Optimal assist strategy exploration for a direct assist device under stress‒strain dynamics
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Li Zijian
,
Zhu Fenglian
Abstract
Objectives
The aim of this paper is to introduce a new assist strategy for a direct assist device that can enhance the heart’s pumping efficiency and decrease the chances of myocardial injury in contrast to the conventional assist strategy.
Methods
We established a finite element model of a biventricular heart, divided the ventricles into several regions, and applied pressure to each region separately in order to identify the primary and secondary assist areas. Then combined and tested these areas to obtain the optimal assist strategy.
Results
The results indicate that our method exhibits an assist efficiency approximately ten times higher than that of the traditional assist method. Additionally, the stress distribution in the ventricles is more uniform after assistance.
Conclusions
In summary, this approach can result in a more homogenous stress distribution within the heart while also minimizing the contact area with it, which can reduce the incidence of allergic reactions and the likelihood of myocardial injury.
Funding source: National Natural Science Foundation of China
Award Identifier / Grant number: 51677082
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Research funding: Supported by the National Natural Science Foundation of China (51677082).
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Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Competing interests: Authors state no conflict of interest.
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Informed consent: Informed consent was obtained from all individuals included in this study.
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Ethical approval: The local Institutional Review Board deemed the study exempt from review.
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Articles in the same Issue
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- The impact of right ventricular hemodynamics on the performance of a left ventricular assist device in a numerical simulation model
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Articles in the same Issue
- Frontmatter
- Review
- Research frontiers of electroporation-based applications in cancer treatment: a bibliometric analysis
- Research Articles
- Deep neural network to differentiate internet gaming disorder from healthy controls during stop-signal task: a multichannel near-infrared spectroscopy study
- A low power respiratory sound diagnosis processing unit based on LSTM for wearable health monitoring
- Effective deep learning classification for kidney stone using axial computed tomography (CT) images
- De- and recellularized urethral reconstruction with autologous buccal mucosal cells implanted in an ovine animal model
- The impact of right ventricular hemodynamics on the performance of a left ventricular assist device in a numerical simulation model
- Optimal assist strategy exploration for a direct assist device under stress‒strain dynamics
- Revisiting SFA stent technology: an updated overview on mechanical stent performance
- Parameter-based patient-specific restoration of physiological knee morphology for optimized implant design and matching
- Influences of smart glasses on postural control under single- and dual-task conditions for ergonomic risk assessment
