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

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...

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Bibliographic Details
Main Authors: Maria Sole Morelli, Alberto Giannoni, Claudio Passino, Luigi Landini, Michele Emdin, Nicola Vanello
Format: Article
Language:English
Published: MDPI AG 2016-10-01
Series:Sensors
Subjects:
EEG
missing data segments
cross correlation function
control of breathing
Online Access:http://www.mdpi.com/1424-8220/16/11/1828

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