{"id":"https://openalex.org/W4408200520","doi":"https://doi.org/10.1109/cisp-bmei64163.2024.10906238","title":"An Attention-UNet Model to Remove Artifacts from Single-Channel EEG","display_name":"An Attention-UNet Model to Remove Artifacts from Single-Channel EEG","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4408200520","doi":"https://doi.org/10.1109/cisp-bmei64163.2024.10906238"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei64163.2024.10906238","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei64163.2024.10906238","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 17th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Suo Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Suo Chen","raw_affiliation_strings":["School of Information Science and Technology, East China University of Science and Technology,Department of Automation,Shanghai,200237"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, East China University of Science and Technology,Department of Automation,Shanghai,200237","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101589913","display_name":"Wang Bei","orcid":"https://orcid.org/0000-0003-1732-0003"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bei Wang","raw_affiliation_strings":["School of Information Science and Technology, East China University of Science and Technology,Department of Automation,Shanghai,200237"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, East China University of Science and Technology,Department of Automation,Shanghai,200237","institution_ids":["https://openalex.org/I143593769"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I143593769"],"apc_list":null,"apc_paid":null,"fwci":2.6409,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.91576674,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9337999820709229,"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":0.9337999820709229,"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/electroencephalography","display_name":"Electroencephalography","score":0.7702121734619141},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6537089347839355},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5411980748176575},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.17168375849723816},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.13561227917671204},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12749573588371277}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7702121734619141},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6537089347839355},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5411980748176575},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.17168375849723816},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.13561227917671204},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12749573588371277}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei64163.2024.10906238","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei64163.2024.10906238","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 17th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2000588262","https://openalex.org/W2050765368","https://openalex.org/W2068028305","https://openalex.org/W2344461865","https://openalex.org/W2770728546","https://openalex.org/W2913709404","https://openalex.org/W2915196348","https://openalex.org/W3018794429","https://openalex.org/W3161079408","https://openalex.org/W3191630664","https://openalex.org/W3202417708","https://openalex.org/W4200634062","https://openalex.org/W4307235828","https://openalex.org/W4321380930","https://openalex.org/W6687610498"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2922348724","https://openalex.org/W200322357","https://openalex.org/W2390279801","https://openalex.org/W2130428257","https://openalex.org/W4391913857","https://openalex.org/W4308951944","https://openalex.org/W2358668433"],"abstract_inverted_index":{"Electroencephalography":[0],"(EEG)":[1],"signals":[2],"are":[3],"often":[4],"unavoidably":[5],"contaminated":[6],"by":[7,40],"physiological":[8],"artifacts":[9,17],"during":[10],"acquisition.":[11],"Reducing":[12],"the":[13,26,73,82,114],"effects":[14],"of":[15],"these":[16],"is":[18,62,94],"important":[19],"for":[20,64,77],"various":[21],"EEG-based":[22],"interpretation":[23],"tasks.":[24],"However,":[25],"existing":[27,118],"deep":[28,56],"learning":[29,57],"EEG":[30,65],"denoising":[31],"methods":[32,119],"currently":[33],"have":[34],"some":[35],"shortcomings:":[36],"information":[37,79],"lost":[38],"caused":[39],"multiple":[41],"downsampling":[42],"and":[43,75,106,129],"upsampling,":[44],"artifact-related":[45,88],"regions":[46],"not":[47],"considered":[48],"separately,":[49],"etc.":[50],"In":[51],"this":[52],"study,":[53],"a":[54,97],"novel":[55],"network":[58,93],"named":[59],"Attention-Unet":[60],"(AUNet)":[61],"proposed":[63],"denoising.":[66],"AUNet":[67,116],"uses":[68],"skip":[69],"connections":[70],"to":[71],"connect":[72],"decoder":[74],"encoder":[76],"feature":[78],"fusion,":[80],"while":[81],"attention":[83],"gate":[84],"focuses":[85],"on":[86,96],"activating":[87],"area":[89],"information.":[90],"The":[91,109],"developed":[92],"evaluated":[95],"semi-simulated":[98],"dataset":[99],"including":[100,122],"ocular":[101],"electrocardiography":[102,107],"(EOG),":[103],"electromyography":[104],"(EMG),":[105],"(ECG).":[108],"experimental":[110],"results":[111],"show":[112],"that":[113],"presented":[115],"outperforms":[117],"in":[120],"metrics":[121],"relative":[123],"root":[124],"mean":[125],"square":[126],"error":[127],"(RRMSE)":[128],"signal-to-noise":[130],"ratio":[131],"improvement":[132],"(\u0394SNR).":[133]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}