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  • 标题:Sensitivity Analysis On A Simplified Model Of The Eeg Inverse Problem
  • 作者:Diana Rubio ; María Inés Troparevsky
  • 期刊名称:Mecánica Computacional
  • 印刷版ISSN:2591-3522
  • 出版年度:2007
  • 期号:20
  • 页码:2086-2092
  • 语种:English
  • 出版社:CIMEC-INTEC-CONICET-UNL
  • 其他摘要:The electroencephalography (EEG) inverse problem consists in finding the location of a source inside the brain from measurements of the potential collected via electrodes placed on the scalp. This method provides a noninvasive technique that would contribute in the treatment of neurological diseases such as epilepsy. The electric activity in the head is usually modeled by an elliptic equation with interfaces on a bounded domain with Cauchy data on the boundary. The source is often assumed to be a dipole where its location is a parameter of the model. Inspired in the EEG problem, we define a parametric second order ordinary differential equation defined on a real bounded interval with an interface where Dirichlet and interface conditions are imposed. The 1D inverse problem we are interested in consists in estimating the location of the source from measurements of the solution near to the endpoint of the interval. In this work sensitivity analysis is conducted and the impact of the results in the IP for different models for the source is discussed.
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