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Non-invasive EEG source localization using particle swarm optimization: A clinical experiment

Yazdan Shirvany (Institutionen för signaler och system, Biomedicinsk elektromagnetik ; Institutionen för signaler och system, Signalbehandling) ; F. Edelvik ; S. Jakobsson ; A. Hedstrom ; Mahmood Qaiser (Institutionen för signaler och system, Digitala bildsystem och bildanalys) ; Artur Chodorowski (Institutionen för signaler och system, Digitala bildsystem och bildanalys) ; Mikael Persson (Institutionen för signaler och system, Biomedicinsk elektromagnetik)
34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012, San Diego, CA, 28 August - 1 September 2012 (1557-170X). p. 6232-6235. (2012)
[Konferensbidrag, refereegranskat]

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.

Nyckelord: EEG source localization, Epilepsy surgery, Epileptogenic foci, Exhaustive search, Finite Element, Global minima, Healthy subjects, High resolution, Modified particle swarm optimization, Number of iterations, Somatosensory cortex, Somatosensory evoked potentials, Source analysis method, Standard tools, T1-weighted magnetic resonance imaging



Denna post skapades 2013-01-08. Senast ändrad 2016-07-01.
CPL Pubid: 169636

 

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Institutioner (Chalmers)

Institutionen för signaler och system, Biomedicinsk elektromagnetik
Institutionen för signaler och system, Signalbehandling
Institutionen för signaler och system, Digitala bildsystem och bildanalys (1900-2013)

Ämnesområden

Medicinteknik

Chalmers infrastruktur