Evidence map›Paper›PMID 38188700›Full record

ArticleHardwareX2024

Open-source controller for dynamic cardiovascular models.

Muhammad Farooq, Muhammad Riaz Ur Rehman, Patricia Vazquez, William Wijns, Atif Shahzad, Marcin J Kraśny

Open access · goldAbstract read
In one paragraph

Article in HardwareX, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 57% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 1 institution in 2 countries.

Muhammad FarooqSmart Sensors Lab, The Lambe Institute for Translational Medicine, School of Medicine, College of Medicine, Nursing and Health Sciences, University of Galway, Ireland.
Muhammad Riaz Ur RehmanSmart Sensors Lab, The Lambe Institute for Translational Medicine, School of Medicine, College of Medicine, Nursing and Health Sciences, University of Galway, Ireland.
Patricia VazquezSmart Sensors Lab, The Lambe Institute for Translational Medicine, School of Medicine, College of Medicine, Nursing and Health Sciences, University of Galway, Ireland.
William WijnsSmart Sensors Lab, The Lambe Institute for Translational Medicine, School of Medicine, College of Medicine, Nursing and Health Sciences, University of Galway, Ireland.
Atif ShahzadSmart Sensors Lab, The Lambe Institute for Translational Medicine, School of Medicine, College of Medicine, Nursing and Health Sciences, University of Galway, Ireland.
Marcin J KraśnySmart Sensors Lab, The Lambe Institute for Translational Medicine, School of Medicine, College of Medicine, Nursing and Health Sciences, University of Galway, Ireland.
Ollscoil na Gaillimhe – University of Galway · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular pressure sensors require dedicated, reliable, and customisable performance testing equipment. Devices available on the market, such as pulsatile pumps and pulse multipliers, offer limited adaptability to the needs of pressure sensor testing or are highly complex tools designed for other purposes. Therefore, there is a strong need to provide an adaptable and versatile device for characterisation during prototype development, prior to animal model testing. Early development requires detailed characterisation of a sensor performance in a realistic environmental scenario. To address this need, we adapted an off-the-shelf pressure chamber with a custom Arduino-based controller to achieve a rapid change in pressure that simulates the pulsatile profile of human blood pressure. The system is a highly customisable tool, and we have experimentally shown that it works successfully in a wide range of pressures from 30 mmHg to 400 mmHg with a resolution of 2 mmHg. By adjusting the chamber volume using a water balloon, we achieved a cycle rate of up to 120 beats per minute. The device can be operated directly from the Arduino IDE or with a customised graphical user interface developed by our research group. The proposed system is intended to assist other researchers in the development of industrial and biomedical pressure sensors.

Indexed as

Blood pressure phantomFatigue testPressure controllerPulsatile pumpPulse duplicator

Identifiers

PMID38188700
PMCPMC10767264
OpenAlexW4389619478

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.