| Title |
Modelling the cardiovascular system for assessing the blood pressure curve
|
|---|---|
| Published in |
Mathematics-in-Industry Case Studies, April 2017
|
| DOI | 10.1186/s40929-017-0011-1 |
| Pubmed ID | |
| Authors |
T. G. Myers, Vicent Ribas Ripoll, Anna Sáez de Tejada Cuenca, Sarah L. Mitchell, Mark J. McGuinness |
| Abstract |
A four compartment model of the cardiovascular system is developed. To allow for easy interpretation and to minimise the number of parameters, an effort was made to keep the model as simple as possible. Using a standard method (Matlab function fminsearch) to calculate the parameter values led to unacceptable run times or non-convergence. Consequently we developed an algorithm which first finds the most important model parameters and uses these as a basis for a four stage process which accurately determines all parameter values. This process is then applied to data from three ICU patients. Good agreement between the model and measured arterial pressure is demonstrated in all cases. |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 18% |
| Researcher | 6 | 15% |
| Student > Ph. D. Student | 5 | 13% |
| Student > Bachelor | 4 | 10% |
| Student > Doctoral Student | 3 | 8% |
| Other | 7 | 18% |
| Unknown | 8 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 16 | 40% |
| Medicine and Dentistry | 3 | 8% |
| Computer Science | 2 | 5% |
| Agricultural and Biological Sciences | 2 | 5% |
| Neuroscience | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 9 | 23% |