{"id":"https://openalex.org/W4405908873","doi":"https://doi.org/10.1109/icait62580.2024.10808116","title":"A Convolutional Neural Network Based Graph Theory for EEG Classification of Motor Imagery","display_name":"A Convolutional Neural Network Based Graph Theory for EEG Classification of Motor Imagery","publication_year":2024,"publication_date":"2024-08-16","ids":{"openalex":"https://openalex.org/W4405908873","doi":"https://doi.org/10.1109/icait62580.2024.10808116"},"language":"en","primary_location":{"id":"doi:10.1109/icait62580.2024.10808116","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icait62580.2024.10808116","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 16th International Conference on Advanced Infocomm Technology (ICAIT)","raw_type":"proceedings-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/A5107459667","display_name":"Xuedou Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuedou Xiong","raw_affiliation_strings":["School of Physics and Electronics, Shandong Normal University,Jinan,China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Electronics, Shandong Normal University,Jinan,China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101463302","display_name":"Hui Peng","orcid":"https://orcid.org/0000-0002-9794-9225"},"institutions":[{"id":"https://openalex.org/I4210162809","display_name":"Kashi University","ror":"https://ror.org/055a4rj94","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162809"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Peng","raw_affiliation_strings":["School of Physics and Electrical Engineering, Kashgar University,Kashgar,China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Electrical Engineering, Kashgar University,Kashgar,China","institution_ids":["https://openalex.org/I4210162809"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042422454","display_name":"Chaoyue Wang","orcid":"https://orcid.org/0000-0001-9402-1563"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoyue Wang","raw_affiliation_strings":["School of Physics and Electronics, Shandong Normal University,Jinan,China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Electronics, Shandong Normal University,Jinan,China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059684522","display_name":"Xuejun Gu","orcid":"https://orcid.org/0000-0001-6725-6906"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinhang Gu","raw_affiliation_strings":["School of Physics and Electronics, Shandong Normal University,Jinan,China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Electronics, Shandong Normal University,Jinan,China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016979615","display_name":"Yan-Chao Lou","orcid":"https://orcid.org/0009-0003-5797-8368"},"institutions":[{"id":"https://openalex.org/I4210162809","display_name":"Kashi University","ror":"https://ror.org/055a4rj94","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162809"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanchao Lou","raw_affiliation_strings":["School of Physics and Electrical Engineering, Kashgar University,Kashgar,China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Electrical Engineering, Kashgar University,Kashgar,China","institution_ids":["https://openalex.org/I4210162809"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100603280","display_name":"Juan Yang","orcid":"https://orcid.org/0000-0002-0130-866X"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Yang","raw_affiliation_strings":["School of Physics and Electronics, Shandong Normal University,Jinan,China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Electronics, Shandong Normal University,Jinan,China","institution_ids":["https://openalex.org/I28006308"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5107459667"],"corresponding_institution_ids":["https://openalex.org/I28006308"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22599682,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"194","last_page":"199"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.968999981880188,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10320","display_name":"Neural Networks and Applications","score":0.968999981880188,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9409999847412109,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6940035820007324},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6770268678665161},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5920116305351257},{"id":"https://openalex.org/keywords/motor-imagery","display_name":"Motor imagery","score":0.5856661796569824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5576037168502808},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.5467092990875244},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43276745080947876},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.420198529958725},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1946050524711609},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.1781221330165863},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.13637661933898926},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12382781505584717},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.0956132709980011}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6940035820007324},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6770268678665161},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5920116305351257},{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.5856661796569824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5576037168502808},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.5467092990875244},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43276745080947876},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.420198529958725},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1946050524711609},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.1781221330165863},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.13637661933898926},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12382781505584717},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0956132709980011},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icait62580.2024.10808116","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icait62580.2024.10808116","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 16th International Conference on Advanced Infocomm Technology (ICAIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2106006415","https://openalex.org/W2132360759","https://openalex.org/W2151669316","https://openalex.org/W2789939861","https://openalex.org/W2790404832","https://openalex.org/W2888355470","https://openalex.org/W2899435621","https://openalex.org/W2915196348","https://openalex.org/W3015898934","https://openalex.org/W3081502733","https://openalex.org/W3102856398","https://openalex.org/W3216674496","https://openalex.org/W4224993674","https://openalex.org/W4296614627","https://openalex.org/W4317435494","https://openalex.org/W4317795306","https://openalex.org/W4318460941","https://openalex.org/W4319081221","https://openalex.org/W4320912734","https://openalex.org/W4321507495","https://openalex.org/W4366452046","https://openalex.org/W4377226328","https://openalex.org/W4378189327","https://openalex.org/W4380234842","https://openalex.org/W4385285896","https://openalex.org/W4387642945","https://openalex.org/W4388038177","https://openalex.org/W6609426659"],"related_works":["https://openalex.org/W2041547723","https://openalex.org/W4399901117","https://openalex.org/W2951280790","https://openalex.org/W2922348724","https://openalex.org/W200322357","https://openalex.org/W2130428257","https://openalex.org/W4308951944","https://openalex.org/W2573071966","https://openalex.org/W3100645810","https://openalex.org/W2069106223"],"abstract_inverted_index":{"Electroencephalography":[0],"(EEG)":[1],"is":[2,53],"widely":[3],"used":[4,54,66],"due":[5,17],"to":[6,18,41,55,74,96,133],"their":[7],"high":[8],"temporal":[9],"resolution.":[10],"However,":[11],"accurate":[12,183],"classification":[13,44,93,130,154],"remains":[14],"a":[15,34,89,149,171],"challenge":[16],"the":[19,23,26,43,97,101,104,117,123,153],"non-stationary":[20],"nature":[21],"of":[22,28,46,103,122,156,163],"EEG":[24,61],"and":[25,69,119,140,167,184],"complexity":[27],"feature":[29],"extraction.":[30],"This":[31,146],"study":[32,147],"presents":[33,148],"convolutional":[35],"neural":[36],"network":[37,83],"based":[38],"graph":[39,137,164],"theory":[40,52,138,165],"improve":[42],"accuracy":[45,94,102,131,155],"motor":[47],"imagery":[48],"(MI)":[49],"EEG.":[50,160],"Graph":[51],"construct":[56],"spatial":[57],"relationship":[58],"models":[59],"between":[60],"electrodes.":[62],"Neural":[63],"networks":[64],"are":[65,72],"for":[67,143,151,174,181],"classification,":[68],"residual":[70,141,168],"connections":[71,142,169],"added":[73],"address":[75],"node":[76],"similarity":[77],"issues":[78],"that":[79],"arise":[80],"with":[81],"increasing":[82],"complexity.":[84,113],"The":[85,125,161],"experimental":[86],"results":[87,115],"demonstrate":[88,116],"significant":[90],"improvement":[91],"in":[92,177],"compared":[95,132],"traditional":[98],"method.":[99,124],"Specifically,":[100],"test":[105],"dataset":[106],"exceeds":[107],"70.83%":[108],"while":[109],"also":[110],"reducing":[111],"computational":[112],"These":[114],"robustness":[118],"generalize":[120],"ability":[121],"proposed":[126],"method":[127,150],"achieves":[128],"superior":[129],"existing":[134],"techniques":[135],"through":[136],"algorithms":[139,166],"EEG-based":[144],"BCI.":[145],"improving":[152],"MI":[157],"tasks":[158],"using":[159],"combination":[162],"provides":[170],"promising":[172],"avenue":[173],"future":[175],"research":[176],"this":[178],"field,":[179],"allowing":[180],"more":[182],"reliable":[185],"BCI":[186],"technologies.":[187]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
