Evidence map›Paper›PMID 21930216›Full record

ArticleNeuroImage2012

Removal of interference from fetal MEG by frequency dependent subtraction.

J Vrba, J McCubbin, R B Govindan, S Vairavan, P Murphy, H Preissl, C L Lowery, H Eswaran

Abstract read
In one paragraph

Article in NeuroImage, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Magnetomyographic Recordings of Pelvic Floor Activity During Pregnancy and Postpartum: A Novel Non-invasive Approach.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2019
    Article
  9. Article
  10. Article
  11. Separation of Physiological Signals Using Minimum Norm Projection Operators.IEEE transactions on bio-medical engineering · 2017
    Article
  12. Article
  13. Genetic algorithms for dipole location of fetal magnetocardiography.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2016
    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

8 authors.

J VrbaDepartment of Obstetrics and Gynecology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA. jvrba@shaw.ca
J McCubbin
R B Govindan
S Vairavan
P Murphy
H Preissl
C L Lowery
H Eswaran

Funding

FETAL MAGNETOENCEPHALOGRAPHY AND EVOKED POTENTIALSR01NS036277 · NINDS · UNIV OF ARKANSAS FOR MED SCIS · PI LOWERY, CURTIS L · 1998 to 2011
$7.0M
Development of Analysis Tools to Enhance Fetal Neurological AssessmentR01EB007826 · NIBIB · UNIV OF ARKANSAS FOR MED SCIS · PI ESWARAN, HARI · 2007 to 2013
$1.4M
NIBIB NIH HHS R01 EB007826NIBIB NIH HHS R01EB007826NINDS NIH HHS R01 NS036277NINDS NIH HHS R01NS036277
6 · The paper itself

Abstract

Fetal magnetoencephalography (fMEG) recordings are contaminated by maternal and fetal magnetocardiography (MCG) signals and by other biological and environmental interference. Currently, all methods for the attenuation of these signals are based on a time-domain approach. We have developed and tested a frequency dependent procedure for removal of MCG and other interference from the fMEG recordings. The method uses a set of reference channels and performs subtraction of interference in the frequency domain (SUBTR). The interference-free frequency domain signals are converted back to the time domain. We compare the performance of the frequency dependent approach with our present approach for MCG attenuation based on orthogonal projection (OP). SUBTR has an advantage over OP and similar template approaches because it removes not only the MCG but also other small amplitude biological interference, avoids the difficulties with inaccurate determination of the OP operator, provides more consistent and stable fMEG results, does not cause signal redistribution, and if references are selected judiciously, it does not reduce fMEG signal amplitude. SUBTR was found to perform well in simulations and on real fMEG recordings, and has a potential to improve the detection of fetal brain signals. The SUBTR removes interference without the need for a model of the individual interference sources. The method may be of interest for any sensor array noise reduction application where signal-free reference channels are available.

Indexed as

Subtraction TechniqueAdultComputer SimulationFemaleFetusFourier AnalysisHumansImage Processing, Computer-AssistedMagnetoencephalographyPregnancyReference Standards

Identifiers

PMID21930216
PMCPMC3254788

What OpenQuestion holds

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LicenceTDM
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.