{"id":"https://openalex.org/W4390423738","doi":"https://doi.org/10.1109/tim.2023.3342863","title":"A Dual-Branch Interactive Fusion Network to Remove Artifacts From Single-Channel EEG","display_name":"A Dual-Branch Interactive Fusion Network to Remove Artifacts From Single-Channel EEG","publication_year":2023,"publication_date":"2023-12-29","ids":{"openalex":"https://openalex.org/W4390423738","doi":"https://doi.org/10.1109/tim.2023.3342863"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2023.3342863","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3342863","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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/A5091512445","display_name":"Heng Cui","orcid":"https://orcid.org/0000-0001-7916-7353"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Heng Cui","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100429537","display_name":"Chang Li","orcid":"https://orcid.org/0000-0003-0195-1003"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Li","raw_affiliation_strings":["Department of Biomedical Engineering, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100756739","display_name":"Aiping Liu","orcid":"https://orcid.org/0000-0001-8849-5228"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aiping Liu","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027997590","display_name":"Ruobing Qian","orcid":"https://orcid.org/0000-0002-9559-1952"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruobing Qian","raw_affiliation_strings":["Department of Neurosurgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, Epilepsy Center, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Department of Neurosurgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, Epilepsy Center, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100451602","display_name":"Xun Chen","orcid":"https://orcid.org/0000-0002-4922-8116"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xun Chen","raw_affiliation_strings":["Department of Neurosurgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, Epilepsy Center, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Department of Neurosurgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, Epilepsy Center, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5091512445"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":3.9648,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.94506539,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"73","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9997000098228455,"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":0.9997000098228455,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9796000123023987,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7702052593231201},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7324635982513428},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7316534519195557},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.552100658416748},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.5293520092964172},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5220991373062134},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5200202465057373},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5005083084106445},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.4932636618614197},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4868178069591522},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.44619566202163696},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.43623900413513184},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4306780695915222},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.42447629570961},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.42205631732940674},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.33378374576568604},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12784326076507568},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10602173209190369},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0999930202960968}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7702052593231201},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7324635982513428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7316534519195557},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.552100658416748},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.5293520092964172},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5220991373062134},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5200202465057373},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5005083084106445},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.4932636618614197},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4868178069591522},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.44619566202163696},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.43623900413513184},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4306780695915222},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.42447629570961},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.42205631732940674},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.33378374576568604},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12784326076507568},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10602173209190369},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0999930202960968},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2023.3342863","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3342863","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5199999809265137}],"awards":[{"id":"https://openalex.org/G1970520617","display_name":null,"funder_award_id":"61922075","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5509323304","display_name":null,"funder_award_id":"41901350","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6672958094","display_name":null,"funder_award_id":"82272070","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7551557620","display_name":null,"funder_award_id":"32271431","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1971981854","https://openalex.org/W2017168078","https://openalex.org/W2046393968","https://openalex.org/W2049761669","https://openalex.org/W2079277602","https://openalex.org/W2082930519","https://openalex.org/W2194775991","https://openalex.org/W2262157003","https://openalex.org/W2473971983","https://openalex.org/W2508457857","https://openalex.org/W2739780474","https://openalex.org/W2783984851","https://openalex.org/W2791159829","https://openalex.org/W3016777030","https://openalex.org/W3018794429","https://openalex.org/W3080531158","https://openalex.org/W3113290170","https://openalex.org/W3143395880","https://openalex.org/W3161079408","https://openalex.org/W3202417708","https://openalex.org/W3215863450","https://openalex.org/W3217051877","https://openalex.org/W4210262226","https://openalex.org/W4220754763","https://openalex.org/W4225815212","https://openalex.org/W4297775537","https://openalex.org/W6737664043"],"related_works":["https://openalex.org/W3000097931","https://openalex.org/W2354322770","https://openalex.org/W4237547500","https://openalex.org/W1570848052","https://openalex.org/W2373192430","https://openalex.org/W4239268388","https://openalex.org/W4243305035","https://openalex.org/W1537496349","https://openalex.org/W2379407973","https://openalex.org/W2350267540"],"abstract_inverted_index":{"Electroencephalogram":[0],"(EEG)":[1],"obtained":[2],"from":[3,74,123,130],"the":[4,38,43,75,80,87,143,146,152,157,165,185],"scalp":[5],"is":[6,138],"often":[7],"polluted":[8],"with":[9],"various":[10],"artifacts.":[11,57,178],"Deep":[12],"learning":[13],"(DL)":[14],"has":[15],"been":[16],"preliminarily":[17],"explored":[18],"in":[19,48,104],"EEG":[20,89],"denoising":[21],"and":[22,90,96,110,149,176,191],"proved":[23],"to":[24,55,71,85,107,119,140],"be":[25],"more":[26],"promising":[27],"than":[28],"traditional":[29],"methods.":[30],"However,":[31],"existing":[32],"DL":[33],"methods":[34,187],"focus":[35],"on":[36,160,188],"recovering":[37],"clean":[39,88,153],"EEG,":[40],"while":[41],"ignoring":[42],"recovery":[44],"of":[45,145],"artifacts":[46,73,190],"present":[47],"contaminated":[49],"signals.":[50],"This":[51],"limits":[52],"their":[53],"ability":[54],"eliminate":[56],"In":[58,78,133],"this":[59],"article,":[60],"we":[61],"propose":[62],"a":[63,135],"dual-branch":[64],"interactive":[65],"fusion":[66,136],"neural":[67],"network,":[68],"called":[69],"EEGIFNet,":[70,79],"remove":[72],"single-channel":[76],"EEG.":[77,154],"two":[81,147],"branches":[82,129,148],"are":[83,102],"employed":[84],"recover":[86],"residual":[91,121],"artifacts,":[92],"respectively.":[93],"Convolution":[94],"layers":[95],"bidirectional":[97],"gated":[98],"recurrent":[99],"unit":[100],"(BiGRU)":[101],"cascaded":[103],"each":[105,131],"branch":[106],"capture":[108],"local":[109],"global":[111],"features.":[112],"We":[113,155],"also":[114],"introduce":[115],"an":[116],"interaction":[117],"module":[118,137],"extract":[120],"components":[122],"opposite":[124],"branches,":[125],"which":[126],"benefits":[127],"both":[128],"other.":[132],"addition,":[134],"designed":[139],"adaptively":[141],"fuse":[142],"outputs":[144],"finally":[150],"reconstruct":[151],"evaluate":[156],"proposed":[158],"method":[159],"publicly":[161],"available":[162],"datasets":[163],"including":[164],"electrooculogram":[166],"(EOG),":[167],"electromyography":[168],"(EMG),":[169],"electrocardiogram":[170],"(ECG),":[171],"power":[172],"line":[173],"interference":[174],"(PLI),":[175],"motion":[177],"Extensive":[179],"experiments":[180],"indicate":[181],"that":[182],"EEGIFNet":[183],"outperforms":[184],"state-of-the-art":[186],"diverse":[189],"signal-to-noise":[192],"(SNR)":[193],"levels.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":4}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}
