Matematicheskaya Biologiya i Bioinformatika
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Impact factor

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS


Mat. Biolog. Bioinform.:
Year:
Volume:
Issue:
Page:
Find




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

Matematicheskaya Biologiya i Bioinformatika, 2017, Volume 12, Issue 1, Pages 176–185
DOI: https://doi.org/10.17537/2017.12.176 (Mi mbb287) 		 
This article is cited in 4 scientific papers (total in 4 papers)

Data mining

Methods for magnetic encephalography data analysis in MathBrain cloud service

S. D. Rykunova, E. S. Oplachkoa, M. N. Ustinina, R. R. Llinásb

a Institute of Mathematical Problems of Biology RAS – the Branch of Keldysh Institute of Applied Mathematics of Russian Academy of Sciences, Pushchino, 142290, Russian Federation
b New York University, New York, NY, 10016, USA
Full-text PDF (985 kB) Citations (4)
References:
PDF
HTML
DOI: https://doi.org/10.17537/2017.12.176
Abstract: MathBrain is a cloud-based application, distributed under Software as a Service model. This application provides access to several algorithms of the multichannel encephalography data analysis. Spectral methods include direct and inverse Fourier transforms and quantitative analysis. Statistical methods involve principal component analysis and independent component analysis. The field maps of elementary components can be used to solve the magnetic encephalography inverse problem and to display the result at the magnetic resonance image. The application is designed to be used in human brain studies without mathematical training.
Key words: cloud computing, magnetic encephalography, spectral analysis, independent component analysis, inverse problem solution.
Funding agency Grant number
Russian Foundation for Basic Research 16-07-00937_а
16-07-01000_а
17-07-00677_а
17-07-00686_а
Russian Academy of Sciences - Federal Agency for Scientific Organizations I.33P
US Civilian R&D Foundation RB1-2027
RUB-7095-MO-13
This work was partially supported by the Russian Foundation for Basic Research (grants 16-07-00937, 16-07-01000, 17-07-00677, 17-07-00686), by the Program I.33P for Fundamental Research of the Russian Academy of Sciences, and by the CRDF Global (USA) (grants CRDF RB1-2027 and RUB-7095-MO-13).
Received 04.04.2017, Published 02.05.2017
Document Type: Article
UDC: 612.825+004.75
Language: English
Citation: S. D. Rykunov, E. S. Oplachko, M. N. Ustinin, R. R. Llinás, “Methods for magnetic encephalography data analysis in MathBrain cloud service”, Mat. Biolog. Bioinform., 12:1 (2017), 176–185
Citation in format AMSBIB
\Bibitem{RykOplUst17}
\by S.~D.~Rykunov, E.~S.~Oplachko, M.~N.~Ustinin, R.~R.~Llin\'as
\paper Methods for magnetic encephalography data analysis in MathBrain cloud service
\jour Mat. Biolog. Bioinform.
\yr 2017
\vol 12
\issue 1
\pages 176--185
\mathnet{http://mi.mathnet.ru/mbb287}
\crossref{https://doi.org/10.17537/2017.12.176}
Linking options:
  • https://www.mathnet.ru/eng/mbb287
  • https://www.mathnet.ru/eng/mbb/v12/i1/p176
    • This publication is cited in the following 4 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Statistics & downloads:
    Abstract page:233
    Full-text PDF :116
    References:38
     
      Contact us:
    		  Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024