An effective feature extraction method by power spectral density of EEG signal for 2-class motor imagery-based BCI.
EEG signals have weak intensity, low signal-to-noise ratio, non-stationary, non-linear, time-frequency-spatial characteristics. Therefore, it is important to extract adaptive and robust features that reflect time, frequency and spatial characteristics. This paper proposes an effective feature extrac...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 56; no. 9; pp. 1645 - 1659 |
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| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Sep2018
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| Acceso en línea: | Ver este registro en EBSCOhost |