Feed-forward active magnetic shielding
Alain de Cheveign\'e

TL;DR
This paper proposes a data-driven, decoupling matrix approach for feed-forward active magnetic shielding that can theoretically cancel ambient magnetic fields across all frequencies, potentially improving MEG system performance.
Contribution
It introduces a novel decoupling matrix method to mitigate coil-reference sensor coupling in feed-forward shielding, enhancing effectiveness without complex calibration.
Findings
Simulation results show complete ambient field cancellation is theoretically possible.
The method does not require geometric calibration or physical adjustments.
Performance may be limited by factors like current noise.
Abstract
Magnetic fields from the brain are tiny relative to ambient fields which therefore need to be suppressed. The common solution of passive shielding is expensive, bulky and insufficiently effective, thus motivating research into the alternative of active shielding which comes in two flavours: feed-back and feed-forward. In feed-back designs (the most common), corrective fields are created by coils driven from sensors within the area that they correct, for example from the main sensors of an MEG device. In feed-forward designs (less common), corrective fields are driven from dedicated reference sensors outside the area they correct. Feed-forward can achieve better performance than feed-back, in principle, however its implementation is hobbled by an unavoidable coupling between coils and reference sensors, which reduces the effectiveness of the shielding and may affect stability,…
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Taxonomy
TopicsRadiation Therapy and Dosimetry · Atomic and Subatomic Physics Research · Particle accelerators and beam dynamics
