Evidence map›Paper›PMID 30174830›Full record

ArticleBiomedical physics & engineering express2018

Noise cancellation for a whole-head magnetometer-based MEG system in hospital environment.

Limin Sun, Matti S Hämäläinen, Yoshio Okada

Abstract read
In one paragraph

Article in Biomedical physics & engineering express, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 37% of its field
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

5 citing papers in PubMed, 12 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Limin SunDivision of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Boston, Massachusetts 02115, United States of America.ORCID 0000-0002-2004-0777
Matti S HämäläinenHarvard Medical School, Boston, Massachusetts 02115, United States of America.
Yoshio OkadaDivision of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Boston, Massachusetts 02115, United States of America.
Boston Children's Hospital · USHarvard University · US

Funding

Project 4P41EB015896 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2012 to 2018
$9.8M
Device-Independent Acquisition and Real Time Spatiotemporal Analysis of Clinical Electrophysiology DataU01EB023820 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI MOSHER, JOHN COMPTON, OKADA, YOSHIO · 2017 to 2021
$5.8M
NIBIB NIH HHS P41 EB015896NIBIB NIH HHS U01 EB023820
6 · The paper itself

Abstract

We describe a strategy of removing magnetic field interference for a whole-head pediatric magnetoencephalography (MEG) system ("babyMEG") installed in a hospital. The 375-channel sensor array of babyMEG consists entirely of magnetometers in two layers to maximize the sensitivity for detecting MEG signals from infants, toddlers, and young children. It is equipped with a continuously operating closed-cycle helium recycler to reduce the operating costs. These two features pose special challenges for noise cancellation. Our strategy uses a combination of several methods. The system is installed in a light-weight, magnetically shielded room (MSR) equipped with an active external shielding. In addition we employ two software-based techniques - a signal space projection (SSP) technique and a synthetic gradiometer (SG) method - for removing the environmental magnetic noise in real time and displaying the output online. The shielding effects are: passive shielding - 36 dB, active shielding - 12 dB, SSP - 40 dB and SG - 40 dB, for a combined maximum shielding of about 90 dB at 0.1 Hz. We evaluated the performance of the babyMEG after applying the noise cancellation techniques. The dipole localization errors were <3 mm after averaging 50 epochs with empty room noise in a simulation study for dipoles >10 nAm, which is in the low range of empirically observed dipole moments. In a phantom study with realistic environmental noise, we could clearly recover an evoked cortical magnetic field produced by a 20 nAm dipole after averaging 50 epochs. The localization error was ~6 mm after averaging 20 epochs. In infants, we could clearly detect a somatic evoked field after averaging ~20 responses. The unique two-layer sensor design combined with the SSP or SG provides effective noise suppression for a magnetometer-based pediatric MEG system in hospital environment with the closed-cycle helium recycler operating continuously during MEG measurements.

Indexed as

active shieldingdipole localizationMagnetoencephalographyNoise cancellationpassive shieldingsignal space projectionsynthetic gradiometer

Identifiers

PMID30174830
PMCPMC6112825
OpenAlexW2884692378

What OpenQuestion holds

Textmetadata
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.