Dynamic characteristic modeling of left ventricular assist devices based on hysteresis effects

Li, Shulei; Jin, Donghai; Gui, Xingmin

doi:10.1016/j.compbiomed.2023.106737

Cited by 2 publications

(1 citation statement)

References 39 publications

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“…In this study, the hysteresis effect relative to the steady state condition is ignored for computational purposes, which may create mistakes. A hysteresis model can be introduced into the system model of the cardiovascular-LVAD system, according to the classical theory of impeller transient response , which may be a solution to address the dynamic characteristics of the PLVAD in the coupled operating state with the cardiovascular system (Li et al 2023). Alternatively, from the mechanical circulatory aid device signals, a hysteresis model might be developed to offer a continuous indicator of changes in cardiac state (Chang et al 2021).…”

Section: Discussionmentioning

confidence: 99%

Real-time regurgitation estimation in percutaneous left ventricular assist device fully supported condition using an unscented Kalman filter

Yin,

Wen,

Xie

et al. 2024

Physiol. Meas.

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Objective. Significant aortic regurgitation is a common complication following left ventricular assist device (LVAD) intervention, and existing studies have not attempted to monitor regurgitation signals and undertake preventive measures during full support. Regurgitation is an adverse event that can lead to inadequate left ventricular unloading, insufficient peripheral perfusion, and repeated episodes of heart failure. Moreover, regurgitation occurring during full support due to pump position displacement cannot be directly controlled through control algorithms. Therefore, accurate estimation of regurgitation during percutaneous left ventricular assist device (PLVAD) full support is critical for clinical management and patient safety. Approach. An estimation system based on the regurgitation model is built in this paper, and the unscented Kalman filter estimator (UKF) is introduced as an estimation approach. Three offset degrees and three heart failure states are considered in the investigation. Using the mock circulatory loop (MCL) experimental platform, compare the regurgitation estimated by the UKF algorithm with the actual measured regurgitation; the errors are analyzed using standard confidence intervals of ±2 SDs, and the effectiveness of the mentioned algorithms is thus assessed. The generalization ability of the proposed algorithm is verified by setting different heart failure conditions and different rotational speeds. The root mean square error and correlation coefficient between the estimated and actual values are quantified and the source of the error is illustrated using one-way analysis of variance(One-Way ANOVA), which in turn assessed the accuracy and stability of the UKF algorithm. Main results. The research findings demonstrate that the regurgitation estimation system based on the regurgitation model and UKF can relatively accurately estimate the regurgitation status of patients during PLVAD full support, but the effect of cardiac contractility on the estimation accuracy still needs to be taken into account. Significance. The proposed estimation method in this study provides essential reference information for clinical practitioners, enabling them to promptly manage potential complications arising from regurgitation. By sensitively detecting LVAD adverse events, valuable insights into the performance and reliability of the LVAD device can be obtained, offering crucial feedback and data support for device improvement and optimization.

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Section: Discussionmentioning

confidence: 99%

Real-time regurgitation estimation in percutaneous left ventricular assist device fully supported condition using an unscented Kalman filter

Yin,

Wen,

Xie

et al. 2024

Physiol. Meas.

View full text Add to dashboard Cite

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Dynamic modeling of variable speed left ventricular assist devices coupled to the cardiovascular system

Su,

Li,

Gui

et al. 2024

Int J Artif Organs

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Background: Most of the modeling of the Left Ventricular Assist Devices (LVADs) coupled with the cardiovascular system is based on the assumption of constant rotational speed. Compared with the traditional inertial model, the validated hysteresis model can take into account the unsteady characteristics of LVADs, but it fails to work under the condition of variable speed modulation. Method: This study takes into consideration the impact of speed variations on the unsteady hysteresis effects. The time constant in the hysteresis model is treated as a time-varying parameter, thereby developing a new model applicable to variable speed modulation. Under sinusoidal speed modulation at various phases, a comparative analysis was undertaken among the steady-state model, inertial model, and the new model. Transient Computational Fluid Dynamics (CFD) simulations and existing experimental results are used for validation. Results: The new model provides a more accurate method for the predicting the characteristics of LVAD in the coupled model under varying pump speeds, and exhibits higher linearity in the work done by the left ventricle and the blood pump, and [Formula: see text], which is aligning closely with the experimental results. This enhancement renders it applicable for proactive control predictions and passive control validations.

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Dynamic characteristic modeling of left ventricular assist devices based on hysteresis effects

Cited by 2 publications

References 39 publications

Real-time regurgitation estimation in percutaneous left ventricular assist device fully supported condition using an unscented Kalman filter

Real-time regurgitation estimation in percutaneous left ventricular assist device fully supported condition using an unscented Kalman filter

Dynamic modeling of variable speed left ventricular assist devices coupled to the cardiovascular system

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