TY - GEN
T1 - Simulator for simulating and monitoring the hypotensive patients blood pressure response of phenylephrine bolus injection and infusion with open-loop and closedloop treatment
AU - Cao, Guoyan
AU - Luspay, Tomas
AU - Ebrahimi, Behrouz
AU - Grigoriadis, Karolos
AU - Franchek, Matthew
AU - Marques, Nicole
AU - Wolf, Jordan
AU - Kramer, George
N1 - Publisher Copyright:
© 2017 ACM.
PY - 2017/1/20
Y1 - 2017/1/20
N2 - In this paper, we introduce a model-based simulator for hypotensive patients' blood pressure response to vasopressor drug phenylephrine (PHP) delivery. The simulator is designed based on a model of the mean arterial pressure (MAP) response to PHP infusion. The model is data-driven learning model which is illustrated to be adequately describing inter -And intra patients' response to PHP. In the simulator, besides open loop operation, such as manual PHP bolus injection and continuous infusion, a closed-loop control module is also designed, including an antiwindup PI controller, an adaptive controller and an empirical controller, to regulate the blood pressure at target level and maintain hemodynamic stability in hypotensive patients. In addition, three frequent scenarios happened in clinical treatment are modeled in challenge module. They are sodium nitroprusside (SNP) treatment, baseline pressure drop and hemorrhage. The simulator can be operated with two different interfaces; one is the MPA trend response interface and the other is real-Time monitoring interface. The real-Time monitoring is real-Time synchronization presenting blood pressure waves, heart rate and EtCO2 waves under open and closed-loop treatment. The simulator is capable to train the doctors on the dose of PHP usage for the hypotensive patients with different challenges during the treatment.
AB - In this paper, we introduce a model-based simulator for hypotensive patients' blood pressure response to vasopressor drug phenylephrine (PHP) delivery. The simulator is designed based on a model of the mean arterial pressure (MAP) response to PHP infusion. The model is data-driven learning model which is illustrated to be adequately describing inter -And intra patients' response to PHP. In the simulator, besides open loop operation, such as manual PHP bolus injection and continuous infusion, a closed-loop control module is also designed, including an antiwindup PI controller, an adaptive controller and an empirical controller, to regulate the blood pressure at target level and maintain hemodynamic stability in hypotensive patients. In addition, three frequent scenarios happened in clinical treatment are modeled in challenge module. They are sodium nitroprusside (SNP) treatment, baseline pressure drop and hemorrhage. The simulator can be operated with two different interfaces; one is the MPA trend response interface and the other is real-Time monitoring interface. The real-Time monitoring is real-Time synchronization presenting blood pressure waves, heart rate and EtCO2 waves under open and closed-loop treatment. The simulator is capable to train the doctors on the dose of PHP usage for the hypotensive patients with different challenges during the treatment.
KW - Blood pressure dynamic modeling
KW - Closedloop infusion
KW - Hypotensive patient
KW - Phenylephrine drug delivery
KW - Real-Time monitoring
KW - Simulator
UR - http://www.scopus.com/inward/record.url?scp=85021407308&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85021407308&partnerID=8YFLogxK
U2 - 10.1145/3036331.3036341
DO - 10.1145/3036331.3036341
M3 - Conference contribution
AN - SCOPUS:85021407308
T3 - ACM International Conference Proceeding Series
SP - 175
EP - 181
BT - Proceedings of the 8th International Conference on Computer Modeling and Simulation, ICCMS 2017
PB - Association for Computing Machinery
T2 - 8th International Conference on Computer Modeling and Simulation, ICCMS 2017
Y2 - 20 January 2017 through 23 January 2017
ER -