Niall Holmes
A bi-planar coil system for nulling background magnetic fields in scalp mounted magnetoencephalography
Holmes, Niall; Leggett, James; Boto, Elena; Roberts, Gillian; Hill, Ryan M.; Tierney, Tim M.; Shah, Vishal; Barnes, Gareth R.; Brookes, Matthew J.; Bowtell, Richard
Authors
Dr JAMES LEGGETT JAMES.LEGGETT@NOTTINGHAM.AC.UK
RESEARCH FELLOW
Miss ELENA BOTO ELENA.BOTO@NOTTINGHAM.AC.UK
SENIOR RESEARCH FELLOW
Gillian Roberts
Ryan M. Hill
Tim M. Tierney
Vishal Shah
Gareth R. Barnes
Professor MATTHEW BROOKES MATTHEW.BROOKES@NOTTINGHAM.AC.UK
PROFESSOR OF PHYSICS
Professor RICHARD BOWTELL RICHARD.BOWTELL@NOTTINGHAM.AC.UK
PROFESSOR OF PHYSICS
Abstract
Small, commercially-available Optically Pumped Magnetometers (OPMs) can be used to construct a wearable Magnetoencephalography (MEG) system that allows large head movements to be made during recording. The small dynamic range of these sensors however means that movement in the residual static magnetic field found inside typical Magnetically Shielded Rooms (MSR) can saturate the sensor outputs, rendering the data unusable. This problem can be ameliorated by using a set of electromagnetic coils to attenuate the spatially-varying remnant field. Here, an array of bi-planar coils, which produce an open and accessible scanning environment, were designed and constructed. The coils were designed using a harmonic minimisation method previously used for gradient coil design in Magnetic Resonance Imaging (MRI). Six coils were constructed to null
Citation
Holmes, N., Leggett, J., Boto, E., Roberts, G., Hill, R. M., Tierney, T. M., Shah, V., Barnes, G. R., Brookes, M. J., & Bowtell, R. (2018). A bi-planar coil system for nulling background magnetic fields in scalp mounted magnetoencephalography. NeuroImage, 181, 760-774. https://doi.org/10.1016/j.neuroimage.2018.07.028
Journal Article Type | Article |
---|---|
Acceptance Date | Jul 12, 2018 |
Online Publication Date | Jul 19, 2018 |
Publication Date | 2018-11 |
Deposit Date | Jul 18, 2018 |
Publicly Available Date | Aug 8, 2018 |
Journal | NeuroImage |
Print ISSN | 1053-8119 |
Electronic ISSN | 1095-9572 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 181 |
Pages | 760-774 |
DOI | https://doi.org/10.1016/j.neuroimage.2018.07.028 |
Public URL | https://nottingham-repository.worktribe.com/output/946538 |
Publisher URL | https://www.sciencedirect.com/science/article/pii/S1053811918306438 |
Contract Date | Aug 8, 2018 |
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Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0
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