IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-55753-8_38.html
   My bibliography  Save this book chapter

Spatio-Temporal Current Density Reconstruction from EEG-/MEG-Data

In: Mathematics — Key Technology for the Future

Author

Listed:
  • 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)

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.

Suggested Citation

  • Alfred K. Louis & Uwe Schmitt & Felix Darvas & Helmut Büchner & Manfred Fuchs, 2003. "Spatio-Temporal Current Density Reconstruction from EEG-/MEG-Data," Springer Books, in: Willi Jäger & Hans-Joachim Krebs (ed.), Mathematics — Key Technology for the Future, pages 472-482, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-55753-8_38
    DOI: 10.1007/978-3-642-55753-8_38
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-642-55753-8_38. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.