Transient respiratory response to hypercapnia: Analysis via a cardiopulmonary simulation model

Albanese, Anthony A.; Chbat, Nicolas W.; Ursino, Mauro

doi:10.1109/iembs.2011.6090668

Cited by 6 publications

(6 citation statements)

References 14 publications

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“…These observations are in agreement with other studies [80,81,82]. Tidal volume (V T ) and respiratory frequency ( f R ) increase at higher stimulus.…”

Section: Experimental Data and Protocolsupporting

confidence: 83%

Novel Modeling of Work of Breathing for Its Optimization During Increased Respiratory Efforts

Higuita

Mañanas

Sánchez

et al. 2016

IEEE Systems Journal

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One of the most complex physiological systems whose modeling is still an open study is the respiratory control system where different models have been proposed based on the criterion of minimizing the work of breathing (WOB). The aim of this study is twofold: to compare two known models of the respiratory control system which set the breathing pattern based on quantifying the respiratory work; and to assess the influence of using direct-search or evolutionary optimization algorithms on adjustment of model parameters. This study was carried out using experimental data from a group of healthy volunteers under CO 2 incremental inhalation, which were used to adjust the model parameters and to evaluate how much the equations of WOB follow a real breathing pattern. This breathing pattern was characterized by the following variables: tidal volume, inspiratory and expiratory time duration and total minute ventilation. Different optimization algorithms were considered to determine the most appropriate model from physiological viewpoint. Algorithms were used for a double optimization: firstly, to minimize the WOB and secondly to adjust model parameters. The performance of optimization algorithms was also evaluated in terms of convergence rate, solution accuracy and precision. Results showed strong differences in the performance of opti- mization algorithms according to constraints and topological features of the function to be optimized. In breathing pattern optimization, the sequential quadratic programming technique (SQP) showed the best performance and convergence speed when respiratory work was low. In addition, SQP allowed to implement multiple non-linear constraints through mathematical expressions in the easiest way. Regarding parameter adjustment of the model to experimental data, the evolutionary strategy with covariance matrix and adaptation (CMA-ES) provided the best quality solutions with fast convergence and the best accuracy and precision in both models. CMAES reached the best adjustment because of its good performance on noise and multi-peaked fitness functions. Although one of the studied models has been much more commonly used to simulate respiratory response to CO 2 inhalation, results showed that an alternative model has a more appropriate cost function to minimize WOB from a physiological viewpoint according to experimental data.

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“…These observations are in agreement with other studies [80,81,82]. Tidal volume (V T ) and respiratory frequency ( f R ) increase at higher stimulus.…”

Section: Experimental Data and Protocolsupporting

confidence: 83%

Novel Modeling of Work of Breathing for Its Optimization During Increased Respiratory Efforts

Higuita

Mañanas

Sánchez

et al. 2016

IEEE Systems Journal

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“…10) have been replaced with a more detailed model proposed in Ursino and Magosso (68). Motivations for this choice have been reported in a previous paper (2), and more details are included in the next section, since this model is also used in the respiratory control module.…”

Section: H904mentioning

confidence: 99%

“…A detailed description of the input-output relationships of the central and peripheral chemoreflex has been provided in a previous paper (2), and complete equations are reported in the APPENDIX. Briefly, the central chemoreceptor mechanism is described as a first-order dynamic system with a pure delay, having as input the variation of partial pressure of CO 2 (PCO2) in the arterial blood with respect to a set-point value PaCO 2, n. The peripheral chemoreflex, on the other hand, is described as a two-stage transduction mechanism, where PaO 2 and PaCO 2 are first transduced into electrical activity of the peripheral chemoreceptor fibers, fapc, which is then converted into Fig.…”

Section: H904mentioning

confidence: 99%

“…Our group has developed an integrated model to overcome some of the above limitations by including finer cardiorespiratory interactions and short-term control mechanisms. The model is the result of a multiyear effort, and only preliminary results have been presented in previous papers (2,7,27). The model is presented in two separate papers: Model development and Model validation under hypercapnia and hypoxia.…”

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confidence: 99%

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An integrated mathematical model of the human cardiopulmonary system: model development

Albanese

Cheng

Ursino

et al. 2016

American Journal of Physiology-Heart and Circulatory Physiology

100

147

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Several cardiovascular and pulmonary models have been proposed in the last few decades. However, very few have addressed the interactions between these two systems. Our group has developed an integrated cardiopulmonary model (CP Model) that mathematically describes the interactions between the cardiovascular and respiratory systems, along with their main short-term control mechanisms. The model has been compared with human and animal data taken from published literature. Due to the volume of the work, the paper is divided in two parts. The present paper is on model development and normophysiology, whereas the second is on the model's validation on hypoxic and hypercapnic conditions. The CP Model incorporates cardiovascular circulation, respiratory mechanics, tissue and alveolar gas exchange, as well as short-term neural control mechanisms acting on both the cardiovascular and the respiratory functions. The model is able to simulate physiological variables typically observed in adult humans under normal and pathological conditions and to explain the underlying mechanisms and dynamics.

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“…Chbat et al [20] extended this model to include hypercapnic respiratory failure. Subsequently, Albanese et al [21, 22] further refined the model to include the autonomic nervous system interactions. Other notable CP models in the literature, featuring chemoreceptor and baroreceptor regulation, include those by Fernandes et al [23] and Lin et al [24].…”

Section: Introductionmentioning

confidence: 99%

Comparing physiological impacts of positive pressure ventilation versus self-breathing via a versatile cardiopulmonary model incorporating a novel alveoli opening mechanism

Cabeleira,

Anand,

Ray

et al. 2024

Preprint

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Mathematical models can be used to generate high-fidelity simulations of the cardiopulmonary system. Such models, when applied to real patients, can provide valuable insights into underlying physiological processes that are hard for clinicians to observe directly. In this work, we propose a novel modelling strategy capable of generating scenario-specific cardiopulmonary simulations to replicate the vital physiological signals clinicians use to determine the state of a patient. This model is composed of a tree-like pulmonary system that features a novel, non-linear alveoli opening strategy, based on the dynamics of balloon inflation, that interacts with the cardiovascular system via the thorax. A baseline simulation of the model is performed to measure the response of the system during spontaneous breathing which is subsequently compared to the same system under mechanical ventilation. To test the new lung opening mechanics and systematic recruitment of alveolar units, a positive end-expiratory pressure (PEEP) test is performed and its results are then compared to simulations of a deep spontaneous breath. The system displays a marked decrease in tidal volume as PEEP increases, replicating a sigmoidal curve relationship between volume and pressure. At high PEEP, cardiovascular function is shown to be visibly impaired, in contrast to the deep breath test where normal function is maintained.

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Transient respiratory response to hypercapnia: Analysis via a cardiopulmonary simulation model

Cited by 6 publications

References 14 publications

Novel Modeling of Work of Breathing for Its Optimization During Increased Respiratory Efforts

Novel Modeling of Work of Breathing for Its Optimization During Increased Respiratory Efforts

An integrated mathematical model of the human cardiopulmonary system: model development

Comparing physiological impacts of positive pressure ventilation versus self-breathing via a versatile cardiopulmonary model incorporating a novel alveoli opening mechanism

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