High resolution boundary element forward models for sensor arrays: An application to electroencephalography

Caitlinn Loftus, Mark Jenkinson, Gary F. Egan

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Abstract

The forward problem of electroencephalography (EEC) involves mapping current sources in the brain to voltages at sensors (electrodes) on the scalp. Boundary element modeling is a numerical method which has been widely applied to this problem. Here, the boundary element approach is validated for spherical models for which analytic solutions can be calculated. Three aspects of the basic approach were varied: the type of potential approximation [1], the use of a solid angle correction [2] and the isolated skull correction [3]. The effects of locally non-uniform meshes were also considered. The calculations were performed using six different mesh resolutions, including mesh resolutions significantly higher than those previously used for forward model evaluation.

Original languageEnglish
Title of host publicationProceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04
EditorsM. Palaniswami, B. Krishnamachari, A. Sowmya, S. Challa, M. Palaniswami, B. Krishnamachari, A. Sowmya, S. Challa
Pages599-604
Number of pages6
Publication statusPublished - 1 Dec 2004
Externally publishedYes
EventInternational Conference on Intelligent Sensors, Sensor Networks and Information Processing 2004 - Melbourne, Australia
Duration: 14 Dec 200417 Dec 2004
Conference number: 1st
https://ieeexplore.ieee.org/xpl/conhome/9710/proceeding (Proceedings)

Conference

ConferenceInternational Conference on Intelligent Sensors, Sensor Networks and Information Processing 2004
Abbreviated titleISSNIP 2004
CountryAustralia
CityMelbourne
Period14/12/0417/12/04
Internet address

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