Simulation and Analysis of an Integrated Cardiopulmonary Gas Exchange Model Under Different Pathological Conditions

The development of individualised diagnosis and treatment plans depends on accurate modelling of cardiopulmonary dynamics. A comprehensive cardiopulmonary model that incorporates gas exchange, lung mechanics and cardiovascular interactions has been provided in this work. This model shows high accuracy after being carefully assessed against existing model and clinical observations. The essential physiological parameters are altered to imitate pathological situations such as hypoxia, hypercapnia, chronic obstructive pulmonary disease and pulmonary fibrosis. The findings provide quantitative insights into the progression of the disease by revealing apparent changes in ventilatory response, blood flow dynamics and alveolar gas exchange. These results help practitioners to diagnose diseases in advance.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3556023
Citations
1
Primary Topic
Cardiovascular Function and Risk Factors
Type
article
Field-Weighted Citation Impact
1.39
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article

Simulation and Analysis of an Integrated Cardiopulmonary Gas Exchange Model Under Different Pathological Conditions

N. Selvaganesan, Shantanu Saha, K Anjana
1 citations
IEEE Access
Cardiovascular Function and Risk Factors
1.39
article

Simulation and Analysis of an Integrated Cardiopulmonary Gas Exchange Model Under Different Pathological Conditions

N. Selvaganesan, Shantanu Saha, K Anjana
article en
1 citations

Abstract

The development of individualised diagnosis and treatment plans depends on accurate modelling of cardiopulmonary dynamics. A comprehensive cardiopulmonary model that incorporates gas exchange, lung mechanics and cardiovascular interactions has been provided in this work. This model shows high accuracy after being carefully assessed against existing model and clinical observations. The essential physiological parameters are altered to imitate pathological situations such as hypoxia, hypercapnia, chronic obstructive pulmonary disease and pulmonary fibrosis. The findings provide quantitative insights into the progression of the disease by revealing apparent changes in ventilatory response, blood flow dynamics and alveolar gas exchange. These results help practitioners to diagnose diseases in advance.

IEEE AccessVol. 13
Indian Institute of Space Science and Technology (IN)
Openalex Percentile: Top 21%
Cardiovascular Function and Risk Factors
1.39
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