TY - JOUR
T1 - A cardiovascular simulator tailored for training and clinical uses
AU - Fresiello, L.
AU - Ferrari, G.
AU - Di Molfetta, A.
AU - Zieliński, K.
AU - Tzallas, A.
AU - Jacobs, S.
AU - Darowski, M.
AU - Kozarski, M.
AU - Meyns, B.
AU - Katertsidis, N. S.
AU - Karvounis, E. C.
AU - Tsipouras, M. G.
AU - Trivella, M. G.
N1 - Funding Information:
This work was supported by SensorART EU project (No. 248763 ) and by the Marie Curie Scholarship (GA No. PIEF-GA-2013-624296 ). The authors thank the Catholic University of Leuven and CircuLite for providing VAD data.
Publisher Copyright:
© 2015 Elsevier Inc..
PY - 2015/10/1
Y1 - 2015/10/1
N2 - Objective: In the present work a cardiovascular simulator designed both for clinical and training use is presented. Method: The core of the simulator is a lumped parameter model of the cardiovascular system provided with several modules for the representation of baroreflex control, blood transfusion, ventricular assist device (VAD) therapy and drug infusion. For the training use, a Pre-Set Disease module permits to select one or more cardiovascular diseases with a different level of severity. For the clinical use a Self-Tuning module was implemented. In this case, the user can insert patient's specific data and the simulator will automatically tune its parameters to the desired hemodynamic condition.The simulator can be also interfaced with external systems such as the Specialist Decision Support System (SDSS) devoted to address the choice of the appropriate level of VAD support based on the clinical characteristics of each patient. Results: The Pre-Set Disease module permits to reproduce a wide range of pre-set cardiovascular diseases involving heart, systemic and pulmonary circulation. In addition, the user can test different therapies as drug infusion, VAD therapy and volume transfusion. The Self-Tuning module was tested on six different hemodynamic conditions, including a VAD patient condition. In all cases the simulator permitted to reproduce the desired hemodynamic condition with an error < 10%. Conclusions: 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.
AB - Objective: In the present work a cardiovascular simulator designed both for clinical and training use is presented. Method: The core of the simulator is a lumped parameter model of the cardiovascular system provided with several modules for the representation of baroreflex control, blood transfusion, ventricular assist device (VAD) therapy and drug infusion. For the training use, a Pre-Set Disease module permits to select one or more cardiovascular diseases with a different level of severity. For the clinical use a Self-Tuning module was implemented. In this case, the user can insert patient's specific data and the simulator will automatically tune its parameters to the desired hemodynamic condition.The simulator can be also interfaced with external systems such as the Specialist Decision Support System (SDSS) devoted to address the choice of the appropriate level of VAD support based on the clinical characteristics of each patient. Results: The Pre-Set Disease module permits to reproduce a wide range of pre-set cardiovascular diseases involving heart, systemic and pulmonary circulation. In addition, the user can test different therapies as drug infusion, VAD therapy and volume transfusion. The Self-Tuning module was tested on six different hemodynamic conditions, including a VAD patient condition. In all cases the simulator permitted to reproduce the desired hemodynamic condition with an error < 10%. Conclusions: 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.
KW - Cardiovascular simulator
KW - Decision support system
KW - Training tool
KW - Ventricular assist device
KW - n/a OA procedure
UR - http://www.scopus.com/inward/record.url?scp=84949492786&partnerID=8YFLogxK
U2 - 10.1016/j.jbi.2015.07.004
DO - 10.1016/j.jbi.2015.07.004
M3 - Article
C2 - 26173037
AN - SCOPUS:84949492786
SN - 1532-0464
VL - 57
SP - 100
EP - 112
JO - Journal of biomedical informatics
JF - Journal of biomedical informatics
ER -
