Application of particle swarm optimization in epileptic spike EEG source localization
Journal article, 2013

Surgical therapy has become an important therapeutic alternative for patients with medically intractable epilepsy. Correct and anatomically precise localization of an epileptic focus is essential to decide if resection of brain tissue is possible. The inverse problem in EEG-based source localization is to determine the location of the brain sources that are responsible for the measured potentials at the scalp electrodes. We propose a new global optimization method based on particle swarm optimization (PSO) to solve the epileptic spike EEG source localization inverse problem. In a forward problem a modified subtraction method is proposed to reduce the computational time. The good accuracy and fast convergence are demonstrated for 2D and 3D cases with realistic head models. The results from the new method are promising for use in the pre-surgical clinic in the future

Finite element method

Particle swarm optimization

Epilepsy

Source localization

Electroencephalography

Author

Yazdan Shirvany

Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering

Fredrik Edelvik

Fraunhofer-Chalmers Centre

Stefan Jakobsson

Fraunhofer-Chalmers Centre

Anders Hedström

University of Gothenburg

Mikael Persson

Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering

Applied Soft Computing Journal

1568-4946 (ISSN)

Vol. 13 5 2515-2525

Subject Categories

Medical Engineering

Areas of Advance

Life Science Engineering (2010-2018)

DOI

10.1016/j.asoc.2012.11.035

More information

Latest update

11/22/2019