Flow–Characterization of Oral Cavities for the Mechanical Lung Simulator xPULM

[1]  J. Villar,et al.  Unsuccessful and Successful Clinical Trials in Acute Respiratory Distress Syndrome: Addressing Physiology-Based Gaps , 2021, Frontiers in Physiology.

[2]  Yingzi Huang,et al.  Airway resistance variation correlates with prognosis of critically ill COVID-19 patients: a computational fluid dynamics study , 2022 .

[3]  David W. Kaczka,et al.  Shared Ventilation in the Era of COVID-19: A Theoretical Consideration of the Dangers and Potential Solutions , 2020, Respiratory Care.

[4]  Mathias Forjan,et al.  Changes of particle deposition caused by different breathing patterns during active lung simulation , 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[5]  Andreas Drauschke,et al.  New adjustable flow resistance design for mechanical lung simulator xPulm , 2019, IFAC-PapersOnLine.

[6]  Mathias Forjan,et al.  Comparison of Mathematical and Controlled Mechanical Lung Simulation in Active Breathing and Ventilated State , 2018 .

[7]  Mathias Forjan,et al.  Actively Breathing Mechanical Lung Simulator Development and Preliminary Measurements , 2017 .

[8]  Mathias Forjan,et al.  Sensor system development for the novel spontaneous active breathing lung simulator, i-Lung , 2012, PDeS.

[9]  Eric A. Hoffman,et al.  A numerical study of gas transport in human lung models , 2005, SPIE Medical Imaging.

[10]  Arne Erik Holdø,et al.  Numerical simulation of respiratory flow patterns within human lung , 2002, Respiratory Physiology & Neurobiology.

[11]  T. Shike,et al.  Animal models. , 2001, Contributions to nephrology.

[12]  H. Schiratzki.  UPPER AIRWAY RESISTANCE IN NORMAL MAN DURING MOUTH BREATHING. , 1964, Acta oto-laryngologica.