A cardiovascular simulator tailored for training and clinical uses

Abstract

The cardiovascular simulator could be of value in clinical arena. Clinicians and students can utilize the Pre-Set Diseases module for training and to get an overall knowledge of the pathophysiology of common cardiovascular diseases. The Self-Tuning module is prospected as a useful tool to visualize patient's status, test different therapies and get more information about specific hemodynamic conditions. In this sense, the simulator, in conjunction with SDSS, constitutes a support to clinical decision - making.

Circulatory Modelling as a Clinical Decision Support and an Educational Tool

“…Each block presented in the figure contains several modules that can be assembled and used according to specific needs. Among others, the modules sketched in Fig.1 contain a complex of simpler models of systemic and pulmonary circulation, 7-8 models of congenital heart defects 9 and of surgical procedures, 10 interfaces to respiratory models, now under development, models of heart assist devices (LVAD, RVAD, BVAD, IABP, BIV pacing), [11][12][13] models of autonomic controls (in this moment baroreflex and metabolic controls, the second one under development), 8,14 and interfaces for educational use of the platform. 8 The polymorphism of the structure has been achieved through implementation of the concept of hybrid modelling, [15][16][17][18][19] in cooperation with the Nałecz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Science.…”

“…The heterogeneity of clinical data has been considered in developing the algorithm: it is conceived to adapt itself to the patient's status with different levels of confidence, depending on the available data and their accuracy. 8 The models are conceived to take into account the heterogeneity of clinical data: they can be set using different type of data both from catheterization and from echo. 19,21,22 Finally, the educational functionalities rely on a pathology random generator, on a set of therapies (drugs, total blood volume control, mechanical circulatory assistance) and, additionally, on a remote control feature 8 to use the modelling platform within a learning management system.…”

“…This approach to modelling is based on lumped parameters models (LPM) [4][5][6][7][8] as they have the prerequisites needed for a daily clinical application: fast response, simplicity of use, reliability and easiness to be modified or re-adapted. Last but not least, thanks to their intrinsic simplicity, it is possible to tune LPMs using routinely acquired clinical data.…”

“…The Table 1 below summarizes the applications. Congenital heart disease C/R Computational Y [9] Paediatric VAD C/R Computational/Hybrid Y [19], [21], [22] Educational Application E Computational/Hybrid Y [8] Usage Legend: C-Clinical support, R-Research, E-Education…”

Control of a Pediatric Pulsatile Ventricular Assist Device: A Hybrid Cardiovascular Model Study

“…The results are therefore the output of the simulator, even if the model has been shown able to reproduce patient's data in different conditions (12,15), both in the case of pediatric and adult patients. The results are therefore the output of the simulator, even if the model has been shown able to reproduce patient's data in different conditions (12,15), both in the case of pediatric and adult patients.…”