Evidence map›Paper›PMID 31886175›Full record

ArticleBioMed research international2019

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

Dmitry Petukhov, Leonie Korn, Marian Walter, Dmitry Telyshev

Abstract read
In one paragraph

Article in BioMed research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Hybrid Mock Circulatory Loop Simulation of Extreme Cardiac Events.IEEE transactions on bio-medical engineering · 2022
    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

4 authors.

Dmitry PetukhovNational Research University of Electronic Technology, Zelenograd 124498, Russia.ORCID https://orcid.org/0000-0002-4189-2194
Leonie KornMedical Information Technology, RWTH Aachen University, Aachen 52074, Germany.ORCID https://orcid.org/0000-0003-2794-0628
Marian WalterMedical Information Technology, RWTH Aachen University, Aachen 52074, Germany.ORCID https://orcid.org/0000-0003-4137-5370
Dmitry TelyshevNational Research University of Electronic Technology, Zelenograd 124498, Russia.ORCID https://orcid.org/0000-0002-4221-9882

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A novel control method for rotary blood pumps is proposed relying on two different objectives: regulation of pump flow in accordance with desired value and the maintenance of partial support with an open aortic valve by the variation of pump speed. The estimation of pump flow and detection of aortic valve state was performed with mathematical models describing the first- and second generation of Sputnik rotary blood pumps. The control method was validated using a cardiovascular system model. The state of the aortic valve was detected with a mean accuracy of 91% for Sputnik 1 and 96.2% for Sputnik 2 when contractility, heart rate, and systemic vascular resistance was changed. In silico results for both pumps showed that the proposed control method can achieve the desired pump flow level and maintain the open state of the aortic valve by periodically switching between two objectives under contractility, heart rate, and systemic vascular resistance changes. The proposed method showed its potential for safe operation without adverse events and for the improvement of chances for myocardial recovery.

Indexed as

Heart-Assist DevicesModels, CardiovascularAortic ValveComputer SimulationEquipment DesignHeart FailureHumansPulsatile FlowVascular Resistance

Identifiers

PMID31886175
PMCPMC6927030

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.