A Cross-Correlational Analysis between Electroencephalographic and End-Tidal Carbon Dioxide Signals: Methodological Issues in the Presence of Missing Data and Real Data Results

• Published in: Sensors (Basel, Switzerland) Vol. 16; no. 11; p. 1828
• Main Authors: Morelli, Maria Sole, Giannoni, Alberto, Passino, Claudio, Landini, Luigi, Emdin, Michele, Vanello, Nicola
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 31.10.2016; MDPI
• Subjects: Bayesian analysis; Carbon dioxide; control of breathing; Correlation analysis; cross correlation function; EEG; Electroencephalography; Missing data; missing data segments; Physiology; Reliability analysis; Simulation; missing data segments; cross correlation function; EEG; control of breathing

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...