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Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis
Detecting artifacts produced in EEG data by muscle activity, eye blinks and electrical noise is a common and important problem in EEG research. It is now widely accepted that independent component analysis (ICA) may be a useful tool for isolating artifacts and/or cortical processes from electroencep...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2006
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2895624/ https://ncbi.nlm.nih.gov/pubmed/17188898 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2006.11.004 |
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