Influence of measurement noise and electrode mislocalisation on EEG dipole-source localisation
Measurement noise in the electro-encephalogram (EEG) and inaccurate information about the locations of the EEG electrodes on the head induce localisation errors in the results of EEG dipole source analysis. These errors are studied by performing dipole source localisation for simulated electrode pot...
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description | Measurement noise in the electro-encephalogram (EEG) and inaccurate information about the locations of the EEG electrodes on the head induce localisation errors in the results of EEG dipole source analysis. These errors are studied by performing dipole source localisation for simulated electrode potentials in a spherical head model, for a range of different dipole locations and for two different numbers (27 and 148) of electrodes. Dipole source localisation is performed by iteratively minimising the residual energy (RE), using the simplex algorithm. The ratio of the dipole localisation error (cm) to the noise level (%) of Gaussian measurement noise amounts to 0.15 cm/% and 0.047 cm/% for the 27 and 148 electrode configurations, respectively, for a radial dipole with 40% eccentricity The localisation error due to noise can be reduced by taking into account multiple time instants of the measured potentials. In the case of random displacements of the EEG electrodes, the ratio of dipole localisation errors to electrode location errors amounts to 0.78 cm-1 cm and 0.27 cm-1 cm for the 27 and 148 electrode configurations, respectively. It is concluded that it is important to reduce the measurement noise, and particularly the electrode mislocalisation, as the influence of the latter is not reduced by taking into account multiple time instants. |
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These errors are studied by performing dipole source localisation for simulated electrode potentials in a spherical head model, for a range of different dipole locations and for two different numbers (27 and 148) of electrodes. Dipole source localisation is performed by iteratively minimising the residual energy (RE), using the simplex algorithm. The ratio of the dipole localisation error (cm) to the noise level (%) of Gaussian measurement noise amounts to 0.15 cm/% and 0.047 cm/% for the 27 and 148 electrode configurations, respectively, for a radial dipole with 40% eccentricity The localisation error due to noise can be reduced by taking into account multiple time instants of the measured potentials. In the case of random displacements of the EEG electrodes, the ratio of dipole localisation errors to electrode location errors amounts to 0.78 cm-1 cm and 0.27 cm-1 cm for the 27 and 148 electrode configurations, respectively. It is concluded that it is important to reduce the measurement noise, and particularly the electrode mislocalisation, as the influence of the latter is not reduced by taking into account multiple time instants.</description><identifier>ISSN: 0140-0118</identifier><identifier>EISSN: 1741-0444</identifier><identifier>DOI: 10.1007/BF02347049</identifier><identifier>PMID: 10912345</identifier><language>eng</language><publisher>United States: Springer Nature B.V</publisher><subject>Algorithms ; Bioelectric potentials ; Computer simulation ; Diagnostic radiography ; Electricity ; Electrodes ; Electroencephalography - methods ; Epilepsy - diagnosis ; Humans ; Inverse problems ; Localization ; Maxwell equations ; Models, Biological ; Noise ; Noninvasive medical procedures ; Signal noise measurement</subject><ispartof>Medical & biological engineering & computing, 2000-05, Vol.38 (3), p.287-296</ispartof><rights>IFMBE 2000</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c373t-ef7d3c4ecbe60728b33e9840d032412b1496f827997a28f6220e25149cdb4a993</citedby><cites>FETCH-LOGICAL-c373t-ef7d3c4ecbe60728b33e9840d032412b1496f827997a28f6220e25149cdb4a993</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/10912345$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Van Hoey, G</creatorcontrib><creatorcontrib>Vanrumste, B</creatorcontrib><creatorcontrib>D'Havé, M</creatorcontrib><creatorcontrib>Van de Walle, R</creatorcontrib><creatorcontrib>Lemahieu, I</creatorcontrib><creatorcontrib>Boon, P</creatorcontrib><title>Influence of measurement noise and electrode mislocalisation on EEG dipole-source localisation</title><title>Medical & biological engineering & computing</title><addtitle>Med Biol Eng Comput</addtitle><description>Measurement noise in the electro-encephalogram (EEG) and inaccurate information about the locations of the EEG electrodes on the head induce localisation errors in the results of EEG dipole source analysis. These errors are studied by performing dipole source localisation for simulated electrode potentials in a spherical head model, for a range of different dipole locations and for two different numbers (27 and 148) of electrodes. Dipole source localisation is performed by iteratively minimising the residual energy (RE), using the simplex algorithm. The ratio of the dipole localisation error (cm) to the noise level (%) of Gaussian measurement noise amounts to 0.15 cm/% and 0.047 cm/% for the 27 and 148 electrode configurations, respectively, for a radial dipole with 40% eccentricity The localisation error due to noise can be reduced by taking into account multiple time instants of the measured potentials. In the case of random displacements of the EEG electrodes, the ratio of dipole localisation errors to electrode location errors amounts to 0.78 cm-1 cm and 0.27 cm-1 cm for the 27 and 148 electrode configurations, respectively. 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Academic</collection><collection>Biotechnology Research Abstracts</collection><collection>Neurosciences Abstracts</collection><jtitle>Medical & biological engineering & computing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Van Hoey, G</au><au>Vanrumste, B</au><au>D'Havé, M</au><au>Van de Walle, R</au><au>Lemahieu, I</au><au>Boon, P</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Influence of measurement noise and electrode mislocalisation on EEG dipole-source localisation</atitle><jtitle>Medical & biological engineering & computing</jtitle><addtitle>Med Biol Eng Comput</addtitle><date>2000-05-01</date><risdate>2000</risdate><volume>38</volume><issue>3</issue><spage>287</spage><epage>296</epage><pages>287-296</pages><issn>0140-0118</issn><eissn>1741-0444</eissn><abstract>Measurement noise in the electro-encephalogram (EEG) and inaccurate information about the locations of the EEG electrodes on the head induce localisation errors in the results of EEG dipole source analysis. These errors are studied by performing dipole source localisation for simulated electrode potentials in a spherical head model, for a range of different dipole locations and for two different numbers (27 and 148) of electrodes. Dipole source localisation is performed by iteratively minimising the residual energy (RE), using the simplex algorithm. The ratio of the dipole localisation error (cm) to the noise level (%) of Gaussian measurement noise amounts to 0.15 cm/% and 0.047 cm/% for the 27 and 148 electrode configurations, respectively, for a radial dipole with 40% eccentricity The localisation error due to noise can be reduced by taking into account multiple time instants of the measured potentials. In the case of random displacements of the EEG electrodes, the ratio of dipole localisation errors to electrode location errors amounts to 0.78 cm-1 cm and 0.27 cm-1 cm for the 27 and 148 electrode configurations, respectively. It is concluded that it is important to reduce the measurement noise, and particularly the electrode mislocalisation, as the influence of the latter is not reduced by taking into account multiple time instants.</abstract><cop>United States</cop><pub>Springer Nature B.V</pub><pmid>10912345</pmid><doi>10.1007/BF02347049</doi><tpages>10</tpages></addata></record> |
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subjects | Algorithms Bioelectric potentials Computer simulation Diagnostic radiography Electricity Electrodes Electroencephalography - methods Epilepsy - diagnosis Humans Inverse problems Localization Maxwell equations Models, Biological Noise Noninvasive medical procedures Signal noise measurement |
title | Influence of measurement noise and electrode mislocalisation on EEG dipole-source localisation |
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