Simulation of Mathematical Model for Lung and Mechanical Ventilation

Al-Naggar, Noman Q.; Al-Hetari, Husam Y.; Alakwaa, Fadhl

doi:10.20428/jst.21.1.1

Cited by 7 publications

(3 citation statements)

References 6 publications

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“…The compressor and the container represent the ventilator. Naggar et al, [8] proposed an integrated mathematical model of the mechanical ventilator and the lung. Linear quadratic and exponential equations were used to model the system.…”

Section: Related Workmentioning

confidence: 99%

A Novel Mixed Finite/Infinite Dimensional Port-Hamiltonian Model of a Mechanical Ventilator

Madahana,

Ekoru,

Nyandoro

2024

Preprint

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Mechanical ventilation is a life-saving treatment for critically ill patients who are struggling to breathe independently due to injury or disease. Globally, large numbers of Individuals have always required mechanical ventilation per year. The Covid-19 pandemic elevated the significance of the mechanical ventilation which have played a significant role in sustaining Covid 19 infected critically ill patients who could not breathe on their own. The pandemic drew the attention of the world to the shortage of ventilators globally.This research work presents the formulation of a detailed Port Hamiltonian model of a mechanical ventilator integrated to the human respiratory system. The interconnection and coupling conditions for the various subsystem within the mechanical ventilator and the coupling between the mechanical ventilator and the human respiratory system is also presented.A structure preservation discretization is provided along side numerical simulations and results. The obtained results are found to be comparable to results presented in literature.The future work will include the design of suitable controllers for system.

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Section: Related Workmentioning

confidence: 99%

A Novel Mixed Finite/Infinite Dimensional Port-Hamiltonian Model of a Mechanical Ventilator

Madahana,

Ekoru,

Nyandoro

2024

Preprint

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“…In addition, the Matlab/Simluink program displays the dynamic compliance that reflects the patient response during artificial ventilation process. Finally, the model can present the output signals of PCV during artificial ventilation for an ideal case (healthy lung) and a practical case (unhealthy lung) [6].…”

Section: -Related Workmentioning

confidence: 99%

MATLAB/Simulink Mathematical Model for Lung and Ventilator

Jaber

Hamawy

Hajj-Hassan

et al. 2020

2020 32nd International Conference on Microelectronics (ICM)

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Patients diagnosed with positive coronavirus results suffer from difficulties in breathing and major drop in blood oxygen saturation. This could lead unfortunately to a possible death if not treated well. Thus, this has increased the demand for the medical mechanical ventilators worldwide. The idea behind this work is development of a computational model for the study of the impact of different ventilation modes on patient's respiratory system generally, and lungs more specifically. This model has been created using Matlab/Simulink platform. The studied ventilation mode is the Pressure Controlled Ventilator (PCV) signal combined to single and two compartmental models in series and in parallel mathematical models configuration of the lungs that represent the respiratory system parameters for testing. The ventilator's setup includes the following parameters: positive end-expiratory pressure (PEEP), pressure wave, respiratory rate (RR), tidal volume, and others. By changing one of these parameters, we can monitor how this will affect the lungs by checking the volume, flow and PV loop for each lung mode. Simulation results have been recorded and are promising because this allows to study any type of ventilation modes conventional or novel ones virtually without the need to jeopardize the life of human subjects during clinical trials.

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“…The feedback initiates the system to linearize the dynamics of the ventilator and establish a PI controller and ILC algorithm that satisfy the convergence, stability, and final error criteria [1]. To reflect the obtained sequence of inspiration and expiration movement by volume controlled ventilation for ideal and practical lung instances, the recommended mathematical model is specified by linear, quadratic, and exponential equations [2]. A structure is proposed that consists of an internal model based tracking controller and an overall stabilizing performance.…”

Section: Introductionmentioning

confidence: 99%

Optimization Based Control of Pressure regulation for Mechanical Ventilation System using Artificial Bee Colony Optimization (ABC) algorithm

Thilakar¹,

Govindasamy²

2022

Preprint

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This study proposes a lung mechanics model that replicates respiratory alveolar ventilation. A PC-based algorithm for mechanical ventilation support system is becoming increasingly popular because of its superior performance, efficiency, and ease of operation, A person having problem in the respiratory tract, an artificial ventilator machine with respiratory support is used. In the framework of proportional assist ventilation, optimization based feedback controller design for life support medical ventilators are explored. Investigated systematically persistence of the lungs pressure–volume with residual volume all accord with the model (RV). A typical time-delay system is a pressure and volume regulated mechanical ventilation system, which is used to treat patients who are unable to breathe effectively under their own. The proposed work an Artifcial Bee Colony optimization (ABC) can be practiced along with PID to identify optimal solutions to the tradeoffs inherent in mechanical Ventilation, in conjunction with a validated pulmonary physiology simulator. The Artificial Bee Colony (ABC) method is an optimization technique based on honeybee swarms unique inventive observance. The proposed research work discusses the instant phase of the art in the field of algorithms like Artificial Bee Colony, Harmony Search(HS),Grey Wolf Optimization (GWO) for mechanical ventilation. The proposed investigation deliberates the optimization for the ventilation and among these Artificial Bee Colony optimization gives the refined output of 200 cm of H2O at 20 cm of H2O while confronting with the Harmony Search (HS) provides 100 cm of H2O at 20 cm of H2O and Grey Wolf Optimization (GWO) 60 cm of H2O at 20 cm of H2O. Artificial Bee Colony optimization furnishes the enhanced amount of pressure and volume respectively.

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Simulation of Mathematical Model for Lung and Mechanical Ventilation

Cited by 7 publications

References 6 publications

A Novel Mixed Finite/Infinite Dimensional Port-Hamiltonian Model of a Mechanical Ventilator

A Novel Mixed Finite/Infinite Dimensional Port-Hamiltonian Model of a Mechanical Ventilator

MATLAB/Simulink Mathematical Model for Lung and Ventilator

Optimization Based Control of Pressure regulation for Mechanical Ventilation System using Artificial Bee Colony Optimization (ABC) algorithm

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