Evidence map›Paper›PMID 38794005›Full record

ArticleSensors (Basel, Switzerland)2024

Novel Metric for Non-Invasive Beat-to-Beat Blood Pressure Measurements Demonstrates Physiological Blood Pressure Fluctuations during Pregnancy.

David Zimmermann, Hagen Malberg, Martin Schmidt

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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
–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

3 authors.

David ZimmermannInstitute of Biomedical Engineering, TU Dresden, Fetscherstr. 29, 01307 Dresden, Germany.ORCID 0009-0008-0183-7298
Hagen MalbergInstitute of Biomedical Engineering, TU Dresden, Fetscherstr. 29, 01307 Dresden, Germany.
Martin SchmidtInstitute of Biomedical Engineering, TU Dresden, Fetscherstr. 29, 01307 Dresden, Germany.ORCID 0000-0003-4012-0608

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Beat-to-beat (B2B) variability in biomedical signals has been shown to have high diagnostic power in the treatment of various cardiovascular and autonomic disorders. In recent years, new techniques and devices have been developed to enable non-invasive blood pressure (BP) measurements. In this work, we aim to establish the concept of two-dimensional signal warping, an approved method from ECG signal processing, for non-invasive continuous BP signals. To this end, we introduce a novel BP-specific beat annotation algorithm and a B2B-BP fluctuation (B2B-BPF) metric novel for BP measurements that considers the entire BP waveform. In addition to careful validation with synthetic data, we applied the generated analysis pipeline to non-invasive continuous BP signals of 44 healthy pregnant women (30.9 ± 5.7 years) between the 21st and 30th week of gestation (WOG). In line with established variability metrics, a significant increase (

Indexed as

AlgorithmsBlood PressureBlood Pressure DeterminationSignal Processing, Computer-AssistedAdultElectrocardiographyFemaleHeart RateHumansPregnancybeat morphologybeat-to-beat blood pressure acquisitionblood pressure fluctuationnon-invasive biosignalsphysiological behaviorpregnancy

Identifiers

PMID38794005
PMCPMC11125072

What OpenQuestion holds

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Registered trials

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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.