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The ICLabel dataset of electroencephalographic (EEG) independent component (IC) features
The ICLabel dataset is comprised of training and test sets of a set of spatiotemporal features of electroencephalographic (EEG) independent components (IC). The ICLabel training set feature sets were computed for over 200,000 EEG ICs from more than 6,000 existing EEG recordings. More than 8,000 of t...
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| 出版年: | Data Brief |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Elsevier
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6595408/ https://ncbi.nlm.nih.gov/pubmed/31294058 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.dib.2019.104101 |
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