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A Cross-Correlational Analysis between Electroencephalographic and End-Tidal Carbon Dioxide Signals: Methodological Issues in the Presence of Missing Data and Real Data Results
Electroencephalographic (EEG) irreducible artifacts are common and the removal of corrupted segments from the analysis may be required. The present study aims at exploring the effects of different EEG Missing Data Segment (MDS) distributions on cross-correlation analysis, involving EEG and physiolog...
Autores principales: | Morelli, Maria Sole, Giannoni, Alberto, Passino, Claudio, Landini, Luigi, Emdin, Michele, Vanello, Nicola |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5134487/ https://www.ncbi.nlm.nih.gov/pubmed/27809243 http://dx.doi.org/10.3390/s16111828 |
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