Comparison of frequency components of EEG and skin potential (quantitative analysis)

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Abstract

In the experiment, a local EEG (Fp1) and a skin potential (SP) were recorded when anagrams were tested and several test tasks were performed. The main goal was to compare the structure and dynamics of the frequency components of the local EEG and SP based on a quantitative analysis of the obtained data. With the help of frequency analysis, profiles of frequency dynamics of the total EEG and SP, as well as histograms of distributions of their frequency components, were constructed, among which six typical patterns were singled out. In the series with simultaneous registration of EEG and SP, a high positive correlation of their total signals is established (the minimax range is from 0.70 to 0.94). Along with this, in the frequency patterns of the EEG and SP, some differences in the temporal distribution of the frequency components are found with a shift in the difference of the EEG-SP towards negative values. The possible nature of the general properties of the high-frequency dynamics of the EEG and SP is discussed. The obtained data are important, in particular, when interpreting the results of experiments with the simultaneous recording of several psychophysiological indices.

General Information

Keywords: skin potential, electro-encephalogram, biorhythm, frequency analysis

Journal rubric: Psychophysiology

Article type: scientific article

DOI: https://doi.org/10.17759/exppsy.2018110207

For citation: Nazarov A.I. Comparison of frequency components of EEG and skin potential (quantitative analysis). Eksperimental'naâ psihologiâ = Experimental Psychology (Russia), 2018. Vol. 11, no. 2, pp. 95–109. DOI: 10.17759/exppsy.2018110207. (In Russ., аbstr. in Engl.)

References

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Information About the Authors

Anatoly I. Nazarov, PhD in Psychology, Head of the laboratory of experimental psychology, Department of Psychology, FSGN, State University “Dubna”, Dubna, Russia, ORCID: https://orcid.org/0000-0002-5844-0688, e-mail: koval39@inbox.ru

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