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Robust detrending, rereferencing, outlier detection, and inpainting for multichannel data
Electroencephalography (EEG), magnetoencephalography (MEG) and related techniques are prone to glitches, slow drift, steps, etc., that contaminate the data and interfere with the analysis and interpretation. These artifacts are usually addressed in a preprocessing phase that attempts to remove them...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Academic Press
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5915520/ https://www.ncbi.nlm.nih.gov/pubmed/29448077 http://dx.doi.org/10.1016/j.neuroimage.2018.01.035 |