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...

Descripción completa

Detalles Bibliográficos
Autores principales: Morelli, Maria Sole, Giannoni, Alberto, Passino, Claudio, Landini, Luigi, Emdin, Michele, Vanello, Nicola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5134487/
https://www.ncbi.nlm.nih.gov/pubmed/27809243
http://dx.doi.org/10.3390/s16111828

Ejemplares similares