Problemy Upravleniya
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



Probl. Upr.:
Year:
Volume:
Issue:
Page:
Find






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


Problemy Upravleniya, 2010, Issue 5, Pages 39–47 (Mi pu605)  

This article is cited in 1 scientific paper (total in 1 paper)

Control of medicobiologic systems

Expert-ranging methodology for quasiperiodic signals analysis in diagnostic problems

A. A. Dorofeyuk, V. V. Guchuk, A. A. Desova, J. A. Dorofeyuk

Institute of Control Sciences, Russian Academy of Sciences, Moscow
References:
Abstract: The paper considers the methodology of quasiperiodic time series structure analysis for solving diagnostic problems, that has been developed on the basis of the expert-ranging data analysis methods. The methodology has been implemented and applied practically on the base of using radial artery pulse signal analysis for complex medical diagnostic problem solving. The results of investigation, presented in the paper, proved the fundamental possibility of complex disease diagnostics based on quasiperiodic bioelectric signal (pulsograms) analysis.
Keywords: expert-ranging methods, quasiperiodic signals, radial artery pulse signal (pulsogram), pulsogram form typology, pulsogram spectral density typology, medical diagnostics.
Document Type: Article
UDC: 612.821+615.47+616.12-008
Language: Russian
Citation: A. A. Dorofeyuk, V. V. Guchuk, A. A. Desova, J. A. Dorofeyuk, “Expert-ranging methodology for quasiperiodic signals analysis in diagnostic problems”, Probl. Upr., 2010, no. 5, 39–47
Citation in format AMSBIB
\Bibitem{DorGucDes10}
\by A.~A.~Dorofeyuk, V.~V.~Guchuk, A.~A.~Desova, J.~A.~Dorofeyuk
\paper Expert-ranging methodology for quasiperiodic signals analysis in diagnostic problems
\jour Probl. Upr.
\yr 2010
\issue 5
\pages 39--47
\mathnet{http://mi.mathnet.ru/pu605}
Linking options:
  • https://www.mathnet.ru/eng/pu605
  • https://www.mathnet.ru/eng/pu/v5/p39
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Проблемы управления
    Statistics & downloads:
    Abstract page:381
    Full-text PDF :117
    References:64
    First page:7
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024