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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. / Zavarzin, Evgeny; Milakhina, Natalya; Rudych, Pavel и др.

2021 IEEE 22nd International Conference of Young Professionals in Electron Devices and Materials, EDM 2021 - Proceedings. IEEE Computer Society, 2021. стр. 582-585 9507667 (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM; Том 2021-June).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование

Harvard

Zavarzin, E, Milakhina, N, Rudych, P & Savostyanov, A 2021, 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. в 2021 IEEE 22nd International Conference of Young Professionals in Electron Devices and Materials, EDM 2021 - Proceedings., 9507667, International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM, Том. 2021-June, IEEE Computer Society, стр. 582-585, 22nd IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2021, Aya, Altai Region, Российская Федерация, 30.06.2021. https://doi.org/10.1109/EDM52169.2021.9507667

APA

Zavarzin, E., Milakhina, N., Rudych, P., & Savostyanov, A. (2021). 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. в 2021 IEEE 22nd International Conference of Young Professionals in Electron Devices and Materials, EDM 2021 - Proceedings (стр. 582-585). [9507667] (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM; Том 2021-June). IEEE Computer Society. https://doi.org/10.1109/EDM52169.2021.9507667

Vancouver

Zavarzin E, Milakhina N, Rudych P, Savostyanov A. 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. в 2021 IEEE 22nd International Conference of Young Professionals in Electron Devices and Materials, EDM 2021 - Proceedings. IEEE Computer Society. 2021. стр. 582-585. 9507667. (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM). doi: 10.1109/EDM52169.2021.9507667

Author

Zavarzin, Evgeny ; Milakhina, Natalya ; Rudych, Pavel и др. / 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. 2021 IEEE 22nd International Conference of Young Professionals in Electron Devices and Materials, EDM 2021 - Proceedings. IEEE Computer Society, 2021. стр. 582-585 (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM).

BibTeX

@inproceedings{430105a93a9843718902613bbc5878a1,
title = "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",
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.",
keywords = "depression, EEG, power analysis, psychophysiology, signal processing",
author = "Evgeny Zavarzin and Natalya Milakhina and Pavel Rudych and Alexander Savostyanov",
note = "Funding Information: Data collection and data analysis was carried out with the support of the RFBR No.18-29-13027 science grant and ICG SB RAS No.0259-2021-0009 budgetary project Publisher Copyright: {\textcopyright} 2021 IEEE.; 22nd IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2021 ; Conference date: 30-06-2021 Through 04-07-2021",
year = "2021",
month = jun,
day = "30",
doi = "10.1109/EDM52169.2021.9507667",
language = "English",
series = "International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM",
publisher = "IEEE Computer Society",
pages = "582--585",
booktitle = "2021 IEEE 22nd International Conference of Young Professionals in Electron Devices and Materials, EDM 2021 - Proceedings",
address = "United States",

}

RIS

TY - GEN

T1 - 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

AU - Zavarzin, Evgeny

AU - Milakhina, Natalya

AU - Rudych, Pavel

AU - Savostyanov, Alexander

N1 - Funding Information: Data collection and data analysis was carried out with the support of the RFBR No.18-29-13027 science grant and ICG SB RAS No.0259-2021-0009 budgetary project Publisher Copyright: © 2021 IEEE.

PY - 2021/6/30

Y1 - 2021/6/30

N2 - 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.

AB - 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.

KW - depression

KW - EEG

KW - power analysis

KW - psychophysiology

KW - signal processing

UR - http://www.scopus.com/inward/record.url?scp=85113533169&partnerID=8YFLogxK

U2 - 10.1109/EDM52169.2021.9507667

DO - 10.1109/EDM52169.2021.9507667

M3 - Conference contribution

AN - SCOPUS:85113533169

T3 - International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM

SP - 582

EP - 585

BT - 2021 IEEE 22nd International Conference of Young Professionals in Electron Devices and Materials, EDM 2021 - Proceedings

PB - IEEE Computer Society

T2 - 22nd IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2021

Y2 - 30 June 2021 through 4 July 2021

ER -

ID: 34095124