Development of the EEG and Genetic Module for the ICBrainDB Experimental Database to Search for Depressive Disorder Markers › Research Explorer

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Development of the EEG and Genetic Module for the ICBrainDB Experimental Database to Search for Depressive Disorder Markers

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

DOI

https://doi.org/10.1109/EDM61683.2024.10615163
Final published version

Kseniya A. Zorina
Fath A.A. Ibrahim
Natalia G. Mishchenko
Artem A. Zozulya
Alexander E. Saprygin
Alexander N. Savostyanov

Original language	English
Title of host publication	International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM
Publisher	IEEE Computer Society
Pages	2180-2183
Number of pages	4
ISBN (Print)	9798350389234
DOIs	https://doi.org/10.1109/EDM61683.2024.10615163
Publication status	Published - 2024
Event	25th IEEE International Conference of Young Professionals in Electron Devices and Materials - Республика Алтай, Russian Federation Duration: 28 Jun 2024 → 2 Jul 2024 Conference number: 25 https://edm.ieeesiberia.org/

Publication series

Name	International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM

Conference

Conference	25th IEEE International Conference of Young Professionals in Electron Devices and Materials
Abbreviated title	EDM 2024
Country/Territory	Russian Federation
Period	28.06.2024 → 02.07.2024
Internet address	https://edm.ieeesiberia.org/

Research areas

depression, event-related potentials (ERPs), open data base, single-nucleotide polymorphism (SNPs), stop-signal paradigm (SSP)

OECD FOS+WOS

3.02.RT CLINICAL NEUROLOGY
1.02 COMPUTER AND INFORMATION SCIENCES

ID: 60545053