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Updating dynamic noise models with moving magnetoencephalographic (MEG) systems

Lopez, JD; Tierney, TM; Sucerquia, A; Valencia, F; Holmes, N; Mellor, S; Roberts, G; ... Barnes, GR; + view all (2019) Updating dynamic noise models with moving magnetoencephalographic (MEG) systems. IEEE Access , 7 pp. 10093-10102. 10.1109/ACCESS.2019.2891162. Green open access

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Abstract

Optically pumped magnetometers have opened many possibilities for the study of human brain function using wearable moveable technology. In order to fully exploit this capability, a stable low-field environment at the sensors is required. One way to achieve this is to predict (and compensate for) the changes in the ambient magnetic field as the subject moves through the room. The ultimate aim is to account for the dynamically changing noise environments by updating a model based on the measurements from a moving sensor array. We begin by demonstrating how an appropriate environmental spatial noise model can be developed through free-energy-based model selection. We then develop a Kalman-filter-based strategy to account for the dynamically changing interference. We demonstrate how such a method could not only provide realistic estimates of interfering signals when the sensors are moving but also provide powerful predictive performance (at a fixed point within the room) when both the sensors and sources of interference are in motion.

Type: Article
Title: Updating dynamic noise models with moving magnetoencephalographic (MEG) systems
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/ACCESS.2019.2891162
Publisher version: http://doi.org/10.1109/ACCESS.2019.2891162
Language: English
Additional information: This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/
Keywords: Magnetoencephalography, Kalman filter, magnetic sensors, noise cancellation, magnetic noise, magnetometers, magnetic field measurement, optically pumped magnetometers.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience
UCL > Provost and Vice Provost Offices > VP: International
UCL > Provost and Vice Provost Offices > VP: International > UCL - Qatar
URI: https://discovery.ucl.ac.uk/id/eprint/10068299
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