Загрузка...
Improved EOG Artifact Removal Using Wavelet Enhanced Independent Component Analysis
Electroencephalography (EEG) signals are frequently contaminated with unwanted electrooculographic (EOG) artifacts. Blinks and eye movements generate large amplitude peaks that corrupt EEG measurements. Independent component analysis (ICA) has been used extensively in manual and automatic methods to...
Сохранить в:
| Опубликовано в: : | Brain Sci |
|---|---|
| Главные авторы: | , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI
2019
|
| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6956025/ https://ncbi.nlm.nih.gov/pubmed/31817120 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/brainsci9120355 |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|