Sistema de controle para diagnóstico e tratamento de falhas em dispositivos de assistência ventricular.

Cavalheiro, André César Martins

doi:10.11606/t.3.2013.tde-19092014-102819

Cited by 1 publication

(3 citation statements)

References 38 publications

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“…Numerical results of physical VAD supervisory control system simulation were obtained. Once the modeling and validation of the VAD's control algorithm is performed using HPN and the model is converted to the microcontroller programming language using the procedure of replacing each element of the HPN by elements of the Ladder diagram [24], it enables the implementation of the system and in vitro computational validation, providing an implementation of the device control within a cardiac simulator to validate the computational model. To this end, this algorithm is implemented in the hardware architecture proposed in Figure 9, modeled using the Proteus Design Suite ® software.…”

Section: Numerical Simulationmentioning

confidence: 99%

“…Every effect considered is converted to a node of a BN. Then, following the procedures proposed in [24] this fault diagnosis network can be converted into a PN control model.…”

mentioning

confidence: 99%

“…Control Algorithm Design-To generate the control algorithm, the validated PN models are translated to a Programmable Controller language following the rules proposed in [24] to generate the control program according to IEC 61131-3 [26] standard.…”

mentioning

confidence: 99%

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Safety Control Architecture for Ventricular Assist Devices

et al. 2021

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In patients with severe heart disease, the implantation of a ventricular assist device (VAD) may be necessary, especially in patients with an indication for heart transplantation. For this, the Institute Dante Pazzanese of Cardiology (IDPC) has developed an implantable centrifugal blood pump that will be able to help a diseased human heart to maintain physiological blood flow and pressure. This device will be used as a totally or partially implantable VAD. Therefore, performance assurance and correct specification of the VAD are important factors in achieving a safe interaction between the device and the patient’s behavior or condition. Even with reliable devices, some failures may occur if the pumping control does not keep up with changes in the patient’s behavior or condition. If the VAD control system has no fault tolerance and no system dynamic adaptation that occurs according to changes in the patient’s cardiovascular system, a number of limitations can be observed in the results and effectiveness of these devices, especially in patients with acute comorbidities. This work proposes the application of a mechatronic approach to this class of devices based on advanced control, instrumentation, and automation techniques to define a method to develop a hierarchical supervisory control system capable of dynamically, automatically, and safely VAD control. For this methodology, concepts based on Bayesian networks (BN) were used to diagnose the patient’s cardiovascular system conditions, Petri nets (PN) to generate the VAD control algorithm, and safety instrumented systems to ensure the safety of the VAD system.

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Section: Numerical Simulationmentioning

confidence: 99%

“…Every effect considered is converted to a node of a BN. Then, following the procedures proposed in [24] this fault diagnosis network can be converted into a PN control model.…”

mentioning

confidence: 99%