RUS  ENG JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB
General information
Latest issue
Archive

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



J. Comp. Eng. Math.:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


J. Comp. Eng. Math., 2018, Volume 5, Issue 1, Pages 23–30 (Mi jcem110)  

Computational Mathematics

Modeling of multifactor regression of the synchronization period for an individual pattern of the human brain neural network

Yu. I. Koryukalova, N. S. Sof'inab, D. V. Sof'inb, N. A. Lebedevab

a LLC Neurotechnology, Chelyabinsk, Russian Federation
b South Ural State University, Chelyabinsk, Russian Federation

Abstract: We consider multifactor model of the human brain synchronization depending on external factors (frequency and index of alpha rhythm, interhemispheric asymmetry and type of neural network of the head brain). All statistical data were obtained with the help of device Neuron-Spectrum (Neurosoft, Russia), which carried out multichannel registration of EEG (electroencephalogram) by 8 cup electrodes connected with ear electrodes and localized in accordance with the system 10–20. We consider the following two groups of subjects: people who regularly practice psycho-physical relaxation (meditation) and aged 22–34, and people who do not practice psycho-regulation and aged 22–38. The testing of the constructed models for the Control group proves an importance of all investigated factors and gives a mean absolute percentage error 0.53%. Also, the coefficient of determination showed that 99.9% of dispersion of the investigated feature is explained by the considered external factors. For the PPR (psycho-physical relaxation) group, we prove an importance of only one of the considered factors (frequency of alpha rhythm). Therefore, for this group, an additional research is needed to search for more significant external factors.

Keywords: multifactor model, synchronization of the head brain, interhemispheric asymmetry, type of neural network of the head brain, frequency of alpha rhythm, index of alpha rhythm, modeling, electroencephalogram.

DOI: https://doi.org/10.14529/jcem180103

Full text: PDF file (229 kB)
References: PDF file   HTML file

UDC: 57.087
MSC: 97M10
Received: 15.02.2018
Language:

Citation: Yu. I. Koryukalov, N. S. Sof'ina, D. V. Sof'in, N. A. Lebedeva, “Modeling of multifactor regression of the synchronization period for an individual pattern of the human brain neural network”, J. Comp. Eng. Math., 5:1 (2018), 23–30

Citation in format AMSBIB
\Bibitem{KorSofSof18}
\by Yu.~I.~Koryukalov, N.~S.~Sof'ina, D.~V.~Sof'in, N.~A.~Lebedeva
\paper Modeling of multifactor regression of the synchronization period for an individual pattern of the human brain neural network
\jour J. Comp. Eng. Math.
\yr 2018
\vol 5
\issue 1
\pages 23--30
\mathnet{http://mi.mathnet.ru/jcem110}
\crossref{https://doi.org/10.14529/jcem180103}
\elib{http://elibrary.ru/item.asp?id=32737016}


Linking options:
  • http://mi.mathnet.ru/eng/jcem110
  • http://mi.mathnet.ru/eng/jcem/v5/i1/p23

    SHARE: VKontakte.ru FaceBook Twitter Mail.ru Livejournal Memori.ru


    Citing articles on Google Scholar: Russian citations, English citations
    Related articles on Google Scholar: Russian articles, English articles
  • Journal of Computational and Engineering Mathematics
    Number of views:
    This page:44
    Full text:32
    References:5

     
    Contact us:
     Terms of Use  Registration  Logotypes © Steklov Mathematical Institute RAS, 2019