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Ballistocardiogram artifact reduction in simultaneous EEG-fMRI using deep learning
OBJECTIVE: The concurrent recording of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) is a technique that has received much attention due to its potential for combined high temporal and spatial resolution. However, the ballistocardiogram (BCG), a large-amplitude artifa...
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| 出版年: | IEEE Trans Biomed Eng |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7808341/ https://ncbi.nlm.nih.gov/pubmed/32746037 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TBME.2020.3004548 |
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