{"id":"https://openalex.org/W4399205985","doi":"https://doi.org/10.1109/tsp.2024.3403965","title":"The WQN Algorithm for EEG Artifact Removal in the Absence of Scale Invariance","display_name":"The WQN Algorithm for EEG Artifact Removal in the Absence of Scale Invariance","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399205985","doi":"https://doi.org/10.1109/tsp.2024.3403965"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2024.3403965","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2024.3403965","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-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/A5070148507","display_name":"Matteo Dora","orcid":"https://orcid.org/0000-0002-6291-3898"},"institutions":[{"id":"https://openalex.org/I4210129409","display_name":"Institut de Biologie de l'\u00c9cole Normale Sup\u00e9rieure","ror":"https://ror.org/03mxktp47","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I2746051580","https://openalex.org/I29607241","https://openalex.org/I4210096427","https://openalex.org/I4210129409"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Matteo Dora","raw_affiliation_strings":["IBENS UMR8197, École Normale Supérieure – PSL, Paris, France"],"affiliations":[{"raw_affiliation_string":"IBENS UMR8197, École Normale Supérieure – PSL, Paris, France","institution_ids":["https://openalex.org/I4210129409"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069897104","display_name":"St\u00e9phane Jaffard","orcid":"https://orcid.org/0000-0003-1671-0608"},"institutions":[{"id":"https://openalex.org/I4210154111","display_name":"Universit\u00e9 Gustave Eiffel","ror":"https://ror.org/03x42jk29","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210154111"]},{"id":"https://openalex.org/I4210144844","display_name":"Laboratoire d\u2019Analyse et de Math\u00e9matiques Appliqu\u00e9es","ror":"https://ror.org/0581g8849","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I197681013","https://openalex.org/I4210141950","https://openalex.org/I4210144844","https://openalex.org/I4210154111"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"St\u00e9phane Jaffard","raw_affiliation_strings":["Univ. Paris Est Créteil, Université Gustave Eiffel, CNRS, LAMA UMR8050, Créteil, France"],"affiliations":[{"raw_affiliation_string":"Univ. Paris Est Créteil, Université Gustave Eiffel, CNRS, LAMA UMR8050, Créteil, France","institution_ids":["https://openalex.org/I4210144844","https://openalex.org/I1294671590","https://openalex.org/I4210154111"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006152136","display_name":"David Holcman","orcid":"https://orcid.org/0000-0001-9854-5014"},"institutions":[{"id":"https://openalex.org/I4210129409","display_name":"Institut de Biologie de l'\u00c9cole Normale Sup\u00e9rieure","ror":"https://ror.org/03mxktp47","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I2746051580","https://openalex.org/I29607241","https://openalex.org/I4210096427","https://openalex.org/I4210129409"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"David Holcman","raw_affiliation_strings":["IBENS UMR8197, École Normale Supérieure – PSL, Paris, France"],"affiliations":[{"raw_affiliation_string":"IBENS UMR8197, École Normale Supérieure – PSL, Paris, France","institution_ids":["https://openalex.org/I4210129409"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5070148507"],"corresponding_institution_ids":["https://openalex.org/I4210129409"],"apc_list":null,"apc_paid":null,"fwci":0.7501,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66955777,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"72","issue":null,"first_page":"2663","last_page":"2676"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9797000288963318,"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":0.9797000288963318,"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/T10320","display_name":"Neural Networks and Applications","score":0.9696999788284302,"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":0.9614999890327454,"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/artifact","display_name":"Artifact (error)","score":0.6554152965545654},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5828490853309631},{"id":"https://openalex.org/keywords/scale-invariance","display_name":"Scale invariance","score":0.5744560956954956},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5615853667259216},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5156396627426147},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.5050428509712219},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5031778216362},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.46188515424728394},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44756758213043213},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3553638458251953},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2852012515068054},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.19749855995178223},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12818235158920288},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10799816250801086}],"concepts":[{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.6554152965545654},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5828490853309631},{"id":"https://openalex.org/C135593079","wikidata":"https://www.wikidata.org/wiki/Q1750766","display_name":"Scale invariance","level":2,"score":0.5744560956954956},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5615853667259216},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5156396627426147},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.5050428509712219},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5031778216362},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.46188515424728394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44756758213043213},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3553638458251953},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2852012515068054},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.19749855995178223},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12818235158920288},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10799816250801086},{"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/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2024.3403965","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2024.3403965","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W133222871","https://openalex.org/W160785014","https://openalex.org/W224846134","https://openalex.org/W1510056001","https://openalex.org/W1977546873","https://openalex.org/W1982786600","https://openalex.org/W1988878611","https://openalex.org/W1991173695","https://openalex.org/W2000058300","https://openalex.org/W2000513984","https://openalex.org/W2002298102","https://openalex.org/W2007910156","https://openalex.org/W2009117216","https://openalex.org/W2017168078","https://openalex.org/W2031543773","https://openalex.org/W2042076346","https://openalex.org/W2067631298","https://openalex.org/W2072246452","https://openalex.org/W2089755390","https://openalex.org/W2103850068","https://openalex.org/W2105038642","https://openalex.org/W2116013899","https://openalex.org/W2127389037","https://openalex.org/W2128404967","https://openalex.org/W2132984323","https://openalex.org/W2145444715","https://openalex.org/W2150928879","https://openalex.org/W2158252006","https://openalex.org/W2203401776","https://openalex.org/W2214792530","https://openalex.org/W2610109047","https://openalex.org/W2612218357","https://openalex.org/W2909242796","https://openalex.org/W2973705981","https://openalex.org/W3104020249","https://openalex.org/W3170223063","https://openalex.org/W3202417708","https://openalex.org/W4210262226","https://openalex.org/W4214806317","https://openalex.org/W4245060668","https://openalex.org/W4248646870","https://openalex.org/W4289260841","https://openalex.org/W4292166786","https://openalex.org/W4321241632"],"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/W2023249001"],"abstract_inverted_index":{"Electroencephalogram":[0],"(EEG)":[1],"signals":[2,29],"reflect":[3],"brain":[4,8,35],"activity":[5],"across":[6],"different":[7,25],"states,":[9],"characterized":[10,47],"by":[11,48,114],"distinct":[12],"frequency":[13],"distributions.":[14],"Through":[15],"multifractal":[16],"analysis":[17],"tools,":[18],"we":[19,117,125],"investigate":[20],"the":[21,57,73,76,100,104,128,134,152],"scaling":[22],"behaviour":[23],"of":[24,27,53,59,64,75,89,103,133],"classes":[26],"EEG":[28,93],"and":[30,40,116,142,145],"artifacts.":[31],"We":[32,70,95,137],"show":[33,126],"that":[34,127],"states":[36],"associated":[37],"to":[38,120],"sleep":[39],"general":[41,46,97],"anaesthesia":[42],"are":[43],"not":[44],"in":[45,92],"scale":[49,54],"invariance.":[50],"The":[51],"lack":[52],"invariance":[55],"motivates":[56],"development":[58],"artifact":[60],"removal":[61],"algorithms":[62],"capable":[63],"operating":[65],"independently":[66],"at":[67],"each":[68],"scale.":[69],"examine":[71,139],"here":[72],"properties":[74,102,144],"wavelet":[77,135,153],"quantile":[78],"normalization":[79],"algorithm,":[80,106],"a":[81],"recently":[82],"introduced":[83,113],"adaptive":[84],"method":[85],"for":[86],"real-time":[87],"correction":[88],"transient":[90],"artifacts":[91],"signals.":[94],"establish":[96],"results":[98],"regarding":[99],"regularization":[101],"WQN":[105],"showing":[107],"how":[108],"it":[109,119],"can":[110],"eliminate":[111],"singularities":[112],"artefacts,":[115],"compare":[118],"traditional":[121],"thresholding":[122],"algorithms.":[123],"Furthermore,":[124],"algorithm":[129],"performance":[130],"is":[131],"independent":[132],"basis.":[136],"finally":[138],"its":[140,147],"continuity":[141],"boundedness":[143],"illustrate":[146],"distinctive":[148],"non-local":[149],"action":[150],"on":[151],"coefficients":[154],"through":[155],"pathological":[156],"examples.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}