1993
DOI: 10.1109/10.245606
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Sampling theory for neuromagnetic detector arrays

Abstract: The sampling theorem for wave-number-limited multivariable functions is applied to the problem of neuromagnetic field mapping. The wave-number spectrum and other relevant properties of these fields are estimated. A theory is derived for reconstructing neuromagnetic fields from measurements using sensor arrays which sample either the field component Bz perpendicular to the planar grid of measurement points, or the two components delta Bz/delta x and delta Bz/delta y of its gradient in the xy plane. The maximum … Show more

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Cited by 106 publications
(86 citation statements)
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“…The planar field gradient approximates the signals measured by planar gradiometers. This is often advantageous in MEG signal processing, because the strongest field of the planar gradient usually is situated above the neural sources (43). The vertical and horizontal components were estimated using the fields of each sensor and its neighboring sensors.…”
Section: Methodsmentioning
confidence: 99%
“…The planar field gradient approximates the signals measured by planar gradiometers. This is often advantageous in MEG signal processing, because the strongest field of the planar gradient usually is situated above the neural sources (43). The vertical and horizontal components were estimated using the fields of each sensor and its neighboring sensors.…”
Section: Methodsmentioning
confidence: 99%
“…Signal strength was visually controlled during the entire measurement. In 12 subjects, neuromagnetic activity was recorded noninvasively with a helmet-shaped 122-channel whole-head Neuromag TM system (Ahonen et al 1993). Due to a change of the MEG system (Elekta Oy, Helsinki, Finland), 15 further subjects were measured by means of a 306-channel system.…”
Section: Meg Recordingsmentioning
confidence: 99%
“…The calculated planar field gradient approximates the signals measured by physical planar gradiometers [e.g., as in Elekta (Stockholm, Sweden) Neuromag systems]. This is often advantageous when analyzing MEG signals, because the strongest field of the planar gradient signal usually is situated above the neural sources (Ahonen et al, 1993). The horizontal and vertical components of the planar gradients were estimated at each sensor location using the fields from the sensor and its neighboring sensors.…”
Section: Methodsmentioning
confidence: 99%