Recent advances in modeling and analysis of bioelectric and biomagnetic sources

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dc.contributor.authorSander, Tilmann H.
dc.contributor.authorKnösche, Thomas R.
dc.contributor.authorSchlögl, Alois
dc.contributor.authorKohl, Florian
dc.contributor.authorWolters, Carsten H.
dc.contributor.authorHaueisen, Jens
dc.contributor.authorTrahms, Lutz
dc.date.accessioned2017-11-29T09:23:14Z
dc.date.available2017-11-29T09:23:14Z
dc.date.issued2010
dc.descriptionDieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG geförderten) Allianz- bzw. Nationallizenz frei zugänglich.de
dc.descriptionThis publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively.en
dc.description.abstractDetermining the centers of electrical activity in the human body and the connectivity between different centers of activity in the brain is an active area of research. To understand brain function and the nature of cardiovascular diseases requires sophisticated methods applicable to non-invasively measured bioelectric and biomagnetic data. As it is difficult to solve for all unknown parameters at once, several strains of data analysis have been developed, each trying to solve a different part of the problem and each requiring a different set of assumptions. Current trends and results from major topics of electro- and magnetoencephalographic data analysis are presented here together with the aim of stimulating research into the unification of the different approaches. The following topics are discussed: source reconstruction using detailed finite element modeling to locate sources deep in the brain; connectivity analysis for the quantification of strength and direction of information flow between activity centers, preferably incorporating an inverse solution; the conflict between the statistical independence assumption of sources and a possible connectivity; the verification and validation of results derived from non-invasively measured data through animal studies and phantom measurements. This list already indicates the benefits of a unified view.en
dc.identifier.eissn0013-5585
dc.identifier.issn1862-278X
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/7215
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-6490
dc.language.isoen
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subject.ddc610 Medizin und Gesundheit
dc.subject.otherautoregressive modelingen
dc.subject.otherelectro-/magnetoencephalographyen
dc.subject.otherfinite element methoden
dc.subject.otherinverse problemen
dc.subject.otherstatistical independenceen
dc.subject.othervalidationen
dc.titleRecent advances in modeling and analysis of bioelectric and biomagnetic sourcesen
dc.typeArticle
dc.type.versionpublishedVersion
dcterms.bibliographicCitation.doi10.1515/bmt.2010.027
dcterms.bibliographicCitation.issue2
dcterms.bibliographicCitation.journaltitleBiomedical engineering = Biomedizinische Technik
dcterms.bibliographicCitation.originalpublishernameDe Gruyter
dcterms.bibliographicCitation.originalpublisherplaceBerlin [u.a.]
dcterms.bibliographicCitation.pageend76
dcterms.bibliographicCitation.pagestart65
dcterms.bibliographicCitation.volume55
tub.accessrights.dnbdomain
tub.affiliationFak. 4 Elektrotechnik und Informatik::Inst. Energie- und Automatisierungstechnik::FG Elektronik und medizinische Signalverarbeitungde
tub.affiliation.facultyFak. 4 Elektrotechnik und Informatikde
tub.affiliation.groupFG Elektronik und medizinische Signalverarbeitungde
tub.affiliation.instituteInst. Energie- und Automatisierungstechnikde
tub.publisher.universityorinstitutionTechnische Universität Berlin

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