EEG Data Preprocessing for Assessing the Degree of Connectivity of Areas of the Human Brain under Resting Conditions and their Application to the Diagnosis of Socially Significant Diseases

Evgeny Zavarzin, Natalya Milakhina, Pavel Rudych, Alexander Savostyanov

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Abstract

For solving regression and time-series data analysis problems, EEG data preprocessing algorithm has been developed. This algorithm includes data unification, signal properties extraction with time-series transformation of single record data to many epochs.

Original languageEnglish
Title of host publication2021 IEEE 22nd International Conference of Young Professionals in Electron Devices and Materials, EDM 2021 - Proceedings
PublisherIEEE Computer Society
Pages582-585
Number of pages4
ISBN (Electronic)9781665414982
DOIs
Publication statusPublished - 30 Jun 2021
Event22nd IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2021 - Aya, Altai Region, Russian Federation
Duration: 30 Jun 20214 Jul 2021

Publication series

NameInternational Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM
Volume2021-June
ISSN (Print)2325-4173
ISSN (Electronic)2325-419X

Conference

Conference22nd IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2021
CountryRussian Federation
CityAya, Altai Region
Period30.06.202104.07.2021

Keywords

  • depression
  • EEG
  • power analysis
  • psychophysiology
  • signal processing

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