Parametric surface-source modeling and estimation with electroencephalography

N. Cao; I. S. Yetik; A. Nehorai; C. H. Muravchik; J. Haueisen

doi:10.1016/j.ics.2007.01.024

Parametric surface-source modeling and estimation with electroencephalography

N. Cao
, I. S. Yetik
, A. Nehorai
, C. H. Muravchik
, J. Haueisen

Research output: Contribution to journal › Article › peer-review

Abstract

We develop four parametric EEG models to estimate current sources that are spatially distributed on a surface. Such sources exist for example in studies of epilepsy or induced spreading depression. We provide forward and inverse solutions and compute the Cramér-Rao bounds on the unknown source parameters. We validate our solutions using electric measurements from a body phantom.

Original language	English
Pages (from-to)	117-120
Number of pages	4
Journal	International Congress Series
Volume	1300
DOIs	https://doi.org/10.1016/j.ics.2007.01.024
State	Published - Jun 2007

Keywords

Cramér-Rao bounds
EEG
Extended source modeling

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10.1016/j.ics.2007.01.024

Cite this

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title = "Parametric surface-source modeling and estimation with electroencephalography",

abstract = "We develop four parametric EEG models to estimate current sources that are spatially distributed on a surface. Such sources exist for example in studies of epilepsy or induced spreading depression. We provide forward and inverse solutions and compute the Cram{\'e}r-Rao bounds on the unknown source parameters. We validate our solutions using electric measurements from a body phantom.",

keywords = "Cram{\'e}r-Rao bounds, EEG, Extended source modeling",

author = "N. Cao and Yetik, \{I. S.\} and A. Nehorai and Muravchik, \{C. H.\} and J. Haueisen",

note = "Funding Information: This work was supported by the National Science Foundation Grant CCR-0105334.",

year = "2007",

month = jun,

doi = "10.1016/j.ics.2007.01.024",

language = "English",

volume = "1300",

pages = "117--120",

journal = "International Congress Series",

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AU - Cao, N.

AU - Yetik, I. S.

AU - Nehorai, A.

AU - Muravchik, C. H.

AU - Haueisen, J.

N1 - Funding Information: This work was supported by the National Science Foundation Grant CCR-0105334.

PY - 2007/6

Y1 - 2007/6

N2 - We develop four parametric EEG models to estimate current sources that are spatially distributed on a surface. Such sources exist for example in studies of epilepsy or induced spreading depression. We provide forward and inverse solutions and compute the Cramér-Rao bounds on the unknown source parameters. We validate our solutions using electric measurements from a body phantom.

AB - We develop four parametric EEG models to estimate current sources that are spatially distributed on a surface. Such sources exist for example in studies of epilepsy or induced spreading depression. We provide forward and inverse solutions and compute the Cramér-Rao bounds on the unknown source parameters. We validate our solutions using electric measurements from a body phantom.

KW - Cramér-Rao bounds

KW - EEG

KW - Extended source modeling

UR - https://www.scopus.com/pages/publications/34250000941

U2 - 10.1016/j.ics.2007.01.024

DO - 10.1016/j.ics.2007.01.024

M3 - Article

AN - SCOPUS:34250000941

SN - 0531-5131

VL - 1300

SP - 117

EP - 120

JO - International Congress Series

JF - International Congress Series

ER -

Parametric surface-source modeling and estimation with electroencephalography

Abstract

Keywords

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