{"id":"https://openalex.org/W7124132349","doi":"https://doi.org/10.1145/3777577.3777665","title":"A Time-Domain Audio Separation Network with Frequency-Domain Attention and Adaptive Convolution for Electroencephalogram Denoising","display_name":"A Time-Domain Audio Separation Network with Frequency-Domain Attention and Adaptive Convolution for Electroencephalogram Denoising","publication_year":2025,"publication_date":"2025-10-24","ids":{"openalex":"https://openalex.org/W7124132349","doi":"https://doi.org/10.1145/3777577.3777665"},"language":null,"primary_location":{"id":"doi:10.1145/3777577.3777665","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3777577.3777665","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 6th International Symposium on Artificial Intelligence for Medical Sciences","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3777577.3777665","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039467744","display_name":"Chengde Lin","orcid":"https://orcid.org/0000-0002-9189-3435"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]},{"id":"https://openalex.org/I2803007516","display_name":"Tianjin Economic-Technological Development Area","ror":"https://ror.org/010fbpe82","country_code":"CN","type":"government","lineage":["https://openalex.org/I2803007516"]},{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chengde Lin","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China","School of Artificial Intelligence, Guilin University of Electronic Technology, Guilin, Guangxi, China","Tianjin Economic and Technological Development Area Aojin High-tech Co., Ltd., Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"School of Artificial Intelligence, Guilin University of Electronic Technology, Guilin, Guangxi, China","institution_ids":["https://openalex.org/I5343935"]},{"raw_affiliation_string":"Tianjin Economic and Technological Development Area Aojin High-tech Co., Ltd., Tianjin, China","institution_ids":["https://openalex.org/I2803007516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120824526","display_name":"Qixuan Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qixuan Lv","raw_affiliation_strings":["School of Artificial Intelligence, Guilin University of Electronic Technology, Guilin, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Guilin University of Electronic Technology, Guilin, Guangxi, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119958646","display_name":"Chengjun Mo","orcid":null},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengjun Mo","raw_affiliation_strings":["School of Artificial Intelligence, Guilin University of Electronic Technology, Guilin, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Guilin University of Electronic Technology, Guilin, Guangxi, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123034445","display_name":"Mingzhe Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingzhe Yang","raw_affiliation_strings":["School of Artificial Intelligence, Guilin University of Electronic Technology, Guilin, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Guilin University of Electronic Technology, Guilin, Guangxi, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122994100","display_name":"Le Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Yang","raw_affiliation_strings":["School of Artificial Intelligence, Guilin University of Electronic Technology, Guilin, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Guilin University of Electronic Technology, Guilin, Guangxi, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123038393","display_name":"Qiuyuan Gan","orcid":null},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiuyuan Gan","raw_affiliation_strings":["School of Artificial Intelligence, Guilin University of Electronic Technology, Guilin, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Guilin University of Electronic Technology, Guilin, Guangxi, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100337866","display_name":"Guohui Li","orcid":"https://orcid.org/0000-0001-6984-1914"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]},{"id":"https://openalex.org/I2803007516","display_name":"Tianjin Economic-Technological Development Area","ror":"https://ror.org/010fbpe82","country_code":"CN","type":"government","lineage":["https://openalex.org/I2803007516"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guohui Li","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China","Tianjin Economic and Technological Development Area Aojin High-tech Co., Ltd., Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"Tianjin Economic and Technological Development Area Aojin High-tech Co., Ltd., Tianjin, China","institution_ids":["https://openalex.org/I2803007516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5039467744"],"corresponding_institution_ids":["https://openalex.org/I162868743","https://openalex.org/I2803007516","https://openalex.org/I5343935"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.71023227,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"535","last_page":"541"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.8335000276565552,"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":0.8335000276565552,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.05119999870657921,"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"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.014700000174343586,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6532999873161316},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6517999768257141},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6195999979972839},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5662000179290771},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5424000024795532},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.4887999892234802},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4562000036239624},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4433000087738037},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.3885999917984009}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7476999759674072},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.682200014591217},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6532999873161316},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6517999768257141},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6195999979972839},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5662000179290771},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5424000024795532},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.4887999892234802},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4700999855995178},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4562000036239624},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4433000087738037},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3885999917984009},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3808000087738037},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.3582000136375427},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.3434000015258789},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.3199000060558319},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.3183000087738037},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.3109999895095825},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.30790001153945923},{"id":"https://openalex.org/C2988494973","wikidata":"https://www.wikidata.org/wiki/Q179448","display_name":"Noise immunity","level":3,"score":0.3001999855041504},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.29440000653266907},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.27459999918937683},{"id":"https://openalex.org/C100675267","wikidata":"https://www.wikidata.org/wiki/Q1371624","display_name":"Background noise","level":2,"score":0.2619999945163727},{"id":"https://openalex.org/C127220857","wikidata":"https://www.wikidata.org/wiki/Q2719318","display_name":"Audio signal processing","level":4,"score":0.2524999976158142},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3777577.3777665","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3777577.3777665","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 6th International Symposium on Artificial Intelligence for Medical Sciences","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3777577.3777665","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3777577.3777665","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 6th International Symposium on Artificial Intelligence for Medical Sciences","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2105271344","https://openalex.org/W2183341477","https://openalex.org/W2534641366","https://openalex.org/W2560533888","https://openalex.org/W2914237854","https://openalex.org/W2952218014","https://openalex.org/W2995025901","https://openalex.org/W3161079408","https://openalex.org/W3202417708","https://openalex.org/W4391490399","https://openalex.org/W4399042891","https://openalex.org/W4402352655","https://openalex.org/W4402945727","https://openalex.org/W4406259832","https://openalex.org/W4406259984","https://openalex.org/W4406892125","https://openalex.org/W4408955201"],"related_works":[],"abstract_inverted_index":{"Electroencephalogram":[0],"(EEG)":[1],"signals":[2,59],"are":[3,11,88],"crucial":[4],"for":[5,126],"analyzing":[6],"brain":[7],"activities,":[8],"but":[9],"they":[10],"often":[12],"affected":[13],"by":[14,60],"various":[15],"noise":[16,55,98],"sources,":[17],"limiting":[18],"their":[19],"effectiveness":[20],"in":[21,57],"clinical":[22],"and":[23,63,68,82,118],"research":[24],"settings.":[25],"This":[26],"study":[27],"proposes":[28],"an":[29,78],"enhanced":[30],"deep":[31],"learning":[32],"model":[33,52,92,105],"based":[34],"on":[35],"the":[36,45,91,104],"Convolutional":[37],"Time-Domain":[38],"Audio":[39],"Separation":[40],"Network":[41],"(Conv-TasNet)":[42],"to":[43,93],"improve":[44],"denoising":[46,121],"performance":[47],"of":[48,130],"EEG":[49,58,131],"signals.":[50],"The":[51],"effectively":[53],"enhances":[54],"suppression":[56],"combining":[61],"frequency":[62],"time-domain":[64],"feature":[65,85],"extraction":[66],"techniques":[67],"incorporating":[69],"a":[70,74,83,127],"self-attention":[71],"mechanism.":[72],"Additionally,":[73],"multi-scale":[75],"convolution":[76,80],"block,":[77,81],"adaptive":[79],"spatio-temporal":[84],"fusion":[86],"module":[87],"integrated":[89],"into":[90],"enhance":[94],"robustness":[95],"against":[96],"multiple":[97],"sources.":[99],"Experimental":[100],"results":[101],"demonstrate":[102],"that":[103],"outperforms":[106],"traditional":[107],"methods":[108],"across":[109],"several":[110],"evaluation":[111],"metrics,":[112],"particularly":[113],"when":[114],"handling":[115],"complex":[116],"noise,":[117],"exhibits":[119],"significant":[120],"effectiveness,":[122],"making":[123],"it":[124],"suitable":[125],"wide":[128],"range":[129],"signal":[132],"processing":[133],"tasks.":[134]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2026-01-15T00:00:00"}