Wavelet filterbank‐based EEG rhythm‐specific spatial features for covert speech classification
Abstract The derivation of rhythm‐specific spatial patterns of electroencephalographic (EEG) signals for covert speech EEG classification task is dealt in this work. This study has been performed on a publicly accessible multi‐channel covert speech EEG database consisting of multi‐syllabic words. Wi...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi-IET
2022-02-01
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| Series: | IET Signal Processing |
| Online Access: | https://doi.org/10.1049/sil2.12059 |