Model-Based Ventilator Settings in Pressure Controlled Ventilation

Schranz, Christoph; Becher, Tobias; Schädler, Dirk; Weiler, Norbert; Möller, Knut

doi:10.1515/bmt-2013-4425

Cited by 9 publications

(2 citation statements)

References 4 publications

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“…Since patient-centered medicine is projected as the healthcare of the next generation, some approaches to model respiratory dynamics have been proposed based on the properties of the individual patient (Rees 2006). Likewise, Schranz (2013) developed the approach to predict the patient-specific parameter in a clinical operation of PCV which shows pressure minimization for inspiration for considerable inhalation and exhalation sequence. Crooke et al proposed a one-compartment model based on the Roher-type model designed to capture important variables such as tidal volume, average volume, expiratory pressure, and mean alveolar pressure, Crooke 2003, Acharya and Das Proceedings of the International Conference on Industrial Engineering and Operations Management Nsukka, Nigeria, 5 -7 April, 2022 2021 and Naggar 2015 developed simplified mathematical models leveraged on the conceptual framework that delineates the patient-device interaction for PCV in clinical settings.…”

Section: Literature Reviewmentioning

confidence: 99%

Prediction of Pneumonic Oxygenation in a PID-embedded Electro-pneumatic Pressure-Controlled Ventilator Device

Adetunla¹,

Amudipe²

2022

Proceedings of the International Conference on Industrial Engineering and Operations Management

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Respiratory-type infections of pandemic scale have shown the critical need for suitable ventilator-type for hospitalized patients. While volume and pressure control ventilators are commercial abundance in a clinical setting, the choice of which type is considered a determinant factor in recovery during a large-scale medical emergency. A novel design of the PID architecture with the capacity to mimic the native human lung under the pathological condition of covid-19 type infection is presented. Traction of oxygenation circuit is achieved via electro-pneumatic protocol based on coupled solenoid-energized valve over a computer-controlled electro-pneumatic workstation. Our observations showed the performance of the Pressure-controlled ventilator (PCV) system in terms of peak time, settling time and maximum overshoot yield improved oxygenation throughput. The performance of the lungmimicking PID-based control mechanism is attributed to smoothing the control of inspiratory pressure and consequently impacting the compliance in the modeled pulmonic vessel.

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Section: Literature Reviewmentioning

confidence: 99%

Prediction of Pneumonic Oxygenation in a PID-embedded Electro-pneumatic Pressure-Controlled Ventilator Device

Adetunla¹,

Amudipe²

2022

Proceedings of the International Conference on Industrial Engineering and Operations Management

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“…Dynamic elastance within a breath provides unique insight into a patient’s breathing pattern, revealing lung recruitment and overdistension [ 17 , 18 ]. In addition, identifying when minimum E drs (maximum compliance) occurs during PEEP titration can help identify an optimal patient-specific PEEP to minimise work of breathing (WOB) and maximise recruitment without inducing further lung injury [ 19 , 20 ]. This work presents a novel method of visualising the time-varying respiratory elastance to provide a higher resolution metric to guide MV therapy.…”

Section: Introductionmentioning

confidence: 99%

Visualisation of time-varying respiratory system elastance in experimental ARDS animal models

et al. 2014

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BackgroundPatients with acute respiratory distress syndrome (ARDS) risk lung collapse, severely altering the breath-to-breath respiratory mechanics. Model-based estimation of respiratory mechanics characterising patient-specific condition and response to treatment may be used to guide mechanical ventilation (MV). This study presents a model-based approach to monitor time-varying patient-ventilator interaction to guide positive end expiratory pressure (PEEP) selection.MethodsThe single compartment lung model was extended to monitor dynamic time-varying respiratory system elastance, Edrs, within each breathing cycle. Two separate animal models were considered, each consisting of three fully sedated pure pietrain piglets (oleic acid ARDS and lavage ARDS). A staircase recruitment manoeuvre was performed on all six subjects after ARDS was induced. The Edrs was mapped across each breathing cycle for each subject.ResultsSix time-varying, breath-specific Edrs maps were generated, one for each subject. Each Edrs map shows the subject-specific response to mechanical ventilation (MV), indicating the need for a model-based approach to guide MV. This method of visualisation provides high resolution insight into the time-varying respiratory mechanics to aid clinical decision making. Using the Edrs maps, minimal time-varying elastance was identified, which can be used to select optimal PEEP.ConclusionsReal-time continuous monitoring of in-breath mechanics provides further insight into lung physiology. Therefore, there is potential for this new monitoring method to aid clinicians in guiding MV treatment. These are the first such maps generated and they thus show unique results in high resolution. The model is limited to a constant respiratory resistance throughout inspiration which may not be valid in some cases. However, trends match clinical expectation and the results highlight both the subject-specificity of the model, as well as significant inter-subject variability.

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