Evidence map›Paper›PMID 28567129›Full record

ArticleThe open biomedical engineering journal2017

Noninvasive Fetal Electrocardiography Part II: Segmented-Beat Modulation Method for Signal Denoising.

Angela Agostinelli, Agnese Sbrollini, Luca Burattini, Sandro Fioretti, Francesco Di Nardo, Laura Burattini

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Article in The open biomedical engineering journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Angela AgostinelliDepartment of Information Engineering, Università Politecnica delle Marche, Ancona, Italy.
Agnese SbrolliniDepartment of Information Engineering, Università Politecnica delle Marche, Ancona, Italy.
Luca BurattiniDepartment of Clinical Sciences, Università Politecnica delle Marche, Ancona, Italy.
Sandro FiorettiDepartment of Information Engineering, Università Politecnica delle Marche, Ancona, Italy.
Francesco Di NardoDepartment of Information Engineering, Università Politecnica delle Marche, Ancona, Italy.
Laura BurattiniDepartment of Information Engineering, Università Politecnica delle Marche, Ancona, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFetal well-being evaluation may be accomplished by monitoring cardiac activity through fetal electrocardiography. Direct fetal electrocardiography (acquired through scalp electrodes) is the gold standard but its invasiveness limits its clinical applicability. Instead, clinical use of indirect fetal electrocardiography (acquired through abdominal electrodes) is limited by its poor signal quality.

objectiveAim of this study was to evaluate the suitability of the Segmented-Beat Modulation Method to denoise indirect fetal electrocardiograms in order to achieve a signal-quality at least comparable to the direct ones.

methodDirect and indirect recordings, simultaneously acquired from 5 pregnant women during labor, were filtered with the Segmented-Beat Modulation Method and correlated in order to assess their morphological correspondence. Signal-to-noise ratio was used to quantify their quality.

resultsAmplitude was higher in direct than indirect fetal electrocardiograms (median:104 µV

conclusionSegmented-Beat Modulation Method is particularly useful for denoising of indirect fetal electrocardiogram and may contribute to the spread of this noninvasive technique in the clinical practice.

Indexed as

Abdominal fetal electrocardiographyDigital electrocardiographyDirect fetal electrocardiographyFetal monitoringNonlinear filteringSegmented-beat modulation method

Identifiers

PMID28567129
PMCPMC5418918

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