvement of the conventional Bayesian Spatio-Spectral Filter Optimization (BSSFO). Defect of BSSFO is on the way to generate the renewal particle of the filter bank, such a random number generation. To avoid a local optimum, an evolutional update method of particles is introduced. It is shown that performance of the EEG classification ability is improved.
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- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Masanao Obayashi AU - Takuya Geshi AU - Takashi Kuremoto AU - Shingo Mabu PY - 2016 DA - 2016/03/01 TI - An Optimization of Spatio-Spectral Filter Bank Design for EEG Classification JO - Journal of Robotics, Networking and Artificial Life SP - 217 EP - 220 VL - 2 IS - 4 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.2016.2.4.3 DO - https://doi.org/10.2991/jrnal.2016.2.4.3 ID - Obayashi2016 ER -