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Comparison of Mathematical and Controlled Mechanical Lung Simulation in Active Breathing and Ventilated State
Respiratory diseases are ubiquitous among European citizens and their prevalence is increasing steadily. Deeper insight into the respiratory process can be gained by modelling of the region of interest in the human body. The presented lung simulator xPULM bridges the gap between in-silico (mathemati...
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Published in: | IFAC-PapersOnLine 2018, Vol.51 (6), p.42-47 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Respiratory diseases are ubiquitous among European citizens and their prevalence is increasing steadily. Deeper insight into the respiratory process can be gained by modelling of the region of interest in the human body. The presented lung simulator xPULM bridges the gap between in-silico (mathematical), in-vivo (cell culture based) and mechanical models of the respiratory tract. By adopting selected mathematical models of the human respiratory tract two scenarios were simulated. The linear mathematical single compartment model was used for simulation of the human breathing pattern at rest. Higher complexity non-linear mathematical model reflecting diverse nature of the human respiratory tract was used as a basis for simulation of an artificially ventilated patient. The time-flow characteristics of the mathematical models have been implemented into the control software of the mechanical lung simulator - xPULM. The simulator was then configured to replicate these required breathing patterns employing feedback control loop. The airflow was measured over the course of breathing simulation. The results show high conformity of required and measured breathing patterns characteristic with steady frequency rate and minimal airflow variability. Furthermore, xPULM was capable of reproducing rapid changes of airflow occurring during simulation of artificially ventilated patient, showing high versatility and adaptability of the simulator. Future research will focus on reduction of flow fluctuations and implementation of new breathing patterns. |
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ISSN: | 2405-8963 2405-8963 |
DOI: | 10.1016/j.ifacol.2018.07.127 |