{"id":"https://openalex.org/W4400582994","doi":"https://doi.org/10.3233/ia-240025","title":"DL-based multi-artifact EEG denoising exploiting spectral information","display_name":"DL-based multi-artifact EEG denoising exploiting spectral information","publication_year":2024,"publication_date":"2024-07-12","ids":{"openalex":"https://openalex.org/W4400582994","doi":"https://doi.org/10.3233/ia-240025"},"language":"en","primary_location":{"id":"doi:10.3233/ia-240025","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ia-240025","pdf_url":null,"source":{"id":"https://openalex.org/S207922018","display_name":"Intelligenza Artificiale","issn_l":"1724-8035","issn":["1724-8035","2211-0097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligenza Artificiale","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/A5093136224","display_name":"Matteo Gabardi","orcid":null},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Matteo Gabardi","raw_affiliation_strings":["NeuroMI, Milan Center for Neuroscience, Milan, Italy","University of Milano-Bicocca, Milan, Italy","Xnext S.p.A., Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NeuroMI, Milan Center for Neuroscience, Milan, Italy","institution_ids":[]},{"raw_affiliation_string":"University of Milano-Bicocca, Milan, Italy","institution_ids":["https://openalex.org/I66752286"]},{"raw_affiliation_string":"Xnext S.p.A., Milan, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038865376","display_name":"Aurora Saibene","orcid":"https://orcid.org/0000-0002-4405-8234"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Aurora Saibene","raw_affiliation_strings":["NeuroMI, Milan Center for Neuroscience, Milan, Italy","University of Milano-Bicocca, Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NeuroMI, Milan Center for Neuroscience, Milan, Italy","institution_ids":[]},{"raw_affiliation_string":"University of Milano-Bicocca, Milan, Italy","institution_ids":["https://openalex.org/I66752286"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088609790","display_name":"Francesca Gasparini","orcid":"https://orcid.org/0000-0002-6279-6660"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesca Gasparini","raw_affiliation_strings":["NeuroMI, Milan Center for Neuroscience, Milan, Italy","University of Milano-Bicocca, Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NeuroMI, Milan Center for Neuroscience, Milan, Italy","institution_ids":[]},{"raw_affiliation_string":"University of Milano-Bicocca, Milan, Italy","institution_ids":["https://openalex.org/I66752286"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050810246","display_name":"Daniele Rizzo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daniele Rizzo","raw_affiliation_strings":["Xnext S.p.A., Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xnext S.p.A., Milan, Italy","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020281960","display_name":"Fabio Stella","orcid":"https://orcid.org/0000-0002-1394-0507"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabio Stella","raw_affiliation_strings":["NeuroMI, Milan Center for Neuroscience, Milan, Italy","University of Milano-Bicocca, Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NeuroMI, Milan Center for Neuroscience, Milan, Italy","institution_ids":[]},{"raw_affiliation_string":"University of Milano-Bicocca, Milan, Italy","institution_ids":["https://openalex.org/I66752286"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3026,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5556174,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"18","issue":"1","first_page":"89","last_page":"102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9980999827384949,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.7834850549697876},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6785458326339722},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6427156925201416},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5843591690063477},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5724847316741943},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4604334235191345},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.32212769985198975},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.20371106266975403},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.11118188500404358}],"concepts":[{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.7834850549697876},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6785458326339722},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6427156925201416},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5843591690063477},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5724847316741943},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4604334235191345},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32212769985198975},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.20371106266975403},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.11118188500404358}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/ia-240025","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ia-240025","pdf_url":null,"source":{"id":"https://openalex.org/S207922018","display_name":"Intelligenza Artificiale","issn_l":"1724-8035","issn":["1724-8035","2211-0097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligenza Artificiale","raw_type":"journal-article"},{"id":"pmh:oai:boa.unimib.it:10281/522619","is_oa":false,"landing_page_url":"https://hdl.handle.net/10281/522619","pdf_url":null,"source":{"id":"https://openalex.org/S4306401259","display_name":"BOA (University of Milano-Bicocca)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66752286","host_organization_name":"University of Milano-Bicocca","host_organization_lineage":["https://openalex.org/I66752286"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1970070014","https://openalex.org/W1997564847","https://openalex.org/W2002055708","https://openalex.org/W2007221293","https://openalex.org/W2012993152","https://openalex.org/W2019597965","https://openalex.org/W2056925087","https://openalex.org/W2119163516","https://openalex.org/W2132360759","https://openalex.org/W2150665176","https://openalex.org/W2254832494","https://openalex.org/W2521192355","https://openalex.org/W2534641366","https://openalex.org/W2611482981","https://openalex.org/W2806000515","https://openalex.org/W2914237854","https://openalex.org/W2915196348","https://openalex.org/W2924629150","https://openalex.org/W2990721662","https://openalex.org/W3003908700","https://openalex.org/W3161079408","https://openalex.org/W3162174351","https://openalex.org/W3202417708","https://openalex.org/W3204482166","https://openalex.org/W3215863450","https://openalex.org/W3217407136","https://openalex.org/W4206556457","https://openalex.org/W4221006728","https://openalex.org/W4255272544","https://openalex.org/W4285260853","https://openalex.org/W4304689482","https://openalex.org/W4307235828","https://openalex.org/W4309235147","https://openalex.org/W4310813449","https://openalex.org/W4323317194","https://openalex.org/W4324119390","https://openalex.org/W4361008442","https://openalex.org/W4378194592","https://openalex.org/W4378515050","https://openalex.org/W4386266156","https://openalex.org/W6639824700","https://openalex.org/W6677703192","https://openalex.org/W6679555981","https://openalex.org/W6729146115","https://openalex.org/W6759638512","https://openalex.org/W6802386528","https://openalex.org/W6809930514","https://openalex.org/W6842939187","https://openalex.org/W6850829318"],"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":{"The":[0,141],"artifacts":[1,58,180],"affecting":[2],"electroencephalographic":[3],"(EEG)":[4],"signals":[5,109],"may":[6,71],"undermine":[7],"the":[8,39,45,67,124],"correct":[9],"interpretation":[10],"of":[11,20,51,57],"neural":[12,82],"data":[13,49],"that":[14,122],"are":[15],"used":[16],"in":[17,42,159],"a":[18,116,147,172,183,187],"variety":[19],"applications":[21],"spanning":[22],"from":[23,110],"diagnosis":[24],"support":[25],"systems":[26],"to":[27,44,96,104,131,156,161,175],"recreational":[28],"brain-computer":[29],"interfaces.":[30],"Therefore,":[31],"removing":[32],"or":[33,178],"-":[34,37],"at":[35],"least":[36],"reducing":[38],"noise":[40,77,128,139],"content":[41],"respect":[43,160],"actual":[46,107],"brain":[47],"activity":[48],"becomes":[50],"fundamental":[52],"importance.":[53],"However,":[54],"manual":[55],"removal":[56],"is":[59,144],"not":[60],"always":[61],"applicable":[62],"and":[63,65,100,153,168],"appropriate,":[64],"sometimes":[66],"standard":[68],"denoising":[69,91,120],"techniques":[70],"encounter":[72],"problems":[73],"when":[74],"dealing":[75],"with":[76,81],"frequency":[78],"components":[79],"overlapping":[80],"responses.":[83],"In":[84],"recent":[85],"years,":[86],"deep":[87],"learning":[88],"(DL)":[89],"based":[90],"strategies":[92],"have":[93],"been":[94],"developed":[95],"overcome":[97],"these":[98],"challenges":[99],"learn":[101],"noise-related":[102],"patterns":[103],"better":[105,157],"discriminate":[106],"EEG":[108,119],"artifact-related":[111],"data.":[112],"This":[113],"study":[114],"presents":[115],"novel":[117],"DL-based":[118],"model":[121],"leverages":[123],"prior":[125],"knowledge":[126],"on":[127,146,186],"spectral":[129,169],"features":[130],"adaptively":[132],"compute":[133],"optimal":[134],"convolutional":[135],"filters":[136],"for":[137],"multi-artifact":[138],"removal.":[140],"proposed":[142],"strategy":[143],"evaluated":[145],"state-of-the-art":[148],"benchmark":[149],"dataset,":[150],"namely":[151],"EEGdenoiseNet,":[152],"achieves":[154],"comparable":[155],"performances":[158],"other":[162],"literature":[163],"works":[164],"considering":[165],"both":[166],"temporal":[167],"metrics,":[170],"providing":[171],"unique":[173],"solution":[174],"remove":[176],"muscle":[177],"ocular":[179],"without":[181],"needing":[182],"specific":[184],"training":[185],"particular":[188],"artifact":[189],"type.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}