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Tracking Non-stationary EEG Sources using Adaptive Online Recursive Independent Component Analysis
Electroencephalographic (EEG) source-level analyses such as independent component analysis (ICA) have uncovered features related to human cognitive functions or artifactual activities. Among these methods, Online Recursive ICA (ORICA) has been shown to achieve fast convergence in decomposing high-de...
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| Опубликовано в: : | Conf Proc IEEE Eng Med Biol Soc |
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| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2015
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5978409/ https://ncbi.nlm.nih.gov/pubmed/26737197 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/EMBC.2015.7319297 |
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