Non-invasive EEG source localization using particle swarm optimization: A clinical experiment
Paper in proceedings, 2012

One of the most important steps of pre-surgical diagnosis in patients with medically intractable epilepsy is to find the precise location of the epileptogenic foci. An Electroencephalography (EEG) is a non-invasive standard tool used at epilepsy surgery center for pre-surgical diagnosis. In this paper a modified particle swarm optimization (MPSO) method is applied to a real EEG data, i.e., a somatosensory evoked potentials (SEPs) measured from a healthy subject, to solve the EEG source localization problem. A high resolution 1 mm hexahedra finite element volume conductor model of the subject's head was generated using T1-weighted magnetic resonance imaging data. An exhaustive search pattern and the MPSO method were then applied to the peak of the averaged SEPs data. The non-invasive EEG source analysis methods localized the somatosensory cortex area where our clinical expert expected the received SEPs. The proposed inverse problem solver found the global minima with acceptable accuracy and reasonable number of iterations.

Number of iterations

T1-weighted magnetic resonance imaging

EEG source localization

Source analysis method

Healthy subjects

Modified particle swarm optimization

Standard tools

Epileptogenic foci

High resolution

Somatosensory cortex

Somatosensory evoked potentials

Finite Element

Exhaustive search

Global minima

Epilepsy surgery

Author

Yazdan Shirvany

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Biomedical Electromagnetics

Johan Carlson

Fraunhofer-Chalmers Centre

Stefan Jakobsson

Fraunhofer-Chalmers Centre

Anders Hedström

Sahlgrenska Academy

Mahmood Qaiser

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Imaging and Image Analysis

Artur Chodorowski

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Imaging and Image Analysis

Mikael Persson

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Biomedical Electromagnetics

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

1557170X (ISSN)

6232-6235 6347418

Subject Categories

Medical Engineering

DOI

10.1109/EMBC.2012.6347418

ISBN

978-142444119-8