Современное состояние и тенденции в области исследований и разработок неонатальных инкубаторов
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Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

State of affairs and long-term trends in the field of neonatal incubator research and development

idFrolov S.V. idKorobov A.A. idSavinova K.S. idPotlov A.Y.

UDC 616-053.32
DOI: 10.26102/2310-6018/2023.43.4.016

  • Abstract
  • List of references
  • About authors

The history of neonatal incubator development and the evolution of its design were described. A generalized structural and functional diagram of a modern neonatal incubator was presented. Airflow patterns have been studied in detail, including illustration of typical airflow paths in double-walled incubators. A classification of neonatal incubators was given. Information about manufacturers of modern incubators was presented in a table that includes 51 manufacturers from 17 countries with the addresses of web sites that contain specifications of medical products they manufacture. Publications that discuss modeling heat and mass transfer processes in incubators for newborns were analyzed. It was concluded that modern computational aerodynamics packages are usually used for numerical modeling with consideration to the infant’s thermoregulation, their 3D-model, air circulation, convective, radiant and conductive heat transfer. Numerical modeling research is usually combined with physical modeling. The movement of air flows is analyzed using visible and infrared video cameras. The use of anatomically correct neonatal phantoms created by means of additive manufacturing was demonstrated. The thermoregulation process is simulated with the help of electric heaters, temperature sensors and control systems based on microcontrollers. The methods for monitoring the physiological parameters of an infant placed inside a neonatal incubator were reviewed. The advantages of non-contact monitoring methods using video cameras and thermometry has been illustrated. Modern neonatal incubator control systems were examined. The proportional integral derivative controllers are the basis of almost all control algorithms in neonatal incubation systems. The studies on the application of fuzzy logic control and various types of adaptive control in neonatal incubators were presented. It has been concluded that the structural and functional diagram of a neonatal incubator needs to be improved with a view to protecting from noise, electromagnetic radiation, infections, and harmful airborne contaminants. Potential approaches to improving the efficiency of maintaining neonatal-appropriate environmental conditions in neonatal incubators have been demonstrated.

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Frolov Sergei Vladimirovich
Doctor of Technical Sciences, Professor
Email: sergej.frolov@gmail.com

WoS | Scopus | ORCID | eLibrary |

Tambov State Technical University

Tambov, Russian Federation

Korobov Artyom Andreevich
Candidate of Technical Sciences
Email: korobov1991@mail.ru

Scopus | ORCID | eLibrary |

Tambov State Technical University

Tambov, the Russian Federation

Savinova Kristina Sergeevna

Email: savinova.k94@mail.ru

Scopus | ORCID | eLibrary |

Tambov State Technical University

Tambov, the Russian Federation

Potlov Anton Yurievich
Candidate of Technical Sciences, Associate Professor
Email: zerner@yandex.ru

WoS | Scopus | ORCID | eLibrary |

Tambov State Technical University

Tambov, the Russian Federation

Keywords: neonatal incubator, neonatal tissue-like phantom, numerical model, heat and mass transfer, system for monitoring physiological parameters, microclimate control, environmental neonatology

For citation: Frolov S.V. Korobov A.A. Savinova K.S. Potlov A.Y. State of affairs and long-term trends in the field of neonatal incubator research and development. Modeling, Optimization and Information Technology. 2023;11(4). Available from: https://moitvivt.ru/ru/journal/pdf?id=1473 DOI: 10.26102/2310-6018/2023.43.4.016 (In Russ).

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Full text in PDF

Received 09.11.2023

Revised 16.11.2023

Accepted 29.11.2023

Published 29.11.2023