Evidence map›Paper›PMID 37766043›Full record

ArticleSensors (Basel, Switzerland)2023

Automatic Calibration of a Device for Blood Pressure Waveform Measurement.

Rafał Siemasz, Krzysztof Tomczuk, Ziemowit Malecha, Piotr Andrzej Felisiak, Artur Weiser

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 59% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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

5 authors at 2 institutions in 1 country.

Rafał SiemaszFaculty of Mechanical and Power Engineering, Wrocław University of Science and Technology, 50-370 Wrocław, Poland.ORCID 0000-0002-8666-1197
Krzysztof TomczukFaculty of Mechanical and Power Engineering, Wrocław University of Science and Technology, 50-370 Wrocław, Poland.ORCID 0000-0003-4882-0043
Ziemowit MalechaFaculty of Mechanical and Power Engineering, Wrocław University of Science and Technology, 50-370 Wrocław, Poland.ORCID 0000-0001-8560-760X
Piotr Andrzej FelisiakFaculty of Mechanical and Power Engineering, Wrocław University of Science and Technology, 50-370 Wrocław, Poland.ORCID 0000-0003-4965-6935
Artur WeiserDepartment of Neurosurgery, Wrocław Medical University, 50-425 Wrocław, Poland.ORCID 0000-0002-6614-7721
Wrocław University of Science and Technology · PLWroclaw Medical University · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article presents a prototype of a new, non-invasive, cuffless, self-calibrating blood pressure measuring device equipped with a pneumatic pressure sensor. The developed sensor has a double function: it measures the waveform of blood pressure and calibrates the device. The device was used to conduct proof-of-concept measurements on 10 volunteers. The main novelty of the device is the pneumatic pressure sensor, which works on the principle of a pneumatic nozzle flapper amplifier with negative feedback. The developed device does not require a cuff and can be used on arteries where cuff placement would be impossible (e.g., on the carotid artery). The obtained results showed that the systolic and diastolic pressure measurement errors of the proposed device did not exceed ±6.6% and ±8.1%, respectively.

Indexed as

Amplifiers, ElectronicBlood Pressure DeterminationArteriesBlood PressureCalibrationHumansblood pressure measurementblood pressure waveformpneumatic sensorsensor calibration

Identifiers

PMID37766043
PMCPMC10536530
OpenAlexW4386885017

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.