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Blind source separation methods used in functional brain imaging

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978-963-449-398-3 _ Kandó konf. 2025 _ 41.pdf (968.0Kb)
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http://hdl.handle.net/20.500.14044/37378
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  • 2025 Kandó Konferencia Konferenciaközlemények [50]
Abstract
In my presentation, I will introduce the data analysis methods used in functional brain imaging. I will review the pre-processing steps used to improve the signal- to-noise ratio. I will describe the basics of blind source separation (BSS) methods— independent component analysis (ICA) and extended spatial decorrelation (ESD)—and how these methods can be applied in modern functional brain imaging, such as optical imaging of internal (within human body) signals or functional magnetic resonance imaging.
Title
Blind source separation methods used in functional brain imaging
xmlui.dri2xhtml.METS-1.0.item-description-titlenumber
41.
Author
Tóth, Zoltán Géza
xmlui.dri2xhtml.METS-1.0.item-contributor-editor
Dr. Wührl, Tibor
xmlui.dri2xhtml.METS-1.0.item-date-issued
2026
xmlui.dri2xhtml.METS-1.0.item-rights-access
Open access
xmlui.dri2xhtml.METS-1.0.item-other-conferenceTitle
Kandó Konferencia 2025
xmlui.dri2xhtml.METS-1.0.item-other-conferenceDate
2026
xmlui.dri2xhtml.METS-1.0.item-language
en
xmlui.dri2xhtml.METS-1.0.item-format-page
14 p.
xmlui.dri2xhtml.METS-1.0.item-subject-oszkar
separation methods, functional brain imaging, independent component analysis
xmlui.dri2xhtml.METS-1.0.item-description-version
Kiadói változat
xmlui.dri2xhtml.METS-1.0.item-other-containerTitle
XLI. Kandó Konferencia 2025 KK2025
xmlui.dri2xhtml.METS-1.0.item-other-containerPeriodicalYear
2026
xmlui.dri2xhtml.METS-1.0.item-other-containerIdentifierIsbn
978-963-449-398-3
xmlui.dri2xhtml.METS-1.0.item-type-type
Konferenciaközlemény
xmlui.dri2xhtml.METS-1.0.item-subject-area
Műszaki tudományok - gépészeti tudományok
xmlui.dri2xhtml.METS-1.0.item-publisher-university
Óbudai Egyetem
xmlui.dri2xhtml.METS-1.0.item-publisher-faculty
Kandó Kálmán Villamosmérnöki Kar

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