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Common Interferences Removal from Dense Multichannel EEG Using Independent Component Decomposition
To improve the spatial resolution, dense multichannel electroencephalogram with more than 32 leads has gained more and more applications. However, strong common interference will not only conceal the weak components generated from the specific isolated neural source, but also lead to severe spurious...
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| 出版年: | Comput Math Methods Med |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Hindawi
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5994288/ https://ncbi.nlm.nih.gov/pubmed/29977325 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2018/1482874 |
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