CPL - Chalmers Publication Library
| Utbildning | Forskning | Styrkeområden | Om Chalmers | In English In English Ej inloggad.

Evaluation of a finite-element reciprocity method for epileptic EEG source localization: Accuracy, computational complexity and noise robustness

Yazdan Shirvany (Institutionen för signaler och system, Biomedicinsk elektromagnetik) ; Tonny Rubaek (Institutionen för signaler och system, Biomedicinsk elektromagnetik) ; Fredrik Edelvik ; Stefan Jakobsson ; Oskar Talcoth (Institutionen för signaler och system, Biomedicinsk elektromagnetik) ; Mikael Persson (Institutionen för signaler och system, Biomedicinsk elektromagnetik)
Biomedical Engineering Letters (2093-9868). Vol. 3 (2013), 1, p. 8-16.
[Artikel, refereegranskad vetenskaplig]

PURPOSE The aim of this paper is to evaluate the performance of an EEG source localization method that combines a finite element method (FEM) and the reciprocity theorem. METHODS The reciprocity method is applied to solve the forward problem in a four-layer spherical head model for a large number of test dipoles. To benchmark the proposed method, the results are compared with an analytical solution and two state-of-the-art methods from the literature. Moreover, the dipole localization error resulting from utilizing the method in the inverse procedure for a realistic head model is investigated with respect to EEG signal noise and electrode misplacement. RESULTS The results show approximately 3% relative error between numerically calculated potentials done by the reciprocity theorem and the analytical solutions. When adding EEG noise with SNR between 5 and 10, the mean localization error is approximately 4.3 mm. For the case with 10 mm electrode misplacement the localization error is 4.8 mm. The reciprocity EEG source localization speeds up the solution of the inverse problem with more than three orders of magnitude compared to the state-of-the-art methods. CONCLUSIONS The reciprocity method has high accuracy for modeling the dipole in EEG source localization, is robust with respect to noise, and faster than alternative methods.

Nyckelord: Reciprocity theorem, EEG source localization, Finite element method, Inverse problem, MRI, Realistic head model



Den här publikationen ingår i följande styrkeområden:

Läs mer om Chalmers styrkeområden  

Denna post skapades 2014-01-08.
CPL Pubid: 191808

 

Läs direkt!


Länk till annan sajt (kan kräva inloggning)


Institutioner (Chalmers)

Institutionen för signaler och system, Biomedicinsk elektromagnetik (2006-2017)

Ämnesområden

Livsvetenskaper
Elektroteknik och elektronik

Chalmers infrastruktur

Relaterade publikationer

Denna publikation ingår i:


Electromagnetic Modeling and Sensitivity-Based Optimization of Medical Devices