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Unique estimation in EEG analysis by the ordering ICA
Independent Component Analysis (ICA) is a method for solving blind source separation problems. Because ICA only needs weak assumptions to estimate the unknown sources from only the observed signals, it is suitable for Electroencephalography (EEG) analysis. A serious disadvantage of the traditional I...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9591063/ https://www.ncbi.nlm.nih.gov/pubmed/36279275 http://dx.doi.org/10.1371/journal.pone.0276680 |