ArticleAnnals of biomedical engineering2026
Automatic Speed Modulation Based on Real-Time Cardiac Activity Monitoring for a Next-Generation LVAD.
Article in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
purposeModern left ventricular assist devices (LVADs) remain associated with driveline infections and insufficient responsiveness to patient activity demands. Transitioning to wireless charging presents an opportunity to mitigate driveline infections, but using wireless charging systems and implanted battery storage necessitates reducing the LVAD's power consumption. To address these challenges, a real-time automatic speed modulation control algorithm was developed that adjusts pump speed based solely on the energy required to maintain the LVAD's magnetic levitation balance, obviating the need for additional sensors. This metric serves as a surrogate for patient activity state, enabling automatic pump speed modulation in response to changes in demand.
methodsThe algorithm was implemented and tested in a previously validated numerical mock circulatory loop (nMCL) coupled with a detailed LVAD model that accurately represents real-life magnetic levitation physics and control dynamics.
resultsComparative simulations of patient models with and without the automatic speed modulation showed that, during exercise, the controller-enhanced model achieved greater circulatory support, whereas during sleep, reduced pump speeds did not compromise hemodynamic output.
conclusionThese results indicate that the proposed control strategy not only optimizes energy usage-extending battery life and supporting wireless charging-but also confers physiological benefits by adjusting pump performance to meet varying patient demands. Furthermore, this work provides a promising framework for improving LVAD functionality and patient outcomes, with potential implications for future device design and clinical implementation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.