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Theoretical Substantiations Of Registration And Analysis Of EEG To Increase The Reliability Of Neurofeedback Training (NFT). / Bazanova, Olga; Nikolenko, Ekaterina; Zakharov, Alexander et al.

Proceedings - 2024 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2024. Institute of Electrical and Electronics Engineers Inc., 2024. p. 143-146 (Proceedings - 2024 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2024).

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

Harvard

Bazanova, O, Nikolenko, E, Zakharov, A & Maryanovsaya, T 2024, Theoretical Substantiations Of Registration And Analysis Of EEG To Increase The Reliability Of Neurofeedback Training (NFT). in Proceedings - 2024 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2024. Proceedings - 2024 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2024, Institute of Electrical and Electronics Engineers Inc., pp. 143-146, 2024 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, Екатеринбург, Russian Federation, 13.05.2024. https://doi.org/10.1109/USBEREIT61901.2024.10584063

APA

Bazanova, O., Nikolenko, E., Zakharov, A., & Maryanovsaya, T. (2024). Theoretical Substantiations Of Registration And Analysis Of EEG To Increase The Reliability Of Neurofeedback Training (NFT). In Proceedings - 2024 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2024 (pp. 143-146). (Proceedings - 2024 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2024). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/USBEREIT61901.2024.10584063

Vancouver

Bazanova O, Nikolenko E, Zakharov A, Maryanovsaya T. Theoretical Substantiations Of Registration And Analysis Of EEG To Increase The Reliability Of Neurofeedback Training (NFT). In Proceedings - 2024 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2024. Institute of Electrical and Electronics Engineers Inc. 2024. p. 143-146. (Proceedings - 2024 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2024). doi: 10.1109/USBEREIT61901.2024.10584063

Author

Bazanova, Olga ; Nikolenko, Ekaterina ; Zakharov, Alexander et al. / Theoretical Substantiations Of Registration And Analysis Of EEG To Increase The Reliability Of Neurofeedback Training (NFT). Proceedings - 2024 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2024. Institute of Electrical and Electronics Engineers Inc., 2024. pp. 143-146 (Proceedings - 2024 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2024).

BibTeX

@inproceedings{e819a7f80db04ca0b1b7bc015f66d1bb,
title = "Theoretical Substantiations Of Registration And Analysis Of EEG To Increase The Reliability Of Neurofeedback Training (NFT)",
abstract = "This paper presents a review of literature data and our own results of the study of the factors of the procedure of EEG recording and analysis that affect the personalization and, consequently, the effectiveness of neurofeedback training (NFT). Here will be discussed localization and montage of electrodes, environmental factors such as: the time of day, body position, visual condition, duration, and sequence of closed and open eye trials during EEG recording. As feedback it is supposed to use EEG indices established individually on the basis of analysis of endophenotypic index of alpha peak frequency and neuronal activation. In this article, based on an analysis of the literature and our own results, the procedure and sequence of EEG recording and analysis, which are supposed to be carried out before and after self-control training using Neurofeedback will be presented. A rationale for each step will be given from the point of view of how this or that issue can influence the personalization and consequently, effectiveness of self-regulation training with neurofeedback to optimize its own individual neural efficiency.",
keywords = "electroencephalography, index of alpha peak frequency, neurofeedback",
author = "Olga Bazanova and Ekaterina Nikolenko and Alexander Zakharov and Tatyana Maryanovsaya",
year = "2024",
doi = "10.1109/USBEREIT61901.2024.10584063",
language = "English",
isbn = "9798350362893",
series = "Proceedings - 2024 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "143--146",
booktitle = "Proceedings - 2024 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2024",
address = "United States",
note = "2024 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2024 ; Conference date: 13-05-2024 Through 15-05-2024",
url = "https://usbereit.ieeesiberia.org/",

}

RIS

TY - GEN

T1 - Theoretical Substantiations Of Registration And Analysis Of EEG To Increase The Reliability Of Neurofeedback Training (NFT)

AU - Bazanova, Olga

AU - Nikolenko, Ekaterina

AU - Zakharov, Alexander

AU - Maryanovsaya, Tatyana

PY - 2024

Y1 - 2024

N2 - This paper presents a review of literature data and our own results of the study of the factors of the procedure of EEG recording and analysis that affect the personalization and, consequently, the effectiveness of neurofeedback training (NFT). Here will be discussed localization and montage of electrodes, environmental factors such as: the time of day, body position, visual condition, duration, and sequence of closed and open eye trials during EEG recording. As feedback it is supposed to use EEG indices established individually on the basis of analysis of endophenotypic index of alpha peak frequency and neuronal activation. In this article, based on an analysis of the literature and our own results, the procedure and sequence of EEG recording and analysis, which are supposed to be carried out before and after self-control training using Neurofeedback will be presented. A rationale for each step will be given from the point of view of how this or that issue can influence the personalization and consequently, effectiveness of self-regulation training with neurofeedback to optimize its own individual neural efficiency.

AB - This paper presents a review of literature data and our own results of the study of the factors of the procedure of EEG recording and analysis that affect the personalization and, consequently, the effectiveness of neurofeedback training (NFT). Here will be discussed localization and montage of electrodes, environmental factors such as: the time of day, body position, visual condition, duration, and sequence of closed and open eye trials during EEG recording. As feedback it is supposed to use EEG indices established individually on the basis of analysis of endophenotypic index of alpha peak frequency and neuronal activation. In this article, based on an analysis of the literature and our own results, the procedure and sequence of EEG recording and analysis, which are supposed to be carried out before and after self-control training using Neurofeedback will be presented. A rationale for each step will be given from the point of view of how this or that issue can influence the personalization and consequently, effectiveness of self-regulation training with neurofeedback to optimize its own individual neural efficiency.

KW - electroencephalography

KW - index of alpha peak frequency

KW - neurofeedback

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UR - https://www.mendeley.com/catalogue/380fe947-0102-3b48-b9a4-6918328b5629/

U2 - 10.1109/USBEREIT61901.2024.10584063

DO - 10.1109/USBEREIT61901.2024.10584063

M3 - Conference contribution

SN - 9798350362893

T3 - Proceedings - 2024 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2024

SP - 143

EP - 146

BT - Proceedings - 2024 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2024

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2024 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology

Y2 - 13 May 2024 through 15 May 2024

ER -

ID: 60463345