Non-invasive EEG source localization using particle swarm optimization: A clinical experiment
Paper i proceeding, 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.

High resolution

Global minima

Epileptogenic foci

Somatosensory cortex

Modified particle swarm optimization

EEG source localization

Somatosensory evoked potentials

Epilepsy surgery

Finite Element

Source analysis method

Number of iterations

T1-weighted magnetic resonance imaging

Exhaustive search

Healthy subjects

Standard tools

Författare

Yazdan Shirvany

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik, Biomedicinsk elektromagnetik

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik, Signalbehandling

Johan Carlson

Stiftelsen Fraunhofer-Chalmers Centrum för Industrimatematik

Stefan Jakobsson

Stiftelsen Fraunhofer-Chalmers Centrum för Industrimatematik

Anders Hedström

Göteborgs universitet

Mahmood Qaiser

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik, Digitala bildsystem och bildanalys

Artur Chodorowski

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik, Digitala bildsystem och bildanalys

Mikael Persson

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik, Biomedicinsk elektromagnetik

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

1557170X (ISSN)

6232-6235 6347418

Ämneskategorier

Medicinteknik

DOI

10.1109/EMBC.2012.6347418

ISBN

978-142444119-8

Mer information

Senast uppdaterat

2019-11-22