Sensitivity analysis and optimization of a cardiovascular lumped parameter model for patient-specific modelling
Parameter estimation poses a significant challenge in developing patient-specific cardiovascular models. This study presents a framework that enhances parameter estimation in lumped parameter cardiovascular models by combining sensitivity analysis for parameter selection with multi-objective genetic...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor and Francis Ltd.
2025
|
| Subjects: | |
| Online Access: | https://umpir.ump.edu.my/id/eprint/45299/ |
| _version_ | 1848827378378211328 |
|---|---|
| author | Siti Munirah, Muhammad Ali El-Bouri, Wahbi Wan Naimah, Wan Ab Naim Mohd Jamil, Mohamed Mokhtarudin |
| author_facet | Siti Munirah, Muhammad Ali El-Bouri, Wahbi Wan Naimah, Wan Ab Naim Mohd Jamil, Mohamed Mokhtarudin |
| author_sort | Siti Munirah, Muhammad Ali |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Parameter estimation poses a significant challenge in developing patient-specific cardiovascular models. This study presents a framework that enhances parameter estimation in lumped parameter cardiovascular models by combining sensitivity analysis for parameter selection with multi-objective genetic algorithm optimization. Four key parameters were identified as the most influential and subsequently optimized. Model outputs, specifically mean arterial pressure (MAP), were validated against clinical values from a public database. The optimized model’s MAP demonstrated a strong correlation with clinical MAP (r = 0.99997, p < 0.001), and a t-test analysis (p = 0.752) confirmed statistical equivalence with clinical data. This approach highlights the potential of sensitivity analysis and genetic algorithms to improve accuracy in patient-specific cardiovascular modelling. |
| first_indexed | 2025-11-15T03:59:46Z |
| format | Article |
| id | ump-45299 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:59:46Z |
| publishDate | 2025 |
| publisher | Taylor and Francis Ltd. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-452992025-08-07T06:54:51Z https://umpir.ump.edu.my/id/eprint/45299/ Sensitivity analysis and optimization of a cardiovascular lumped parameter model for patient-specific modelling Siti Munirah, Muhammad Ali El-Bouri, Wahbi Wan Naimah, Wan Ab Naim Mohd Jamil, Mohamed Mokhtarudin RS Pharmacy and materia medica TJ Mechanical engineering and machinery TS Manufactures Parameter estimation poses a significant challenge in developing patient-specific cardiovascular models. This study presents a framework that enhances parameter estimation in lumped parameter cardiovascular models by combining sensitivity analysis for parameter selection with multi-objective genetic algorithm optimization. Four key parameters were identified as the most influential and subsequently optimized. Model outputs, specifically mean arterial pressure (MAP), were validated against clinical values from a public database. The optimized model’s MAP demonstrated a strong correlation with clinical MAP (r = 0.99997, p < 0.001), and a t-test analysis (p = 0.752) confirmed statistical equivalence with clinical data. This approach highlights the potential of sensitivity analysis and genetic algorithms to improve accuracy in patient-specific cardiovascular modelling. Taylor and Francis Ltd. 2025 Article PeerReviewed pdf en https://umpir.ump.edu.my/id/eprint/45299/1/Sensitivity%20analysis%20and%20optimization%20of%20a%20cardiovascular%20lumped.pdf Siti Munirah, Muhammad Ali and El-Bouri, Wahbi and Wan Naimah, Wan Ab Naim and Mohd Jamil, Mohamed Mokhtarudin (2025) Sensitivity analysis and optimization of a cardiovascular lumped parameter model for patient-specific modelling. Computer Methods in Biomechanics and Biomedical Engineering. pp. 1-19. ISSN 1025-5842. (Published) https://doi.org/10.1080/10255842.2025.2525980 https://doi.org/10.1080/10255842.2025.2525980 https://doi.org/10.1080/10255842.2025.2525980 |
| spellingShingle | RS Pharmacy and materia medica TJ Mechanical engineering and machinery TS Manufactures Siti Munirah, Muhammad Ali El-Bouri, Wahbi Wan Naimah, Wan Ab Naim Mohd Jamil, Mohamed Mokhtarudin Sensitivity analysis and optimization of a cardiovascular lumped parameter model for patient-specific modelling |
| title | Sensitivity analysis and optimization of a cardiovascular lumped parameter model for patient-specific modelling |
| title_full | Sensitivity analysis and optimization of a cardiovascular lumped parameter model for patient-specific modelling |
| title_fullStr | Sensitivity analysis and optimization of a cardiovascular lumped parameter model for patient-specific modelling |
| title_full_unstemmed | Sensitivity analysis and optimization of a cardiovascular lumped parameter model for patient-specific modelling |
| title_short | Sensitivity analysis and optimization of a cardiovascular lumped parameter model for patient-specific modelling |
| title_sort | sensitivity analysis and optimization of a cardiovascular lumped parameter model for patient-specific modelling |
| topic | RS Pharmacy and materia medica TJ Mechanical engineering and machinery TS Manufactures |
| url | https://umpir.ump.edu.my/id/eprint/45299/ https://umpir.ump.edu.my/id/eprint/45299/ https://umpir.ump.edu.my/id/eprint/45299/ |