Spatio-Temporal Current Density Reconstruction from EEG-/MEG-Data
Alfred K. Louis,
Uwe Schmitt,
Felix Darvas (),
Helmut Büchner () and
Manfred Fuchs ()
Additional contact information
Alfred K. Louis: Institut für Angewandte Mathematik, Universität des Saarlandes
Uwe Schmitt: Institut für Angewandte Mathematik, Universität des Saarlandes
Felix Darvas: Neurologie, RWTH Aachen
Helmut Büchner: Klinik für Neurologie und klinische Neurophysiologie
Manfred Fuchs: Neuroscan Labs
A chapter in Mathematics — Key Technology for the Future, 2003, pp 472-482 from Springer
Abstract:
Abstract The determination of the sources of electric activity inside the brain from electric measurements on the surface of the head is known to be an ill-posed problem. In this paper a new algorithm which takes temporal a-priori information into account is described and compared to existing algorithms as Tikhonov-Phillips. There are further applications in medical and technical fields as the determination of electrical sources in the living heart and the determination of acoustic sources.
Date: 2003
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-55753-8_38
Ordering information: This item can be ordered from
http://www.springer.com/9783642557538
DOI: 10.1007/978-3-642-55753-8_38
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().