{"id":"https://openalex.org/W4399989662","doi":"https://doi.org/10.1109/tim.2024.3418093","title":"Temporal Fusion Dynamically Separable Graph Convolutional Network for EEG Motion Intention Decoding Based on Source Information Extraction","display_name":"Temporal Fusion Dynamically Separable Graph Convolutional Network for EEG Motion Intention Decoding Based on Source Information Extraction","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399989662","doi":"https://doi.org/10.1109/tim.2024.3418093"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2024.3418093","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3418093","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/A5008541218","display_name":"Xianlun Tang","orcid":"https://orcid.org/0000-0002-9174-7366"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xianlun Tang","raw_affiliation_strings":["Chongqing Key Laboratory of Complex Systems and Bionic Control, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Complex Systems and Bionic Control, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083921901","display_name":"Tianzhu Wang","orcid":"https://orcid.org/0009-0009-9434-1781"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianzhu Wang","raw_affiliation_strings":["Chongqing Key Laboratory of Complex Systems and Bionic Control, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Complex Systems and Bionic Control, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100749623","display_name":"Xingchen Li","orcid":"https://orcid.org/0000-0002-3691-9516"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingchen Li","raw_affiliation_strings":["Chongqing Key Laboratory of Complex Systems and Bionic Control, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Complex Systems and Bionic Control, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099447376","display_name":"Wenbin Zhu","orcid":"https://orcid.org/0009-0003-9387-2050"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbin Zhu","raw_affiliation_strings":["Chongqing Key Laboratory of Complex Systems and Bionic Control, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Complex Systems and Bionic Control, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077600330","display_name":"Xinyi Hong","orcid":"https://orcid.org/0009-0008-8032-3446"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyi Hong","raw_affiliation_strings":["Key Laboratory of Data Engineering and Visual Computing, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Data Engineering and Visual Computing, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101785348","display_name":"Xinbo Gao","orcid":"https://orcid.org/0000-0003-1443-0776"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xinbo Gao","raw_affiliation_strings":["Guangyang Bay Laboratory, Chongqing Institute for Brain and Intelligence, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Guangyang Bay Laboratory, Chongqing Institute for Brain and Intelligence, Chongqing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5008541218"],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":null,"apc_paid":null,"fwci":2.7255,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.90908083,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"73","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9793000221252441,"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":0.9793000221252441,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9783999919891357,"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/decoding-methods","display_name":"Decoding methods","score":0.7630562782287598},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7075471878051758},{"id":"https://openalex.org/keywords/separable-space","display_name":"Separable space","score":0.5920505523681641},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5640698671340942},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5461673140525818},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5194775462150574},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49642640352249146},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4732697010040283},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.4692665934562683},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.45697957277297974},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4520131051540375},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4408690929412842},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.42529869079589844},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.42001938819885254},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.38800686597824097},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3485492169857025},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2145576775074005},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.19576364755630493},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10236963629722595},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08946457505226135}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7630562782287598},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7075471878051758},{"id":"https://openalex.org/C70710897","wikidata":"https://www.wikidata.org/wiki/Q680081","display_name":"Separable space","level":2,"score":0.5920505523681641},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5640698671340942},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5461673140525818},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5194775462150574},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49642640352249146},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4732697010040283},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.4692665934562683},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.45697957277297974},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4520131051540375},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4408690929412842},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.42529869079589844},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.42001938819885254},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.38800686597824097},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3485492169857025},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2145576775074005},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.19576364755630493},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10236963629722595},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08946457505226135},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2024.3418093","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3418093","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1969878365","https://openalex.org/W2109389996","https://openalex.org/W2115810652","https://openalex.org/W2116308679","https://openalex.org/W2143420533","https://openalex.org/W2144267444","https://openalex.org/W2147899888","https://openalex.org/W2187089797","https://openalex.org/W2559463885","https://openalex.org/W2741907166","https://openalex.org/W2798673040","https://openalex.org/W2907492528","https://openalex.org/W2944071464","https://openalex.org/W2944559085","https://openalex.org/W2962954129","https://openalex.org/W2964015378","https://openalex.org/W2970007912","https://openalex.org/W3007593444","https://openalex.org/W3045935375","https://openalex.org/W3080571847","https://openalex.org/W3102455230","https://openalex.org/W3121810080","https://openalex.org/W3128443161","https://openalex.org/W3153643636","https://openalex.org/W3186844663","https://openalex.org/W3194020089","https://openalex.org/W4205230192","https://openalex.org/W4205988666","https://openalex.org/W4220802538","https://openalex.org/W4282929256","https://openalex.org/W4289538860","https://openalex.org/W4294643355","https://openalex.org/W4295517390","https://openalex.org/W4296913786","https://openalex.org/W4312095769","https://openalex.org/W4312351417","https://openalex.org/W4312587355","https://openalex.org/W4312597583","https://openalex.org/W4313420849","https://openalex.org/W4319068569","https://openalex.org/W4387623723","https://openalex.org/W4387681954","https://openalex.org/W4388505032","https://openalex.org/W4389882816","https://openalex.org/W4391097085","https://openalex.org/W4392902112","https://openalex.org/W4396566655","https://openalex.org/W6681398298","https://openalex.org/W6720006811"],"related_works":["https://openalex.org/W2009525028","https://openalex.org/W4321064619","https://openalex.org/W3203142394","https://openalex.org/W2161474341","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2031175860","https://openalex.org/W2152662039"],"abstract_inverted_index":{"The":[0,82],"electroencephalogram":[1],"(EEG)":[2],"signals":[3],"acquired":[4],"through":[5],"scalp":[6],"electrodes":[7],"are":[8],"susceptible":[9],"to":[10,30,46,111,174],"the":[11,40,55,66,69,118,126,155,171],"volume":[12,58,121],"conduction":[13,59],"effect,":[14],"which":[15],"introduces":[16],"a":[17,35,44,48,102,143,176,188,203],"considerable":[18],"degree":[19,190],"of":[20,43,57,68,88,120,140,146,191],"redundant":[21],"information":[22,50,71],"and":[23,142,216],"consequently":[24],"hinders":[25],"decoding":[26],"accuracy.":[27],"In":[28],"response":[29],"this":[31],"challenge,":[32],"we":[33,169],"introduce":[34],"novel":[36],"methodology":[37,173],"that":[38],"incorporates":[39],"Laplacian":[41],"matrix":[42],"graph":[45,78,105],"construct":[47],"source":[49,70],"extraction":[51],"module,":[52],"effectively":[53],"mitigating":[54],"impact":[56],"in":[60,65,98,158,206,219],"electrodes.":[61],"This":[62,185],"innovation":[63],"culminates":[64],"development":[67],"extract-based":[72],"multiscale":[73],"temporal":[74,95],"fusion":[75],"dynamic":[76,103],"separable":[77,104],"convolution":[79,90,106],"network":[80],"(SIE-TFDSGCN).":[81],"proposed":[83],"method":[84],"employs":[85],"varying":[86],"lengths":[87],"time":[89],"for":[91,197,212],"fusion,":[92],"thereby":[93],"extracting":[94],"features":[96],"inherent":[97],"EEG":[99,207],"signals.":[100],"Furthermore,":[101],"(DSGCN)":[107],"structure":[108],"is":[109],"introduced":[110],"extract":[112],"spatial":[113],"features,":[114],"concurrently":[115],"further":[116],"reducing":[117],"influence":[119],"conduction.":[122],"Performance":[123],"evaluation":[124],"on":[125],"BCI":[127],"Competition":[128],"IV":[129],"2a":[130],"public":[131],"dataset":[132],"yielded":[133],"notable":[134],"results,":[135],"with":[136,210],"an":[137],"average":[138],"accuracy":[139,160],"82.48%":[141],"kappa":[144],"value":[145],"76.65.":[147],"Comparative":[148],"analysis":[149],"against":[150],"state-of-the-art":[151],"classification":[152,159],"methods":[153],"underscores":[154],"significant":[156],"enhancement":[157],"achieved":[161],"by":[162],"our":[163],"approach.":[164],"Expanding":[165],"upon":[166],"these":[167],"findings,":[168],"leverage":[170],"developed":[172],"design":[175],"brain-computer":[177],"interface":[178],"(BCI)":[179],"smart":[180,198,220],"home":[181,221],"online":[182],"control":[183,196],"system.":[184],"system":[186],"exhibits":[187],"high":[189],"reliability,":[192],"enabling":[193],"effective":[194],"real-time":[195],"homes.":[199],"Our":[200],"contributions":[201],"mark":[202],"substantial":[204],"advancement":[205],"signal":[208],"processing,":[209],"implications":[211],"both":[213],"neuroscientific":[214],"research":[215],"practical":[217],"applications":[218],"technology.":[222]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
