Evidence map›Paper›PMID 40814312›Full record

ArticleIEEE transactions on control systems technology : a publication of the IEEE Control Systems Society2025

Multiple Model Predictive Control of the Cardiovascular System using Vagal Nerve Stimulation.

Yuyu Yao, Mayuresh V Kothare

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in IEEE transactions on control systems technology : a publication of the IEEE Control Systems Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Yuyu YaoDepartment of Chemical and Biomolecular Engineering, Lehigh University, Bethlehem, PA 18015 USA.
Mayuresh V KothareDepartment of Chemical and Biomolecular Engineering, Lehigh University, Bethlehem, PA 18015 USA.

Funding

CONTROL-CORE: A Modular Simulation Environment for Design and Prototyping of Closed-loop Peripheral Neuromodulation Control Systems using the O2S2PARC PlatformOT2OD030535 · OD · EMORY UNIVERSITY · PI KOTHARE, MAYURESH V, MAHMOUDI, BABAK · 2020 to 2021
$2.2M
NIH HHS OT2 OD030535
6 · The paper itself

Abstract

Vagal nerve stimulation (VNS) is currently under investigation for the treatment of various cardiovascular diseases that include heart failure, arrhythmia, and hypertension. In preclinical and clinical studies, VNS stimulation parameters are heuristically determined in open-loop. But its therapeutic efficacy remains inconclusive, strongly suggesting the need for a closed-loop approach to optimize patient-specific stimulation parameters. In this paper, we develop a multiple model predictive control algorithm for automated regulation of heart rate and mean arterial pressure by optimally adjusting the amplitude and frequency of electrical pulses applied to three locations of the vagal nerve. The multiple local models are identified from our previously reported pulsatile rat cardiac model that emulates symptoms of hypertension in rest and exercise states. The computational expense of the proposed method is verified in simulation with rigorous hardware-in-the-loop implementation.

Indexed as

adaptive controlcardiovascular systemModel Predictive Controlmultiple model controlnonlinear optimizationperipheral stimulationVagal Nerve StimulationVNS

Identifiers

PMID40814312
PMCPMC12346327

What OpenQuestion holds

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Registered trials

None linked

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.