2020
DOI: 10.3390/s20195715
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Determination of the Inaccuracies of Calculated EEG Indices

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 th… Show more

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Cited by 2 publications
(1 citation statement)
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“…The next step was to determine the individual alpha frequency (IAF) [131], which was the basis for the determination of the frequency range θ. To determine the IAF continuous wavelet transformation, the Morse wavelet family was used [132]. In the frequency range (7.5-12.5 Hz) of the wavelet transformation spectrum, the IAF frequency was calculated using the weighted average, where the weights for frequencies were determined as the ratio of the energy of a given frequency component to the energy of the entire frequency band (7.5-12.5 Hz).…”
Section: Registration and Processing Of Neurophysiological Datamentioning
confidence: 99%
“…The next step was to determine the individual alpha frequency (IAF) [131], which was the basis for the determination of the frequency range θ. To determine the IAF continuous wavelet transformation, the Morse wavelet family was used [132]. In the frequency range (7.5-12.5 Hz) of the wavelet transformation spectrum, the IAF frequency was calculated using the weighted average, where the weights for frequencies were determined as the ratio of the energy of a given frequency component to the energy of the entire frequency band (7.5-12.5 Hz).…”
Section: Registration and Processing Of Neurophysiological Datamentioning
confidence: 99%