Evidence map›Paper›PMID 35254970›Full record

ArticleIEEE transactions on bio-medical engineering2022

Hybrid Mock Circulatory Loop Simulation of Extreme Cardiac Events.

Ethan S Rapp, Suraj R Pawar, Raul G Longoria

Open access · greenAbstract read
In one paragraph

Article in IEEE transactions on bio-medical engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
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

5 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Technological evolution ofFrontiers in physiology · 2025
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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

3 authors at 1 institution in 1 country.

Ethan S Rapp
Suraj R Pawar
Raul G Longoria
Walker (United States) · US

Funding

Pediatric Implantable Low-Shear Pulsatile Blood Pump with Physiologic Sensing and ControlR44HL142432 · NHLBI · WINDMILL CARDIOVASCULAR SYSTEMS, INC. · PI GOHEAN, JEFFREY ROBERT, LONGORIA, RAUL G · 2018 to 2020
$1.7M
NHLBI NIH HHS R44 HL142432
6 · The paper itself

Abstract

objectiveThis paper presents preliminary methods of incorporating the pathological conditions of cardiac arrhythmias and valvular stenosis in hybrid mock circulation loop (hMCL) operation for the enhanced verification and validation of mechanical circulatory support devices such as VADs.

methodsThe MGH/MF Waveform datasets from PhysioNet database (including both nominal and clinically diagnosed arrhythmic ECG measurements) as well as cardiovascular system model updates are used to recreate arrhythmic events and valvular stenosis in vitro.

resultsPreliminary results show the hMCL can recreate each tested cardiac event within 2% and 4% mean error for reference pressure tracking in the aortic and left ventricular pressure chambers, respectively. Further, frequency spectrum analysis comparisons using the magnitude-squared coherence analysis shows close alignment between measured arrhythmic and hMCL realized pressure frequency content.

conclusionThe generation of cardiac arrhythmias and valvular stenosis around a VAD via both model and acute measurement based methods was achieved. SIGNIFICANCE: Pathological conditions such as cardiac arrhythmias and valvular stenosis are limited in documentation despite the large percentage of patients who experience these events. This paper provides a means to begin incorporating these events into hardware-in-the-loop mock circulatory systems for next generation VAD validation and verification.

Indexed as

Heart-Assist DevicesAortaArrhythmias, CardiacConstriction, PathologicHemodynamicsHumansModels, Cardiovascular

Identifiers

PMID35254970
PMCPMC9466991
OpenAlexW4220702141

What OpenQuestion holds

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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.