Multiple Source Detection based on Spatial Clustering and Its Applications on Wearable OPM-MEG

Objective: Magnetoencephalography (MEG) is a non-invasive technique that measures the magnetic fields of brain activity. In particular, a new type of optically pumped magnetometer (OPM)-based wearable MEG system has been developed in recent years. Source localization in MEG can provide signals and l...

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Vydáno v:	IEEE transactions on biomedical engineering Ročník 69; číslo 10; s. 1
Hlavní autoři:	An, Nan, Cao, Fuzhi, Li, Wen, Wang, Wenli, Xu, Weinan, Wang, Chunhui, Gao, Yang, Xiang, Min, Ning, Xiaolin
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.10.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Brain Clustering Clustering algorithms Dipoles Distribution functions Eigenvalues and eigenfunctions Graphical models inverse problem Inverse problems Localization Location awareness Magnetic fields Magnetoencephalography Magnetometers multiple source localization Nervous system OPM-MEG parametric method Particle swarm optimization Sensory stimuli spatial clustering Spatial distribution Wearable technology
ISSN:	0018-9294, 1558-2531, 1558-2531
On-line přístup:	Získat plný text
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