Spatiotemporal signal space separation method for rejecting nearby interference in MEG measurements
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Abstract
Limitations of traditional magnetoencephalography (MEG) exclude some important patient groups from MEG examinations, such as epilepsy patients with a vagus nerve stimulator, patients with magnetic particles on the head or having magnetic dental materials that cause severe movement-related artefact signals. Conventional interference rejection methods are not able to remove the artefacts originating this close to the MEG sensor array. For example, the reference array method is unable to suppress interference generated by sources closer to the sensors than the reference array, about 20-40 cm. The spatiotemporal signal space separation method proposed in this paper recognizes and removes both external interference…
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2Topics & keywords
Topics
Keywords
- Magnetoencephalography
- Interference (communication)
- SIGNAL (programming language)
- Computer science
- Separation (statistics)
- Acoustics
- Computer vision
- Artificial intelligence
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