Please use this identifier to cite or link to this item: https://dspace.mnau.edu.ua/jspui/handle/123456789/16865
Title: Calculation method for a computer's diagnostics of cardiovascular diseases based on canonical decompositions of random sequences
Authors: Атаманюк, Ігор Петрович
Atamanyuk, Igor
Kondratenko, Yuriy P.
Keywords: Calculation method
Canonical decomposition
Electrocardiogram
Medical diagnostics
Ran-dom sequence
Cardiology
Decomposition
Diseases
Electrocardiography
Industrial research
Information management
Knowledge management
Numerical methods
Canonical decomposition
Density distributions
Density of distribution
Disease diagnostics
Medical diagnostics
Numerical experiments
Diagnosis
Goal 3: Ensure healthy lives and promote well-being for all at all ages
Issue Date: 2015
Citation: Atamanyuk, I., & Kondratenko, Y. (2015). Calculation method for a computer's diagnostics of cardiovascular diseases based on canonical decompositions of random sequences. CEUR Workshop Proceedings, 1356, 108–120.
Abstract: The canonical decomposition of sequence describing the change of cardiograms is put in the basis of the method for a computer system of disease diagnostics. Obtained criterion of the solution of the problem of electrocardio-grams classification is considerably simpler than the known criterion of making decision on the basis of the criterion of the maximum of density of distribution. The transition from multi-dimension density distribution to producing of uni-dimensional densities that allows to use random number of parameters of elec-trocardiograms for diagnostics is offered to carry out. The results of numerical experiment confirm the effectiveness of the offered method and high reliability of the processes of identification of cardiovascular diseases identification on the basis of its usage.
URI: https://dspace.mnau.edu.ua/jspui/handle/123456789/16865
Appears in Collections:Публікації науково-педагогічних працівників МНАУ у БД Scopus
Статті (Інженерно-енергетичний факультет)

Files in This Item:
File Description SizeFormat 
paper_28.pdf512,82 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.