Medical ventilators are widely used in the treatment of patients with respiratory diseases. However, the use of these devices has become even more critical and widespread in ensuring proper patient monitoring worldwide. In the context of the COVID-19 pandemic, there is a growing need to train new healthcare professionals in operating these devices. As a result of these factors, the development of a virtual system that enables the simulation of the real functioning of mechanical ventilation devices is one of the key challenges in the healthcare sector. In this article, we describe a web-based application that allows for the control of ventilator in pressure mode. Within the application, models of various types of ventilation have been implemented, enabling the adjustment of parameters such as IPAP – (Inspiratory Positive Airway Pressure), EPAP – (Expiratory Positive Airway Pressure), Ti (Inspiration Time), and BR – (Breath Rate). The system provides a valuable training tool for medical students while enabling educators to monitor and assess their progress effectively.

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E-Learning Platform to Asynchrony/Leak Recognition and Elimination Using Simulation Model of Lung Mechanical Ventilation

  • Sebastian Meszynski,
  • Małgorzata Czajkowska-Malinowska,
  • Oleksandr Sokolov,
  • Oleksii Sokolov

摘要

Medical ventilators are widely used in the treatment of patients with respiratory diseases. However, the use of these devices has become even more critical and widespread in ensuring proper patient monitoring worldwide. In the context of the COVID-19 pandemic, there is a growing need to train new healthcare professionals in operating these devices. As a result of these factors, the development of a virtual system that enables the simulation of the real functioning of mechanical ventilation devices is one of the key challenges in the healthcare sector. In this article, we describe a web-based application that allows for the control of ventilator in pressure mode. Within the application, models of various types of ventilation have been implemented, enabling the adjustment of parameters such as IPAP – (Inspiratory Positive Airway Pressure), EPAP – (Expiratory Positive Airway Pressure), Ti (Inspiration Time), and BR – (Breath Rate). The system provides a valuable training tool for medical students while enabling educators to monitor and assess their progress effectively.