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Super-Resolution for Improving EEG Spatial Resolution using Deep Convolutional Neural Network—Feasibility Study
Electroencephalography (EEG) has relatively poor spatial resolution and may yield incorrect brain dynamics and distort topography; thus, high-density EEG systems are necessary for better analysis. Conventional methods have been proposed to solve these problems, however, they depend on parameters or...
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| Publicado no: | Sensors (Basel) |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6928936/ https://ncbi.nlm.nih.gov/pubmed/31816868 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19235317 |
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