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

Shirvany, Yazdan, 1980 (author)
Chalmers tekniska högskola,Chalmers University of Technology
Carlson, Johan, 1972 (author)
Stiftelsen Fraunhofer-Chalmers Centrum för Industrimatematik (FCC),Fraunhofer-Chalmers Research Centre for Industrial Mathematics (FCC)
Jakobsson, Stefan, 1970 (author)
Stiftelsen Fraunhofer-Chalmers Centrum för Industrimatematik (FCC),Fraunhofer-Chalmers Research Centre for Industrial Mathematics (FCC)
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Hedström, Anders (author)
Göteborgs universitet,University of Gothenburg
Qaiser, Mahmood, 1981 (author)
Chalmers tekniska högskola,Chalmers University of Technology
Chodorowski, Artur, 1959 (author)
Chalmers tekniska högskola,Chalmers University of Technology
Persson, Mikael, 1959 (author)
Chalmers tekniska högskola,Chalmers University of Technology
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 (creator_code:org_t)
ISBN 9781424441198
2012
2012
English.
In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. - 1557-170X. - 9781424441198 ; , s. 6232-6235
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • 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.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Medicinteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Medical Engineering (hsv//eng)

Keyword

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

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