Determination of the Inaccuracies of Calculated EEG Indices
Overview
Overview
Authors
Affiliations
Affiliations
Soon will be listed here.
Abstract
The data obtained as a result of an EEG measurement are burdened with inaccuracies related to the measurement process itself and the need to remove recorded disturbances. The article presents an example of how to calculate the Approach-Withdraw Index (EEG-AW) and Memorization Index (MI) indices in such a way that their inaccuracy resulting from the removal of artifacts can be periodically calculated. This inaccuracy is expressed in terms of standard deviation. This allows you to determine the reliability of the obtained conclusions in the context of examining elements in a 2D computer game created in the Unity engine.
References
1.
Raduntz T, Scouten J, Hochmuth O, Meffert B
. EEG artifact elimination by extraction of ICA-component features using image processing algorithms. J Neurosci Methods. 2015; 243:84-93.
DOI: 10.1016/j.jneumeth.2015.01.030.
View
2.
Davidson R
. What does the prefrontal cortex "do" in affect: perspectives on frontal EEG asymmetry research. Biol Psychol. 2004; 67(1-2):219-33.
DOI: 10.1016/j.biopsycho.2004.03.008.
View
3.
Jung T, Makeig S, Humphries C, Lee T, McKeown M, Iragui V
. Removing electroencephalographic artifacts by blind source separation. Psychophysiology. 2000; 37(2):163-78.
View
4.
Summerfield C, Mangels J
. Coherent theta-band EEG activity predicts item-context binding during encoding. Neuroimage. 2005; 24(3):692-703.
DOI: 10.1016/j.neuroimage.2004.09.012.
View
5.
Al-Fahoum A, Al-Fraihat A
. Methods of EEG signal features extraction using linear analysis in frequency and time-frequency domains. ISRN Neurosci. 2014; 2014:730218.
PMC: 4045570.
DOI: 10.1155/2014/730218.
View