Evidence map›Paper›PMID 24660020›Full record

ReviewComputational and mathematical methods in medicine2014

Fetal ECG extraction from abdominal signals: a review on suppression of fundamental power line interference component and its harmonics.

Dragoş-Daniel Ţarălungă, Georgeta-Mihaela Ungureanu, Ilinca Gussi, Rodica Strungaru, Werner Wolf

Abstract readReview
In one paragraph

Review in Computational and mathematical methods in medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
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.

Dragoş-Daniel ŢarălungăApplied Electronics and Information Engineering Department, Politehnica University of Bucharest, 061071 Bucharest, Romania.
Georgeta-Mihaela UngureanuApplied Electronics and Information Engineering Department, Politehnica University of Bucharest, 061071 Bucharest, Romania.
Ilinca GussiUniversity of Medicine and Pharmacy Carol Davila, 050474 Bucharest, Romania.
Rodica StrungaruApplied Electronics and Information Engineering Department, Politehnica University of Bucharest, 061071 Bucharest, Romania.
Werner WolfInstitut für Infomationstechnik, Universität der Bundeswehr München, 85577 Neubiberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interference of power line (PLI) (fundamental frequency and its harmonics) is usually present in biopotential measurements. Despite all countermeasures, the PLI still corrupts physiological signals, for example, electromyograms (EMG), electroencephalograms (EEG), and electrocardiograms (ECG). When analyzing the fetal ECG (fECG) recorded on the maternal abdomen, the PLI represents a particular strong noise component, being sometimes 10 times greater than the fECG signal, and thus impairing the extraction of any useful information regarding the fetal health state. Many signal processing methods for cancelling the PLI from biopotentials are available in the literature. In this review study, six different principles are analyzed and discussed, and their performance is evaluated on simulated data (three different scenarios), based on five quantitative performance indices.

Indexed as

Signal Processing, Computer-AssistedAlgorithmsArtifactsComputational BiologyComputer SimulationElectrocardiographyElectroencephalographyFemaleFetal MonitoringHumansNeural Networks, ComputerPregnancyWavelet Analysis

Identifiers

PMID24660020
PMCPMC3934549

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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.