{"id":"https://openalex.org/W4404232854","doi":"https://doi.org/10.1088/2632-2153/ad9135","title":"MSMGE-CNN: a multi-scale multi-graph embedding convolutional neural network for motor related EEG decoding","display_name":"MSMGE-CNN: a multi-scale multi-graph embedding convolutional neural network for motor related EEG decoding","publication_year":2024,"publication_date":"2024-11-11","ids":{"openalex":"https://openalex.org/W4404232854","doi":"https://doi.org/10.1088/2632-2153/ad9135"},"language":"en","primary_location":{"id":"doi:10.1088/2632-2153/ad9135","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ad9135","pdf_url":null,"source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1088/2632-2153/ad9135","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072638922","display_name":"Binren Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I3018263800","display_name":"Huzhou University","ror":"https://ror.org/04mvpxy20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3018263800"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Binren Wang","raw_affiliation_strings":["School of Information Engineering, Huzhou University, Huzhou 313000, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Huzhou University, Huzhou 313000, People\u2019s Republic of China","institution_ids":["https://openalex.org/I3018263800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061217738","display_name":"Minmin Miao","orcid":"https://orcid.org/0000-0002-8437-2412"},"institutions":[{"id":"https://openalex.org/I3018263800","display_name":"Huzhou University","ror":"https://ror.org/04mvpxy20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3018263800"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minmin Miao","raw_affiliation_strings":["School of Information Engineering, Huzhou University, Huzhou 313000, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Huzhou University, Huzhou 313000, People\u2019s Republic of China","institution_ids":["https://openalex.org/I3018263800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100365767","display_name":"Ke Zhang","orcid":"https://orcid.org/0000-0003-3271-3585"},"institutions":[{"id":"https://openalex.org/I3018263800","display_name":"Huzhou University","ror":"https://ror.org/04mvpxy20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3018263800"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Zhang","raw_affiliation_strings":["School of Information Engineering, Huzhou University, Huzhou 313000, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Huzhou University, Huzhou 313000, People\u2019s Republic of China","institution_ids":["https://openalex.org/I3018263800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100679521","display_name":"Wenzhe Liu","orcid":"https://orcid.org/0000-0001-7509-8557"},"institutions":[{"id":"https://openalex.org/I3018263800","display_name":"Huzhou University","ror":"https://ror.org/04mvpxy20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3018263800"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenzhe Liu","raw_affiliation_strings":["School of Information Engineering, Huzhou University, Huzhou 313000, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Huzhou University, Huzhou 313000, People\u2019s Republic of China","institution_ids":["https://openalex.org/I3018263800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010250378","display_name":"Zhenzhen Sheng","orcid":"https://orcid.org/0000-0002-5853-6882"},"institutions":[{"id":"https://openalex.org/I3018263800","display_name":"Huzhou University","ror":"https://ror.org/04mvpxy20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3018263800"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenzhen Sheng","raw_affiliation_strings":["School of Information Engineering, Huzhou University, Huzhou 313000, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Huzhou University, Huzhou 313000, People\u2019s Republic of China","institution_ids":["https://openalex.org/I3018263800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052477302","display_name":"Baoguo Xu","orcid":"https://orcid.org/0000-0001-7714-9645"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoguo Xu","raw_affiliation_strings":["School of Instrument Science and Engineering, Southeast University, Nanjing 210096, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Instrument Science and Engineering, Southeast University, Nanjing 210096, People\u2019s Republic of China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051886730","display_name":"Wenjun Hu","orcid":"https://orcid.org/0000-0002-5164-1102"},"institutions":[{"id":"https://openalex.org/I3018263800","display_name":"Huzhou University","ror":"https://ror.org/04mvpxy20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3018263800"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjun Hu","raw_affiliation_strings":["School of Information Engineering, Huzhou University, Huzhou 313000, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Huzhou University, Huzhou 313000, People\u2019s Republic of China","institution_ids":["https://openalex.org/I3018263800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5072638922"],"corresponding_institution_ids":["https://openalex.org/I3018263800"],"apc_list":{"value":1600,"currency":"GBP","value_usd":1962},"apc_paid":{"value":1600,"currency":"GBP","value_usd":1962},"fwci":1.8124,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85392148,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"5","issue":"4","first_page":"045047","last_page":"045047"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9969000220298767,"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":0.9969000220298767,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9488999843597412,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9319999814033508,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7278419137001038},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.633499264717102},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5896139144897461},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5711079835891724},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4407424032688141},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4376829266548157},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4366828203201294},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4209754467010498},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3672385811805725},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33149224519729614},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.21401336789131165},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.1834108829498291},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.17532947659492493},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12114807963371277},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.09159049391746521},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06386816501617432}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7278419137001038},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.633499264717102},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5896139144897461},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5711079835891724},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4407424032688141},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4376829266548157},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4366828203201294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4209754467010498},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3672385811805725},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33149224519729614},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.21401336789131165},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1834108829498291},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.17532947659492493},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12114807963371277},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.09159049391746521},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06386816501617432}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1088/2632-2153/ad9135","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ad9135","pdf_url":null,"source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:30f1db2292434f1daefaf35ae3f8994d","is_oa":true,"landing_page_url":"https://doaj.org/article/30f1db2292434f1daefaf35ae3f8994d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning: Science and Technology, Vol 5, Iss 4, p 045047 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1088/2632-2153/ad9135","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ad9135","pdf_url":null,"source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1681947506","display_name":null,"funder_award_id":"LTGC23F010001","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G745681964","display_name":null,"funder_award_id":"62101189","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"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":76,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1819910625","https://openalex.org/W1871047159","https://openalex.org/W1995014705","https://openalex.org/W2004894435","https://openalex.org/W2010371409","https://openalex.org/W2057072986","https://openalex.org/W2086142729","https://openalex.org/W2089554624","https://openalex.org/W2100132513","https://openalex.org/W2132360759","https://openalex.org/W2142280324","https://openalex.org/W2144383914","https://openalex.org/W2168500935","https://openalex.org/W2183659962","https://openalex.org/W2187089797","https://openalex.org/W2188364833","https://openalex.org/W2346353886","https://openalex.org/W2354225344","https://openalex.org/W2557301950","https://openalex.org/W2559463885","https://openalex.org/W2590081942","https://openalex.org/W2606913782","https://openalex.org/W2618851150","https://openalex.org/W2741907166","https://openalex.org/W2759030247","https://openalex.org/W2790404832","https://openalex.org/W2793397193","https://openalex.org/W2794345050","https://openalex.org/W2805050064","https://openalex.org/W2883732974","https://openalex.org/W2888183878","https://openalex.org/W2912885887","https://openalex.org/W2914503519","https://openalex.org/W2945848398","https://openalex.org/W2949263306","https://openalex.org/W2960600329","https://openalex.org/W2962862931","https://openalex.org/W2963287333","https://openalex.org/W2963542991","https://openalex.org/W2964015378","https://openalex.org/W2964321699","https://openalex.org/W2971518519","https://openalex.org/W3000231660","https://openalex.org/W3024961463","https://openalex.org/W3029821368","https://openalex.org/W3048351394","https://openalex.org/W3080551539","https://openalex.org/W3102003537","https://openalex.org/W3102455230","https://openalex.org/W3119308196","https://openalex.org/W3135511716","https://openalex.org/W3172787012","https://openalex.org/W3198121079","https://openalex.org/W3205895886","https://openalex.org/W3211804298","https://openalex.org/W4223921850","https://openalex.org/W4281919143","https://openalex.org/W4282829678","https://openalex.org/W4286581995","https://openalex.org/W4293451770","https://openalex.org/W4295517390","https://openalex.org/W4303986768","https://openalex.org/W4312597583","https://openalex.org/W4313201261","https://openalex.org/W4385338410","https://openalex.org/W4386476326","https://openalex.org/W4397011886","https://openalex.org/W6629368666","https://openalex.org/W6631190155","https://openalex.org/W6672048755","https://openalex.org/W6674818405","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6752075643","https://openalex.org/W6797135759"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2922348724","https://openalex.org/W200322357","https://openalex.org/W2130428257","https://openalex.org/W4308951944","https://openalex.org/W2057366091","https://openalex.org/W4312960290","https://openalex.org/W2049513647","https://openalex.org/W2988848585","https://openalex.org/W4233722919"],"abstract_inverted_index":{"Abstract":[0],"Deep":[1],"learning":[2],"technique":[3],"has":[4,16],"been":[5],"widely":[6],"used":[7,146],"for":[8,147],"decoding":[9,50],"motor":[10,22,148,217],"related":[11,23,218],"electroencephalography":[12],"(EEG)":[13],"signals,":[14,46],"which":[15,210],"considerably":[17],"driven":[18],"the":[19,121,137,190,197,203,214],"development":[20],"of":[21,43,116,155,185,192,207,216],"brain\u2013computer":[24],"interfaces":[25],"(BCIs).":[26],"However,":[27],"traditional":[28],"convolutional":[29],"neural":[30],"networks":[31],"(CNNs)":[32],"cannot":[33],"fully":[34],"represent":[35],"spatial":[36,127],"topology":[37],"information":[38,106],"and":[39,78,113,152,162,205],"dynamic":[40],"temporal":[41],"characteristics":[42],"multi-channel":[44,117],"EEG":[45,118,143],"resulting":[47],"in":[48,65],"limited":[49],"accuracy.":[51],"To":[52],"address":[53],"such":[54],"challenges,":[55],"a":[56,84,183],"novel":[57],"multi-scale":[58,75],"multi-graph":[59,79,105,131],"embedding":[60],"CNN":[61,86],"(MSMGE-CNN)":[62],"is":[63],"proposed":[64,69,138,198],"this":[66],"study.":[67],"The":[68],"MSMGE-CNN":[70,173,199],"contains":[71],"two":[72],"crucial":[73],"components:":[74],"time":[76,90,99],"convolution":[77,132],"embedding.":[80],"Specifically,":[81],"we":[82,103,180],"design":[83],"multi-branch":[85],"architecture":[87],"with":[88],"mixed-scale":[89],"convolutions":[91],"based":[92,108],"on":[93,109,140],"EEGNet":[94],"to":[95,124,188],"sufficiently":[96],"extract":[97],"robust":[98],"domain":[100],"features.":[101],"Afterward,":[102],"embed":[104],"obtained":[107,153],"physical":[110],"distance":[111],"proximity":[112],"functional":[114],"connectivity":[115],"signals":[119],"into":[120],"time-domain":[122],"features":[123],"capture":[125],"rich":[126],"topological":[128],"dependencies":[129],"via":[130],"operation.":[133],"We":[134],"extensively":[135],"evaluated":[136],"method":[139,200],"three":[141],"benchmark":[142],"datasets":[144],"commonly":[145],"imagery/execution":[149],"(MI/ME)":[150],"classification":[151],"accuracies":[154],"79.59%":[156],"(BCICIV-2a":[157],"Dataset),":[158,166],"69.77%":[159],"(OpenBMI":[160],"Dataset)":[161],"96.34%":[163],"(High":[164],"Gamma":[165],"respectively.":[167],"These":[168],"results":[169],"powerfully":[170],"demonstrate":[171],"that":[172],"outperforms":[174],"several":[175],"state-of-the-art":[176],"algorithms.":[177],"In":[178],"addition,":[179],"further":[181],"conducted":[182],"series":[184],"ablation":[186],"experiments":[187],"validate":[189],"rationality":[191],"our":[193],"network":[194],"architecture.":[195],"Overall,":[196],"dramatically":[201],"improves":[202],"accuracy":[204],"robustness":[206],"MI/ME-EEG":[208],"decoding,":[209],"can":[211],"effectively":[212],"enhance":[213],"performance":[215],"BCI":[219],"system.":[220]},"counts_by_year":[{"year":2025,"cited_by_count":5}],"updated_date":"2026-02-24T06:16:03.338239","created_date":"2025-10-10T00:00:00"}
