dc.creatorLopez, Jose David
dc.creatorTierney, Tim M.
dc.creatorSucerquia, Angela
dc.creatorValencia, Felipe
dc.creatorHolmes, Niall
dc.creatorMellor, Stephanie
dc.creatorRoberts, Gillian
dc.creatorHill, Ryan M.
dc.creatorBowtell, Richard
dc.creatorBrookes, Matthew J.
dc.creatorBarnes, Gareth R.
dc.date.accessioned2019-10-15T12:23:51Z
dc.date.available2019-10-15T12:23:51Z
dc.date.created2019-10-15T12:23:51Z
dc.date.issued2019
dc.identifierIEEE Access, Volumen 7,
dc.identifier21693536
dc.identifier10.1109/ACCESS.2019.2891162
dc.identifierhttps://repositorio.uchile.cl/handle/2250/171630
dc.description.abstractOptically 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
dc.languageen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
dc.sourceIEEE Access
dc.subjectKalman filter
dc.subjectmagnetic field measurement
dc.subjectmagnetic noise
dc.subjectmagnetic sensors
dc.subjectMagnetoencephalography
dc.subjectmagnetometers
dc.subjectnoise cancellation
dc.subjectoptically pumped magnetometers
dc.titleUpdating dynamic noise models with moving magnetoencephalographic (MEG) systems
dc.typeArtículos de revistas


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