Abstract
Oxygen and carbon dioxide gas exchange are one of the principal indicators of a microorganism state. In bioprocesses, cultivated cell oxygen consumption and carbon dioxide production are descriptors of process quality. This paper presents how a soft-sensor for gas analysis from biotechnology also applies to macroorganisms. The study combines information from venous blood gas analysis and expiratory gasses to estimate partial pressures of oxygen and carbon dioxide in the venous blood of children in the pediatric intensive care unit. Observed data were from three patients with monitoring intervals ranging from 6 to 13 days. Presented models had the lowest mean average error of 3.17 mmHg for carbon dioxide \({PvCO}_{2}\) and 1.64 mmHg for oxygen \({PvO}_{2}\). Additionally, the carbon dioxide model proposes a critical flow of inspiratory gas at which no carbon dioxide should accumulate in the respiratory system. The paper lays a basis for further research on the noninvasive monitoring of breath data and its applicability in the medical field.
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The medical study is carried out under the permit BE-2-92 granted by the Kaunas Regional Biomedical Research Ethics Committee.
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Funding
This project received funding from the European Regional Development Fund (project no. 01.2.2-LMT-K-718-03-0039) under a grant agreement with the Research Council of Lithuania (LMTLT).
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Kemesis, B., Urniezius, R., Kondratas, T., Jankauskaite, L., Masaitis, D., Babilius, P. (2023). Bridging Functional Model of Arterial Oxygen with Information of Venous Blood Gas: Validating Bioprocess Soft Sensor on Human Respiration. In: Kowalczuk, Z. (eds) Intelligent and Safe Computer Systems in Control and Diagnostics. DPS 2022. Lecture Notes in Networks and Systems, vol 545. Springer, Cham. https://doi.org/10.1007/978-3-031-16159-9_4
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