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Avtomatika i Telemekhanika, 2018, Issue 11, Pages 3–15
DOI: https://doi.org/10.31857/S000523100002773-4 (Mi at15218) 		 
This article is cited in 2 scientific papers (total in 2 papers)

Control Problems for the Development of Large-Scale Systems

Intelligent analysis of quasiperiodic bioosignals in medical diagnostic problems (with the example of a pulse signal)

A. A. Desovaa, V. V. Guchuka, I. V. Pokrovskayaa, A. A. Dorofeyukab

a Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia
b Institute for Systems Analysis, Russian Academy of Sciences, Federal Research Center “Informatics and Control”, Moscow, Russia
Full-text PDF (2719 kB) Citations (2)
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DOI: https://doi.org/10.31857/S000523100002773-4
Abstract: We identify the main stages of intelligent analysis of the pulse signal of the radial artery, used to obtain a set of informative parameters in medical diagnostic problems for various diseases. We show the results of expert and formalized classifications of the parameters of the analyzed signal, including the parameters of the shape of the pulse wave within the main quasiperiod and parameters that determine the rhythmic structure of the signal. We develop a multi-stage scheme for obtaining a set of informative parameters of the pulse signal that allows to take into account their characteristic features. The effectiveness of the developed approaches is demonstrated with the example of the problem of diagnosing early stages of arterial hypertension.
Keywords: data mining, pulse signal of the radial artery, qualitative and quantitative characteristics of the signal, pulse shape, rhythmic structure of the signal.
Funding agency Grant number
Russian Foundation for Basic Research 17-07-00857_à
16-07-00896_à
16-29-12880_îôè_ì
16-29-12895_îôè_ì
15-07-06713_à
This work was supported in part by the Russian Foundation for Basic Research, projects nos. 17-07-00857, 16-07-00896, 16-29-12880-ofi, 16-29-12895-ofi, 15-07-06713.
Presented by the member of Editorial Board: A. I. Mikhal'skii

Received: 09.11.2017
English version:
Automation and Remote Control, 2018, Volume 79, Issue 11, Pages 1953–1962
DOI: https://doi.org/10.1134/S0005117918110012
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. A. Desova, V. V. Guchuk, I. V. Pokrovskaya, A. A. Dorofeyuk, “Intelligent analysis of quasiperiodic bioosignals in medical diagnostic problems (with the example of a pulse signal)”, Avtomat. i Telemekh., 2018, no. 11, 3–15; Autom. Remote Control, 79:11 (2018), 1953–1962
Citation in format AMSBIB
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\pages 3--15
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    • This publication is cited in the following 2 articles:
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