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Non-invasive EEG so...
Non-invasive EEG source localization using particle swarm optimization: A clinical experiment
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- Shirvany, Yazdan, 1980 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Carlson, Johan, 1972 (author)
- Stiftelsen Fraunhofer-Chalmers Centrum för Industrimatematik (FCC),Fraunhofer-Chalmers Research Centre for Industrial Mathematics (FCC)
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- 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
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- Qaiser, Mahmood, 1981 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Chodorowski, Artur, 1959 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Persson, Mikael, 1959 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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(creator_code:org_t)
- ISBN 9781424441198
- 2012
- 2012
- English.
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In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. - 1557-170X. - 9781424441198 ; , s. 6232-6235
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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
Publication and Content Type
- kon (subject category)
- ref (subject category)
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Shirvany, Yazdan ...
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Carlson, Johan, ...
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Jakobsson, Stefa ...
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Hedström, Anders
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Qaiser, Mahmood, ...
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Chodorowski, Art ...
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show more...
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Persson, Mikael, ...
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- ENGINEERING AND TECHNOLOGY
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ENGINEERING AND ...
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and Medical Engineer ...
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Chalmers University of Technology