{"id":"https://openalex.org/W2913505806","doi":"https://doi.org/10.1109/bibm.2018.8621504","title":"Localizing Current Dipoles from EEG Data Using a Birth\u2013Death Process","display_name":"Localizing Current Dipoles from EEG Data Using a Birth\u2013Death Process","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2913505806","doi":"https://doi.org/10.1109/bibm.2018.8621504","mag":"2913505806"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2018.8621504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2018.8621504","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030374904","display_name":"Keita Nakamura","orcid":"https://orcid.org/0000-0002-3828-7460"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Keita Nakamura","raw_affiliation_strings":["School of Science and Engineering, Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"School of Science and Engineering, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036537988","display_name":"Sho Sonoda","orcid":"https://orcid.org/0000-0001-7242-4740"},"institutions":[{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sho Sonoda","raw_affiliation_strings":["Center for Advanced Intelligence Project RIKEN, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Center for Advanced Intelligence Project RIKEN, Tokyo, Japan","institution_ids":["https://openalex.org/I4210126580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023633849","display_name":"Hideitsu Hino","orcid":"https://orcid.org/0000-0002-6405-4361"},"institutions":[{"id":"https://openalex.org/I4210134673","display_name":"The Institute of Statistical Mathematics","ror":"https://ror.org/03jcejr58","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I4210134673","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hideitsu Hino","raw_affiliation_strings":["Department of Statistical Modeling, The Institute of Statistical Mathematics, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Statistical Modeling, The Institute of Statistical Mathematics, Tokyo, Japan","institution_ids":["https://openalex.org/I4210134673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102780081","display_name":"Masahiro Kawasaki","orcid":"https://orcid.org/0000-0001-9991-7051"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masahiro Kawasaki","raw_affiliation_strings":["Department of Information Systems, University of Tsukuba, Ibaraki, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Information Systems, University of Tsukuba, Ibaraki, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080238107","display_name":"Shotaro Akaho","orcid":"https://orcid.org/0000-0002-4623-2718"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shotaro Akaho","raw_affiliation_strings":["Human Informatics Research Institute AIST, Ibaraki, Japan"],"affiliations":[{"raw_affiliation_string":"Human Informatics Research Institute AIST, Ibaraki, Japan","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091474846","display_name":"Noboru Murata","orcid":"https://orcid.org/0000-0002-4258-6877"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Noboru Murata","raw_affiliation_strings":["School of Science and Engineering, Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"School of Science and Engineering, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5030374904"],"corresponding_institution_ids":["https://openalex.org/I150744194"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.18431347,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9","issue":null,"first_page":"2645","last_page":"2651"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dipole","display_name":"Dipole","score":0.8227494955062866},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5886685848236084},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.5452563762664795},{"id":"https://openalex.org/keywords/current","display_name":"Current (fluid)","score":0.5393962264060974},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5283893942832947},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5035447478294373},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.4601076543331146},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.4168260991573334},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3979966938495636},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3742690682411194},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3464188575744629},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.34055590629577637},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26216354966163635},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.14697697758674622},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09231019020080566},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07259705662727356}],"concepts":[{"id":"https://openalex.org/C173523689","wikidata":"https://www.wikidata.org/wiki/Q215589","display_name":"Dipole","level":2,"score":0.8227494955062866},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5886685848236084},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.5452563762664795},{"id":"https://openalex.org/C148043351","wikidata":"https://www.wikidata.org/wiki/Q4456944","display_name":"Current (fluid)","level":2,"score":0.5393962264060974},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5283893942832947},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5035447478294373},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.4601076543331146},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.4168260991573334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3979966938495636},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3742690682411194},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3464188575744629},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.34055590629577637},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26216354966163635},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.14697697758674622},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09231019020080566},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07259705662727356},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2018.8621504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2018.8621504","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W245658","https://openalex.org/W1484650746","https://openalex.org/W1853253214","https://openalex.org/W1951654680","https://openalex.org/W1970758917","https://openalex.org/W1983684992","https://openalex.org/W2022943789","https://openalex.org/W2053595213","https://openalex.org/W2072969886","https://openalex.org/W2075015123","https://openalex.org/W2088404833","https://openalex.org/W2113431893","https://openalex.org/W2151085163","https://openalex.org/W2168175751","https://openalex.org/W2257120953","https://openalex.org/W2545069052","https://openalex.org/W2626673799","https://openalex.org/W2885675495","https://openalex.org/W3105832148","https://openalex.org/W6639120805"],"related_works":["https://openalex.org/W2015530857","https://openalex.org/W1991846142","https://openalex.org/W2556064263","https://openalex.org/W1583020711","https://openalex.org/W1521151968","https://openalex.org/W1580685205","https://openalex.org/W4252024964","https://openalex.org/W4253883008","https://openalex.org/W2331917905","https://openalex.org/W3155039083"],"abstract_inverted_index":{"A":[0],"common":[1],"approach":[2],"to":[3,11],"the":[4,13,19,35,48,61,75,100,113,122,127],"electroencephalogram":[5],"(EEG)":[6],"source":[7],"localization":[8],"problem":[9,22,32],"is":[10,23,28,67],"estimate":[12,74,86,121],"states":[14],"of":[15,37,65,126],"current":[16,51],"dipoles.":[17,128],"However,":[18],"dipole":[20,90],"estimation":[21,117],"difficult":[24],"because":[25],"not":[26],"only":[27],"it":[29],"an":[30,95],"inverse":[31],"but":[33],"also":[34],"number":[36,123],"dipoles":[38,52,66],"can":[39,119],"change":[40],"over":[41],"time.":[42],"In":[43],"this":[44],"paper,":[45],"we":[46],"model":[47,59,115],"relationship":[49],"between":[50],"and":[53,63,78,85,108,116,124],"EEG":[54],"observations":[55],"using":[56],"a":[57,70,81,88],"state-space":[58],"where":[60],"creation":[62],"annihilation":[64],"represented":[68],"as":[69],"birth-death":[71],"process.":[72],"We":[73],"dipoles'":[76],"positions":[77,125],"moments":[79],"with":[80],"Rao-Blackwellized":[82],"particle":[83],"filter":[84],"whether":[87],"new":[89],"has":[91],"been":[92],"created":[93],"or":[94],"existing":[96],"one":[97],"annihilated":[98],"via":[99],"Bayesian":[101],"information":[102],"criterion.":[103],"Experiments":[104],"on":[105],"both":[106],"synthetic":[107],"real":[109],"data":[110],"show":[111],"that":[112],"proposed":[114],"method":[118],"effectively":[120]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
