Structural and algorithmic methods to improve the accuracy of measurements in the diagnosis of systems for biological and technical objects

Authors

  • Oleksandr Mytrofanovych Roik Vinnytsia National Technical University
  • Anatolii Vatslavovych Poplavskyi Vinnytsia National Technical University
  • Anzhelika Oleksiivna Azarova Vinnytsia National Technical University

Keywords:

generalized mathematical model, electropunctural diagnostic, artificial separation, primary converters

Abstract

Generalized mathematical model of artificial separation closed circuits in medical diagnostics objectives was developed, indexation system algorithms of creating  complex  primary converters basic structures electropunctural diagnostic was determined. Generalized mathematical model of multiplicative error of  complex  primary converters basic structures electropunctural diagnostic was determined. тическая модель мультипликативных погрешностей комплекса базових структур первичных преобразователей электропунктурной диагностики.

Author Biographies

Oleksandr Mytrofanovych Roik, Vinnytsia National Technical University

Department of Management and Information Systems Security

Anatolii Vatslavovych Poplavskyi, Vinnytsia National Technical University

Department of Management and Information Systems Security

Anzhelika Oleksiivna Azarova, Vinnytsia National Technical University

Ph. D., Professor, Department of Management and Information Systems Security

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Abstract views: 301

Published

2017-01-20

How to Cite

[1]
O. M. Roik, A. V. Poplavskyi, and A. O. Azarova, “Structural and algorithmic methods to improve the accuracy of measurements in the diagnosis of systems for biological and technical objects”, ІТКІ, vol. 37, no. 3, pp. 5–13, Jan. 2017.

Issue

Vol. 37 No. 3 (2016): Information Technology and Computer Engineering

Section

Biological and medical devices and systems

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