“G_Sim” software providing simulations of human physiological responses to +/- Gz accelerations
Specialized software “G_Sim”, providing simulations of human physiological responses to dynamic Gz ac celerations, is created and tested. “G_Sim” is based on a previously developed and published quantitative mathematical model (QMM) that describes human hemodynamics under given Gz profiles without o...
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| Datum: | 2025 |
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| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | English |
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PROBLEMS IN PROGRAMMING
2025
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| Online Zugang: | https://pp.isofts.kiev.ua/index.php/ojs1/article/view/761 |
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| Назва журналу: | Problems in programming |
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Problems in programming| Zusammenfassung: | Specialized software “G_Sim”, providing simulations of human physiological responses to dynamic Gz ac celerations, is created and tested. “G_Sim” is based on a previously developed and published quantitative mathematical model (QMM) that describes human hemodynamics under given Gz profiles without or with special protective tools and algorithms. “G_Sim” is a modern information technology realized as an auto nomic executive module in the Delphi Pascal environment. By default, the biological parameters of QMM are tuned for the mean man, who is 175 cm in height and has a 70 kg mass. “G_Sim” has an intuitive user in terface (UI) that provides the user with procedures necessary to actualize characteristics of QMM, realize a computer experiment (simulation), visualize its results in graph forms for analysis, and save the chosen data for further analysis. The actualization concerns biological data associated with human sex, anthropometrics, age, and non-biological characteristics including acceleration profiles, characteristics of the anti-G suit, breathing techniques, and muscle stressing mode. UI's special windows provide additional tunings of the basic QMM. “G_Sim” upgrades the traditional training techniques on centrifuges and test flights. The novel beneficial effect of “G_Sim” provides the future fighter pilot with realistic-like visual knowledge concerning the dynamics of physiological and protective events. Therefore, simulations will clearly show ways to opti mize the combination of artificial protections to prevent negative effects (loss of vision or consciousness). Such knowledge will shorten training and minimize the anthropogenic risk of serious injuries or catastro phes during the training. Test simulations presented in the paper mainly illustrate the potential of “G_Sim” as an assistant informational technology. Prombles in programming 2025; 1: 13-23 |
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