TY - JOUR
T1 - Modeling and simulation of speed selection on left ventricular assist devices
AU - Tzallas, Alexandros T.
AU - Katertsidis, Nikolaos S.
AU - Karvounis, Evaggelos C.
AU - Tsipouras, Markos G.
AU - Rigas, George
AU - Goletsis, Yorgos
AU - Zielinski, Krzysztof
AU - Fresiello, Libera
AU - Molfetta, Arianna Di
AU - Ferrari, Gianfranco
AU - Terrovitis, John V.
AU - Trivella, Maria Giovanna
AU - Fotiadis, Dimitrios I.
N1 - Funding Information:
This work is part funded by the European Commission (SensorART project: “A remote controlled Sensorized ARTificial heart enabling patients empowerment and new therapy approaches”, FP7-248763 ).
PY - 2014/8/1
Y1 - 2014/8/1
N2 - The control problem for LVADs is to set pump speed such that cardiac output and pressure perfusion are within acceptable physiological ranges. However, current technology of LVADs cannot provide for a closed-loop control scheme that can make adjustments based on the patient's level of activity. In this context, the SensorART Speed Selection Module (SSM) integrates various hardware and software components in order to improve the quality of the patients' treatment and the workflow of the specialists. It enables specialists to better understand the patient-device interactions, and improve their knowledge. The SensorART SSM includes two tools of the Specialist Decision Support System (SDSS); namely the Suction Detection Tool and the Speed Selection Tool. A VAD Heart Simulation Platform (VHSP) is also part of the system. The VHSP enables specialists to simulate the behavior of a patient's circulatory system, using different LVAD types and functional parameters. The SDSS is a web-based application that offers specialists with a plethora of tools for monitoring, designing the best therapy plan, analyzing data, extracting new knowledge and making informative decisions. In this paper, two of these tools, the Suction Detection Tool and Speed Selection Tool are presented. The former allows the analysis of the simulations sessions from the VHSP and the identification of issues related to suction phenomenon with high accuracy 93%. The latter provides the specialists with a powerful support in their attempt to effectively plan the treatment strategy. It allows them to draw conclusions about the most appropriate pump speed settings. Preliminary assessments connecting the Suction Detection Tool to the VHSP are presented in this paper.
AB - The control problem for LVADs is to set pump speed such that cardiac output and pressure perfusion are within acceptable physiological ranges. However, current technology of LVADs cannot provide for a closed-loop control scheme that can make adjustments based on the patient's level of activity. In this context, the SensorART Speed Selection Module (SSM) integrates various hardware and software components in order to improve the quality of the patients' treatment and the workflow of the specialists. It enables specialists to better understand the patient-device interactions, and improve their knowledge. The SensorART SSM includes two tools of the Specialist Decision Support System (SDSS); namely the Suction Detection Tool and the Speed Selection Tool. A VAD Heart Simulation Platform (VHSP) is also part of the system. The VHSP enables specialists to simulate the behavior of a patient's circulatory system, using different LVAD types and functional parameters. The SDSS is a web-based application that offers specialists with a plethora of tools for monitoring, designing the best therapy plan, analyzing data, extracting new knowledge and making informative decisions. In this paper, two of these tools, the Suction Detection Tool and Speed Selection Tool are presented. The former allows the analysis of the simulations sessions from the VHSP and the identification of issues related to suction phenomenon with high accuracy 93%. The latter provides the specialists with a powerful support in their attempt to effectively plan the treatment strategy. It allows them to draw conclusions about the most appropriate pump speed settings. Preliminary assessments connecting the Suction Detection Tool to the VHSP are presented in this paper.
KW - Gaussian mixture model
KW - Heart failure
KW - Speed selection
KW - Suction detection
KW - Ventricular assist device
UR - http://www.scopus.com/inward/record.url?scp=84901841698&partnerID=8YFLogxK
U2 - 10.1016/j.compbiomed.2014.04.013
DO - 10.1016/j.compbiomed.2014.04.013
M3 - Article
C2 - 24907416
AN - SCOPUS:84901841698
SN - 0010-4825
VL - 51
SP - 128
EP - 139
JO - Computers in biology and medicine
JF - Computers in biology and medicine
ER -