{"id":"https://openalex.org/W2523728965","doi":null,"title":"Jacobi iterations for spatially constrained Independent Component Analysis","display_name":"Jacobi iterations for spatially constrained Independent Component Analysis","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2523728965","mag":"2523728965"},"language":"en","primary_location":{"id":"mag:2523728965","doi":null,"is_oa":false,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/180521","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5064593698","display_name":"Maarten De Vos","orcid":"https://orcid.org/0000-0002-3482-5145","observed_orcids":["https://orcid.org/0000-0002-3482-5145"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maarten De Vos","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-3482-5145","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009006026","display_name":"Lieven De Lathauwer","orcid":"https://orcid.org/0000-0001-5562-5014","observed_orcids":["https://orcid.org/0000-0001-5562-5014"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lieven De Lathauwer","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-5562-5014","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043869854","display_name":"Anneleen Vergult","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anneleen Vergult","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Wim De Clercq","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wim De Clercq","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059287667","display_name":"Wim Van Paesschen","orcid":"https://orcid.org/0000-0002-8535-1699","observed_orcids":["https://orcid.org/0000-0002-8535-1699"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wim Van Paesschen","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-8535-1699","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5049055621","display_name":"Sabine Van Huffel","orcid":"https://orcid.org/0000-0001-5939-0996","observed_orcids":["https://orcid.org/0000-0001-5939-0996"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sabine Van Huffel","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-5939-0996","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8153,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.78925527,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"38","last_page":"41"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9945999979972839,"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":0.9945999979972839,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.004900000058114529,"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"}},{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"independent component analysis","score":0.9430000185966492},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"EEG","score":0.5799999833106995},{"id":"https://openalex.org/keywords/jacobi-method","display_name":"Jacobi method","score":0.6790000200271606},{"id":"https://openalex.org/keywords/blind-source-separation","display_name":"blind source separation","score":0.9079999923706055},{"id":"https://openalex.org/keywords/artifact-detection","display_name":"artifact detection","score":0.6830000281333923}],"concepts":[{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.9660975933074951},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.7145124673843384},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.681942343711853},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6740595102310181},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.6399366855621338},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6083166599273682},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5833651423454285},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.568114697933197},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.484195739030838},{"id":"https://openalex.org/C2780692498","wikidata":"https://www.wikidata.org/wiki/Q16950721","display_name":"Component analysis","level":2,"score":0.442728728055954},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4289303421974182},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3511756658554077},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.1084127426147461},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2523728965","doi":null,"is_oa":false,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/180521","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2017334809","https://openalex.org/W2101640127","https://openalex.org/W2124757684","https://openalex.org/W2138178674","https://openalex.org/W2142638745","https://openalex.org/W2153134014","https://openalex.org/W2156982859","https://openalex.org/W2157765880"],"related_works":["https://openalex.org/W2520951060","https://openalex.org/W2379448770","https://openalex.org/W2111495089","https://openalex.org/W4248602225","https://openalex.org/W7100642567","https://openalex.org/W3094381525","https://openalex.org/W1583879954","https://openalex.org/W2030503309","https://openalex.org/W2385858118","https://openalex.org/W7017400951"],"abstract_inverted_index":{"Electroencephalography":[0],"(EEG)":[1],"measures":[2],"the":[3,7,46,57,73,76,90,99,112],"potentials":[4],"generated":[5],"by":[6],"brain.":[8],"Unfortunately,":[9],"eye":[10,49,87],"artifacts":[11,88],"often":[12],"contaminate":[13],"EEG":[14],"recordings.":[15],"Independent":[16],"Component":[17],"Analysis":[18],"(ICA)":[19],"has":[20],"been":[21],"proposed":[22],"to":[23,85,104,110],"remove":[24,86],"these":[25],"artifacts.":[26],"Standard":[27],"implementations":[28],"of":[29,37,48,60,75,94],"ICA":[30,83],"extract":[31],"independent":[32,77],"components":[33,100],"from":[34,89],"a":[35,41],"set":[36],"measured":[38],"signals":[39],"in":[40,108],"fully":[42],"blind":[43],"way.":[44],"In":[45],"case":[47],"artifacts,":[50],"there":[51],"is":[52,97],"strong":[53],"prior":[54],"information":[55],"about":[56],"mixing":[58],"vector":[59],"this":[61,70,81,95],"artifact":[62],"component.":[63],"We":[64],"provide":[65],"an":[66],"algorithm":[67],"which":[68],"incorporates":[69],"knowledge":[71],"into":[72],"calculation":[74],"sources":[78],"and":[79],"use":[80],"constrained":[82],"technique":[84],"EEG.":[91],"The":[92],"advantage":[93],"method":[96],"that":[98],"do":[101],"not":[102],"have":[103],"be":[105],"inspected":[106],"afterwards":[107],"order":[109],"detect":[111],"artifactual":[113],"ones.":[114]},"counts_by_year":[],"updated_date":"2026-09-29T14:09:16.559479","created_date":"2016-09-30T00:00:00"}