Literature DB >> 28900761

A Novel Multi-objective Physiological Control System for Rotary Left Ventricular Assist Devices.

Anastasios Petrou1, Marcial Monn1, Mirko Meboldt1, Marianne Schmid Daners2.   

Abstract

Various control and monitoring algorithms have been proposed to improve the left-ventricular assist device (LVAD) therapy by reducing the still-occurring adverse events. We developed a novel multi-objective physiological control system that relies on the pump inlet pressure (PIP). Signal-processing algorithms have been implemented to extract the required features from the PIP. These features then serve for meeting various objectives: pump flow adaptation to the perfusion requirements, aortic valve opening for a predefined time, augmentation of the aortic pulse pressure, and monitoring of the LV pre- and afterload conditions as well as the cardiac rhythm. Controllers were also implemented to ensure a safe operation and prevent LV suction, overload, and pump backflow. The performance of the control system was evaluated in vitro, under preload, afterload and contractility variations. The pump flow adapted in a physiological manner, following the preload changes, while the aortic pulse pressure yielded a threefold increase compared to a constant-speed operation. The status of the aortic valve was detected with an overall accuracy of 86% and was controlled as desired. The proposed system showed its potential for a safe physiological response to varying perfusion requirements that reduces the risk of myocardial atrophy and offers important hemodynamic indices for patient monitoring during LVAD therapy.

Entities:  

Keywords:  Aortic valve opening control; Backflow; Hybrid mock circulation; Monitoring; Overload; Physiological control; Pressure sensor; Pulsatile speed modulation; Suction

Mesh:

Year:  2017        PMID: 28900761     DOI: 10.1007/s10439-017-1919-0

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  5 in total

1.  An Intra-Cycle Optimal Control Framework for Ventricular Assist Devices Based on Atrioventricular Plane Displacement Modeling.

Authors:  Clemens Zeile; Thomas Rauwolf; Alexander Schmeisser; Jeremi Kaj Mizerski; Rüdiger C Braun-Dullaeus; Sebastian Sager
Journal:  Ann Biomed Eng       Date:  2021-09-21       Impact factor: 3.934

2.  Physiologic Data-Driven Iterative Learning Control for Left Ventricular Assist Devices.

Authors:  Konstantinos Magkoutas; Philip Arm; Mirko Meboldt; Marianne Schmid Daners
Journal:  Front Cardiovasc Med       Date:  2022-07-13

3.  A Versatile Hybrid Mock Circulation for Hydraulic Investigations of Active and Passive Cardiovascular Implants.

Authors:  Anastasios Petrou; Marcus Granegger; Mirko Meboldt; Marianne Schmid Daners
Journal:  ASAIO J       Date:  2019-07       Impact factor: 2.872

4.  A Novel Control Method for Rotary Blood Pumps as Left Ventricular Assist Device Utilizing Aortic Valve State Detection.

Authors:  Dmitry Petukhov; Leonie Korn; Marian Walter; Dmitry Telyshev
Journal:  Biomed Res Int       Date:  2019-12-11       Impact factor: 3.411

5.  Control Strategy Design of a Microblood Pump Based on Heart-Rate Feedback.

Authors:  Teng Jing; Tianye Xin; Fangqun Wang; Zhihao Zhang; Ling Zhou
Journal:  Micromachines (Basel)       Date:  2022-02-24       Impact factor: 2.891

  5 in total

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