The extra-cranial magnetic field changes due to changes in head position have been measured in a 7T scanner using a 16-channel field camera and used to estimate the head movements. A partial least squares regression was used to identify the relationship between field changes and head position data that was simultaneously measured using an optical camera. By applying spherical harmonic spatial filtering to the field measurements it was possible to reduce the unwanted effect of chest movement in respiration, and to then predict head position changes with good accuracy. This provides a step forward towards a non-contact motion monitoring technique.
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