Skip to main content

Research Repository

Advanced Search

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

A bi-planar coil system for nulling background magnetic fields in scalp mounted magnetoencephalography Thumbnail


Authors

Niall Holmes

JAMES LEGGETT JAMES.LEGGETT@NOTTINGHAM.AC.UK
Technical Specialist - Opm Meg

Gillian Roberts

Ryan M. Hill

Tim M. Tierney

Vishal Shah

Gareth R. Barnes



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., …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

Files









You might also like



Downloadable Citations