Loading…
Coil Arrays Modeling and Optimization for Transcranial Magnetic Stimulation
In order to locate the exciting site in transcranial magnetic stimulation (TMS) efficiently, schemes of coil arrays in hemispherical, plane and torus shape are put forward in this paper to get the magnetic field distribution with ideal focusing capability. Then a self-reparative & adaptive genet...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | |
container_end_page | 5 |
container_issue | |
container_start_page | 1 |
container_title | |
container_volume | |
creator | Liu Jicheng Lu Jiqing Liu Cui Hu Yayi |
description | In order to locate the exciting site in transcranial magnetic stimulation (TMS) efficiently, schemes of coil arrays in hemispherical, plane and torus shape are put forward in this paper to get the magnetic field distribution with ideal focusing capability. Then a self-reparative & adaptive genetic algorithm (SRAGA) is applied in the optimization the currents infused into each coil. Base on the calculated results of the optimized current configurations, ideal focusing capabilities are illustrated with contour lines and 3-D mesh charts of magnitude within the calculation domain. It is shown that all the 3 coil arrays have good capability to establish a focused magnetic field distribution in a given region. In addition, it is also shown that the coil arrays have the capability to focus on multi-targets simultaneously, and the capability to focus on arbitrary point. |
doi_str_mv | 10.1109/BMEI.2009.5305488 |
format | conference_proceeding |
fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5305488</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5305488</ieee_id><sourcerecordid>5305488</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-f52f4791f3722c5baf62f6a336e0b72bb656e29dfd4a01145f4248c387f9ee93</originalsourceid><addsrcrecordid>eNo9kL9OwzAYxM2fSrQlD4BY_AIp9mc79jeWqEBFow7twFY5iV0ZpUmVhKE8PQEKy93wO510R8gdZzPOGT48ZovlDBjDmRJMSWMuyIRLkFJyId8uyZijNDEgwBWJUJs_Bvr6n3E5IpPvDmQDwBsSdd07Y4xjgqDFmLymTajovG3tqaNZU7oq1Htq65Kuj304hE_bh6amvmnptrV1VwwSbEUzu69dHwq6GVIf1U_qloy8rToXnX1KNk-LbfoSr9bPy3S-igOyPvYKvNTIvdAAhcqtT8AnVojEsVxDnicqcYClL6VlnEvlh12mEEZ7dA7FlNz_tgbn3O7YhoNtT7vzReILI15T_g</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Coil Arrays Modeling and Optimization for Transcranial Magnetic Stimulation</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Liu Jicheng ; Lu Jiqing ; Liu Cui ; Hu Yayi</creator><creatorcontrib>Liu Jicheng ; Lu Jiqing ; Liu Cui ; Hu Yayi</creatorcontrib><description>In order to locate the exciting site in transcranial magnetic stimulation (TMS) efficiently, schemes of coil arrays in hemispherical, plane and torus shape are put forward in this paper to get the magnetic field distribution with ideal focusing capability. Then a self-reparative & adaptive genetic algorithm (SRAGA) is applied in the optimization the currents infused into each coil. Base on the calculated results of the optimized current configurations, ideal focusing capabilities are illustrated with contour lines and 3-D mesh charts of magnitude within the calculation domain. It is shown that all the 3 coil arrays have good capability to establish a focused magnetic field distribution in a given region. In addition, it is also shown that the coil arrays have the capability to focus on multi-targets simultaneously, and the capability to focus on arbitrary point.</description><identifier>ISSN: 1948-2914</identifier><identifier>ISBN: 9781424441327</identifier><identifier>ISBN: 1424441323</identifier><identifier>EISSN: 1948-2922</identifier><identifier>EISBN: 142444134X</identifier><identifier>EISBN: 9781424441341</identifier><identifier>DOI: 10.1109/BMEI.2009.5305488</identifier><identifier>LCCN: 2009901329</identifier><language>eng</language><publisher>IEEE</publisher><subject>Brain modeling ; Coils ; Electromagnetic fields ; Focusing ; Frequency ; Genetic algorithms ; Magnetic fields ; Magnetic stimulation ; Sensor arrays ; Toroidal magnetic fields</subject><ispartof>2009 2nd International Conference on Biomedical Engineering and Informatics, 2009, p.1-5</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5305488$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54530,54895,54907</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5305488$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Liu Jicheng</creatorcontrib><creatorcontrib>Lu Jiqing</creatorcontrib><creatorcontrib>Liu Cui</creatorcontrib><creatorcontrib>Hu Yayi</creatorcontrib><title>Coil Arrays Modeling and Optimization for Transcranial Magnetic Stimulation</title><title>2009 2nd International Conference on Biomedical Engineering and Informatics</title><addtitle>BMEI</addtitle><description>In order to locate the exciting site in transcranial magnetic stimulation (TMS) efficiently, schemes of coil arrays in hemispherical, plane and torus shape are put forward in this paper to get the magnetic field distribution with ideal focusing capability. Then a self-reparative & adaptive genetic algorithm (SRAGA) is applied in the optimization the currents infused into each coil. Base on the calculated results of the optimized current configurations, ideal focusing capabilities are illustrated with contour lines and 3-D mesh charts of magnitude within the calculation domain. It is shown that all the 3 coil arrays have good capability to establish a focused magnetic field distribution in a given region. In addition, it is also shown that the coil arrays have the capability to focus on multi-targets simultaneously, and the capability to focus on arbitrary point.</description><subject>Brain modeling</subject><subject>Coils</subject><subject>Electromagnetic fields</subject><subject>Focusing</subject><subject>Frequency</subject><subject>Genetic algorithms</subject><subject>Magnetic fields</subject><subject>Magnetic stimulation</subject><subject>Sensor arrays</subject><subject>Toroidal magnetic fields</subject><issn>1948-2914</issn><issn>1948-2922</issn><isbn>9781424441327</isbn><isbn>1424441323</isbn><isbn>142444134X</isbn><isbn>9781424441341</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo9kL9OwzAYxM2fSrQlD4BY_AIp9mc79jeWqEBFow7twFY5iV0ZpUmVhKE8PQEKy93wO510R8gdZzPOGT48ZovlDBjDmRJMSWMuyIRLkFJyId8uyZijNDEgwBWJUJs_Bvr6n3E5IpPvDmQDwBsSdd07Y4xjgqDFmLymTajovG3tqaNZU7oq1Htq65Kuj304hE_bh6amvmnptrV1VwwSbEUzu69dHwq6GVIf1U_qloy8rToXnX1KNk-LbfoSr9bPy3S-igOyPvYKvNTIvdAAhcqtT8AnVojEsVxDnicqcYClL6VlnEvlh12mEEZ7dA7FlNz_tgbn3O7YhoNtT7vzReILI15T_g</recordid><startdate>200910</startdate><enddate>200910</enddate><creator>Liu Jicheng</creator><creator>Lu Jiqing</creator><creator>Liu Cui</creator><creator>Hu Yayi</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200910</creationdate><title>Coil Arrays Modeling and Optimization for Transcranial Magnetic Stimulation</title><author>Liu Jicheng ; Lu Jiqing ; Liu Cui ; Hu Yayi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-f52f4791f3722c5baf62f6a336e0b72bb656e29dfd4a01145f4248c387f9ee93</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Brain modeling</topic><topic>Coils</topic><topic>Electromagnetic fields</topic><topic>Focusing</topic><topic>Frequency</topic><topic>Genetic algorithms</topic><topic>Magnetic fields</topic><topic>Magnetic stimulation</topic><topic>Sensor arrays</topic><topic>Toroidal magnetic fields</topic><toplevel>online_resources</toplevel><creatorcontrib>Liu Jicheng</creatorcontrib><creatorcontrib>Lu Jiqing</creatorcontrib><creatorcontrib>Liu Cui</creatorcontrib><creatorcontrib>Hu Yayi</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Liu Jicheng</au><au>Lu Jiqing</au><au>Liu Cui</au><au>Hu Yayi</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Coil Arrays Modeling and Optimization for Transcranial Magnetic Stimulation</atitle><btitle>2009 2nd International Conference on Biomedical Engineering and Informatics</btitle><stitle>BMEI</stitle><date>2009-10</date><risdate>2009</risdate><spage>1</spage><epage>5</epage><pages>1-5</pages><issn>1948-2914</issn><eissn>1948-2922</eissn><isbn>9781424441327</isbn><isbn>1424441323</isbn><eisbn>142444134X</eisbn><eisbn>9781424441341</eisbn><abstract>In order to locate the exciting site in transcranial magnetic stimulation (TMS) efficiently, schemes of coil arrays in hemispherical, plane and torus shape are put forward in this paper to get the magnetic field distribution with ideal focusing capability. Then a self-reparative & adaptive genetic algorithm (SRAGA) is applied in the optimization the currents infused into each coil. Base on the calculated results of the optimized current configurations, ideal focusing capabilities are illustrated with contour lines and 3-D mesh charts of magnitude within the calculation domain. It is shown that all the 3 coil arrays have good capability to establish a focused magnetic field distribution in a given region. In addition, it is also shown that the coil arrays have the capability to focus on multi-targets simultaneously, and the capability to focus on arbitrary point.</abstract><pub>IEEE</pub><doi>10.1109/BMEI.2009.5305488</doi><tpages>5</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 1948-2914 |
ispartof | 2009 2nd International Conference on Biomedical Engineering and Informatics, 2009, p.1-5 |
issn | 1948-2914 1948-2922 |
language | eng |
recordid | cdi_ieee_primary_5305488 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Brain modeling Coils Electromagnetic fields Focusing Frequency Genetic algorithms Magnetic fields Magnetic stimulation Sensor arrays Toroidal magnetic fields |
title | Coil Arrays Modeling and Optimization for Transcranial Magnetic Stimulation |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-02T07%3A45%3A59IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Coil%20Arrays%20Modeling%20and%20Optimization%20for%20Transcranial%20Magnetic%20Stimulation&rft.btitle=2009%202nd%20International%20Conference%20on%20Biomedical%20Engineering%20and%20Informatics&rft.au=Liu%20Jicheng&rft.date=2009-10&rft.spage=1&rft.epage=5&rft.pages=1-5&rft.issn=1948-2914&rft.eissn=1948-2922&rft.isbn=9781424441327&rft.isbn_list=1424441323&rft_id=info:doi/10.1109/BMEI.2009.5305488&rft.eisbn=142444134X&rft.eisbn_list=9781424441341&rft_dat=%3Cieee_6IE%3E5305488%3C/ieee_6IE%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i90t-f52f4791f3722c5baf62f6a336e0b72bb656e29dfd4a01145f4248c387f9ee93%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5305488&rfr_iscdi=true |