Comparison of the EDA and EEG frequency components (qualitative analysis)

The author recorded galvanic skin response (GSR, Feret method), skin potential (SP, Tarkhanov method) and local frontal encephalogram (Fp1). GSR was recorded with an amplifier bandwidth of 0.05-1 Hz, SP and EEG amplified with biopotential broadband amplifiers in the range 0.05-300 Hz. SP...

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Main Author: A.I. Nazarov
Format: Article
Language:Russian
Published: Moscow State University of Psychology and Education 2017-01-01
Series:Экспериментальная психология
Online Access:https://psyjournals.ru/en/exp/2017/n2/Nazarov.shtml
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author A.I. Nazarov
author_facet A.I. Nazarov
author_sort A.I. Nazarov
collection DOAJ
description The author recorded galvanic skin response (GSR, Feret method), skin potential (SP, Tarkhanov method) and local frontal encephalogram (Fp1). GSR was recorded with an amplifier bandwidth of 0.05-1 Hz, SP and EEG amplified with biopotential broadband amplifiers in the range 0.05-300 Hz. SP and local EEG signals were processed by the same algorithm. We obtained profiles of SP and EEG containing topologically similar low (LF) and high frequency (HF) components in the range of 0.05-45 Hz. LF-components of SP and EEG in some subjects were identical (in phase) of the GSR, in other subjects they were antiphased, in still others both types were observed. High-frequency components of SP contained rhythms, similar to EEG rhythms (Delta, Theta, Alpha, Beta, Gamma). However, frequency analysis showed that SP rhythms differ from local EEG rhythms in power and frequency distribution. The findings are discussed in the context of the nature of biorhythms.
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spelling doaj.art-4d9663fbb296447cb09e00839adb6d272022-12-22T04:19:09ZrusMoscow State University of Psychology and EducationЭкспериментальная психология2072-75932311-70362017-01-0110210411310.17759/exppsy.2017100209Comparison of the EDA and EEG frequency components (qualitative analysis)A.I. Nazarov0https://orcid.org/0000-0002-5844-0688State University “Dubna” The author recorded galvanic skin response (GSR, Feret method), skin potential (SP, Tarkhanov method) and local frontal encephalogram (Fp1). GSR was recorded with an amplifier bandwidth of 0.05-1 Hz, SP and EEG amplified with biopotential broadband amplifiers in the range 0.05-300 Hz. SP and local EEG signals were processed by the same algorithm. We obtained profiles of SP and EEG containing topologically similar low (LF) and high frequency (HF) components in the range of 0.05-45 Hz. LF-components of SP and EEG in some subjects were identical (in phase) of the GSR, in other subjects they were antiphased, in still others both types were observed. High-frequency components of SP contained rhythms, similar to EEG rhythms (Delta, Theta, Alpha, Beta, Gamma). However, frequency analysis showed that SP rhythms differ from local EEG rhythms in power and frequency distribution. The findings are discussed in the context of the nature of biorhythms.https://psyjournals.ru/en/exp/2017/n2/Nazarov.shtml
spellingShingle A.I. Nazarov
Comparison of the EDA and EEG frequency components (qualitative analysis)
Экспериментальная психология
title Comparison of the EDA and EEG frequency components (qualitative analysis)
title_full Comparison of the EDA and EEG frequency components (qualitative analysis)
title_fullStr Comparison of the EDA and EEG frequency components (qualitative analysis)
title_full_unstemmed Comparison of the EDA and EEG frequency components (qualitative analysis)
title_short Comparison of the EDA and EEG frequency components (qualitative analysis)
title_sort comparison of the eda and eeg frequency components qualitative analysis
url https://psyjournals.ru/en/exp/2017/n2/Nazarov.shtml
work_keys_str_mv AT ainazarov comparisonoftheedaandeegfrequencycomponentsqualitativeanalysis