Evidence map›Paper›PMID 42862539›Full record

ArticleMedical & biological engineering & computing2026

Implementation of the first practical automatic micropulse blood pressure measurement device using the published revolutionary Newcastle technique.

Alan Murray, Dingchang Zheng, Clive J Griffiths, Chengyu Liu, David J Graham, Jeffrey Neasham, Adrian J Cossor

Abstract read
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In one paragraph

Article in Medical & biological engineering & computing, 2026. 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
–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

0 citing papers in PubMed.

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

7 authors.

Alan MurraySchool of Engineering & Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK. alan.murray@ncl.ac.uk.ORCID http://orcid.org/0000-0003-2621-4632
Dingchang ZhengCentre for Healthcare and Community Transformation, Coventry University, Coventry, UK.ORCID http://orcid.org/0000-0001-8077-4548
Clive J GriffithsSchool of Engineering & Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.ORCID http://orcid.org/0009-0000-2919-3975
Chengyu LiuSchool of Instrument Science and Engineering, Southeast University, Nanjing, China.ORCID http://orcid.org/0000-0003-1965-3020
David J GrahamSchool of Engineering, Newcastle University, Newcastle upon Tyne, UK.
Jeffrey NeashamSchool of Engineering, Newcastle University, Newcastle upon Tyne, UK.ORCID http://orcid.org/0000-0001-6059-9826
Adrian J CossorAC Cossor & Son (Technology) Ltd, Anstey Bury, Anstey, Buntingford, UK.

Funding

Engineering and Physical Sciences Research Council EP/1027270/1Engineering and Physical Sciences Research Council EP/N025342/1
6 · The paper itself

Abstract

True accuracy for blood pressure measurement devices is required, but current techniques only estimate, deriving measurements from various private sets of clinical measurements. We previously reported a new technique that detects micropulse arterial opening, present only for beats between systole and diastole, enabling direct determination of systolic and diastolic blood pressures (SBP & DBP). We have now developed a first automated device using our technique and have compared its accuracy with current gold standard auscultatory measurements in 32 subjects. The differences between our novel device and simultaneous auscultatory measurements were for SBP -2.5 ± 3.1 mmHg, and for DBP -1.0 ± 1.2 mmHg (mean ± standard deviation SD). Results were well within the clinical international standard's limits of 5 ± 8 mmHg.

Indexed as

Blood pressure measurementsClinical diagnostic measurementMedical deviceMicropulse technique

Identifiers

PMID42862539

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.