Removal of EOG artifacts and separation of different cerebral activity components from single channel EEG—An efficient approach combining SSA–ICA with wavelet thresholding for BCI applications
Research article (Biomedical Signal Processing and Control, 2020) · cited 59× · AI/ML
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Removal of EOG artifacts and separation of different cerebral activity components from single channel EEG—An efficient approach combining SSA–ICA with wavelet thresholding for BCI applications
Summary
Removal of EOG artifacts and separation of different cerebral activity components from single channel EEG—An efficient approach combining SSA–ICA with wavelet thresholding for BCI applications is a scholarly article[1].
Key Facts
- Removal of EOG artifacts and separation of different cerebral activity components from single channel EEG—An efficient approach combining SSA–ICA with wavelet thresholding for BCI applications's An efficient approach combining SSA–ICA with wavelet thresholding for BCI applications — instance of is recorded as scholarly article[2].