Computer visualization in breathing curve analysis
https://doi.org/10.29001/2073-8552-2020-35-4-57-64.
Abstract
The aim. To study the features of the breathing process based on the breathing curve analysis in patients with various forms of bronchial asthma using computer visualization methods.
Material and Methods. The experimental data comprised breathing curves registered with the MONITOR device in patients with various bronchial asthma types and a group of apparently healthy people. The original algorithm of spectral-time analysis was used to identify the characteristic features of the breathing curves in each group at the stage of digital processing.
Results. Breathing curves were analyzed and typical images were obtained for the group of apparently healthy individuals and four groups of patients with various types of bronchial asthma (following the classification of E.V. Nemerov).
Conclusion. A spectral-time analysis allowed us to obtain characteristic “single” graphical images of the breath curve in patients with various forms of bronchial asthma. The resulting images can be used as an additional diagnostic criterion. The algorithm proposed by the authors can also be used in the analysis of any other biosignals.
Supporting agencies: the study was carried out with the partial fi nancial support of the Russian Foundation for Basic Research (RFBR) as part of research projects No. 19-37-90005 and No. 18-07-00543.
About the Authors
O. G. Berestneva
National Research Tomsk Polytechnic University
Russian Federation
Russian Federation
Olga G. Berestneva, Dr. Sci. (Tech.), Professor, Department of Information Technologies, School of Computer Science & Robotics
30, Lenin ave., Tomsk, 634050
I. A. Osadchaya
National Research Tomsk Polytechnic University
Russian Federation
Russian Federation
Irina A. Osadchaya, Postgraduate Student, Department of Information Technologies, School of Computer Science & Robotics
30, Lenin ave., Tomsk, 634050
I. A. Lyzin
National Research Tomsk Polytechnic University
Russian Federation
Russian Federation
Ivan A. Lyzin, Postgraduate Student, Department of Information Technologies, School of Computer Science & Robotics
30, Lenin ave., Tomsk, 634050
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Review
For citations:
Berestneva O.G., Osadchaya I.A., Lyzin I.A. Computer visualization in breathing curve analysis. Siberian Journal of Clinical and Experimental Medicine. 2020;35(4):57-64. (In Russ.) https://doi.org/10.29001/2073-8552-2020-35-4-57-64.
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