{"id":"https://openalex.org/W2288442072","doi":"https://doi.org/10.1109/acssc.2015.7421202","title":"Adaptive EEG artifact suppression using Gaussian mixture modeling","display_name":"Adaptive EEG artifact suppression using Gaussian mixture modeling","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2288442072","doi":"https://doi.org/10.1109/acssc.2015.7421202","mag":"2288442072"},"language":"en","primary_location":{"id":"doi:10.1109/acssc.2015.7421202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2015.7421202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 49th Asilomar Conference on Signals, Systems and Computers","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/A5067005393","display_name":"Francisco J. Solis","orcid":"https://orcid.org/0000-0002-3965-8024"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"F. J. Solis","raw_affiliation_strings":["School of Mathematical and Natural Sciences, Arizona State University, Glendale, AZ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical and Natural Sciences, Arizona State University, Glendale, AZ","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083642413","display_name":"Alexander Maurer","orcid":"https://orcid.org/0000-0002-6964-802X"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Maurer","raw_affiliation_strings":["School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057286454","display_name":"JingYi Jiang","orcid":"https://orcid.org/0009-0006-4458-6068"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Jiang","raw_affiliation_strings":["School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069246416","display_name":"Antonia Papandreou\u2010Suppappola","orcid":"https://orcid.org/0000-0002-5223-6256"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Papandreou-Suppappola","raw_affiliation_strings":["School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.333,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.62322328,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"3","issue":null,"first_page":"607","last_page":"611"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9993000030517578,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9990000128746033,"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":0.9944999814033508,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.8025996685028076},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7336059808731079},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.7184860110282898},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.679427981376648},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6725761890411377},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6545189619064331},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.5741303563117981},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.458373099565506},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4410644769668579},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4002309739589691},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2287571132183075}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.8025996685028076},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7336059808731079},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.7184860110282898},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.679427981376648},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6725761890411377},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6545189619064331},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.5741303563117981},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.458373099565506},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4410644769668579},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4002309739589691},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2287571132183075},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acssc.2015.7421202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2015.7421202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 49th Asilomar Conference on Signals, Systems and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1967861790","https://openalex.org/W1986516294","https://openalex.org/W2000588262","https://openalex.org/W2009102908","https://openalex.org/W2016980059","https://openalex.org/W2022943789","https://openalex.org/W2049296082","https://openalex.org/W2049520100","https://openalex.org/W2053595213","https://openalex.org/W2055413161","https://openalex.org/W2071988465","https://openalex.org/W2082725905","https://openalex.org/W2084333685","https://openalex.org/W2084397310","https://openalex.org/W2113431893","https://openalex.org/W2120129518","https://openalex.org/W2149020252","https://openalex.org/W2151689136","https://openalex.org/W2151693816","https://openalex.org/W2159757022","https://openalex.org/W2160337655","https://openalex.org/W2171191044","https://openalex.org/W2401107664","https://openalex.org/W2542297596","https://openalex.org/W4297833809","https://openalex.org/W6682174001","https://openalex.org/W6713203545","https://openalex.org/W6763868703"],"related_works":["https://openalex.org/W52840052","https://openalex.org/W3162837891","https://openalex.org/W1687852313","https://openalex.org/W3029243869","https://openalex.org/W2502336004","https://openalex.org/W1741504538","https://openalex.org/W4308623176","https://openalex.org/W2019696434","https://openalex.org/W2358078963","https://openalex.org/W1578916557"],"abstract_inverted_index":{"Neural":[0],"tracking":[1,87],"using":[2,44,94],"electroencephalography":[3],"(EEG)":[4],"recordings":[5,36,95],"suffers":[6],"from":[7,34,54],"physiologic":[8],"and":[9,56],"extraphysiologic":[10],"artifacts.":[11,28,41,98],"We":[12],"propose":[13],"an":[14,73],"integrated":[15],"method":[16],"to":[17,39,51,68],"adaptively":[18],"track":[19],"multiple":[20,91],"neural":[21,92],"sources":[22,53,93],"while":[23],"reducing":[24],"the":[25,57,70,81,86],"effects":[26],"of":[27,72,76],"Time-frequency":[29],"features":[30],"are":[31,60],"first":[32],"extracted":[33],"EEG":[35],"without":[37],"pre-processing":[38],"suppress":[40],"Unsupervised":[42],"clustering":[43,58],"Gaussian":[45],"mixture":[46],"modeling":[47],"is":[48],"then":[49],"used":[50],"separate":[52],"artifacts,":[55],"results":[59,79],"incorporated":[61],"into":[62],"a":[63],"probability":[64],"hypothesis":[65],"density":[66],"filter":[67],"estimate":[69],"parameters":[71],"unknown":[74],"number":[75],"sources.":[77],"Simulation":[78],"demonstrate":[80],"method's":[82],"effectiveness":[83],"in":[84],"increasing":[85],"accuracy":[88],"performance":[89],"for":[90],"contaminated":[96],"by":[97]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}