{"id":"https://openalex.org/W3001371310","doi":"https://doi.org/10.1109/robio49542.2019.8961384","title":"The Mechanism of a Multi-Branch Structure for EEG-Based Motor Imagery Classification","display_name":"The Mechanism of a Multi-Branch Structure for EEG-Based Motor Imagery Classification","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3001371310","doi":"https://doi.org/10.1109/robio49542.2019.8961384","mag":"3001371310"},"language":"en","primary_location":{"id":"doi:10.1109/robio49542.2019.8961384","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio49542.2019.8961384","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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/A5101602016","display_name":"Haifeng Zhou","orcid":"https://orcid.org/0000-0003-4751-0596"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haifeng Zhou","raw_affiliation_strings":["Soochow University,School of Mechanical and Electrical Engineering,Suzhou,China,215000","School of Mechanical and Electrical Engineering, Soochow University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"Soochow University,School of Mechanical and Electrical Engineering,Suzhou,China,215000","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119271918","display_name":"Xinqiao Zhao","orcid":"https://orcid.org/0000-0002-9087-008X"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinqiao Zhao","raw_affiliation_strings":["Soochow University,School of Mechanical and Electrical Engineering,Suzhou,China,215000","School of Mechanical and Electrical Engineering, Soochow University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"Soochow University,School of Mechanical and Electrical Engineering,Suzhou,China,215000","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071463104","display_name":"Hongmiao Zhang","orcid":"https://orcid.org/0000-0003-2073-7125"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongmiao Zhang","raw_affiliation_strings":["Soochow University,School of Mechanical and Electrical Engineering,Suzhou,China,215000","School of Mechanical and Electrical Engineering, Soochow University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"Soochow University,School of Mechanical and Electrical Engineering,Suzhou,China,215000","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078637362","display_name":"Shaolong Kuang","orcid":"https://orcid.org/0000-0001-5590-7943"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaolong Kuang","raw_affiliation_strings":["Soochow University,School of Mechanical and Electrical Engineering,Suzhou,China,215000","School of Mechanical and Electrical Engineering, Soochow University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"Soochow University,School of Mechanical and Electrical Engineering,Suzhou,China,215000","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101602016"],"corresponding_institution_ids":["https://openalex.org/I3923682"],"apc_list":null,"apc_paid":null,"fwci":0.7297,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.70291004,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2473","last_page":"2477"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"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":1.0,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7576978802680969},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6661065816879272},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6152709722518921},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5800433158874512},{"id":"https://openalex.org/keywords/motor-imagery","display_name":"Motor imagery","score":0.5782716274261475},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.36355113983154297},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.08916836977005005}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7576978802680969},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6661065816879272},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6152709722518921},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5800433158874512},{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.5782716274261475},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.36355113983154297},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.08916836977005005},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio49542.2019.8961384","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio49542.2019.8961384","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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":27,"referenced_works":["https://openalex.org/W1526436178","https://openalex.org/W1596040508","https://openalex.org/W1967131163","https://openalex.org/W1969878365","https://openalex.org/W1974945869","https://openalex.org/W2012485898","https://openalex.org/W2015592526","https://openalex.org/W2090262261","https://openalex.org/W2132015164","https://openalex.org/W2136897104","https://openalex.org/W2150590430","https://openalex.org/W2249619324","https://openalex.org/W2288754303","https://openalex.org/W2317796602","https://openalex.org/W2468059673","https://openalex.org/W2545156751","https://openalex.org/W2619514794","https://openalex.org/W2741907166","https://openalex.org/W2762006829","https://openalex.org/W2766914981","https://openalex.org/W2894424125","https://openalex.org/W2899435621","https://openalex.org/W2962699674","https://openalex.org/W2971075653","https://openalex.org/W6631494570","https://openalex.org/W6728716113","https://openalex.org/W6745690118"],"related_works":["https://openalex.org/W2041547723","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/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"In":[0,29,82],"the":[1,21,44,87,90,95,98,106,114,138,163,174],"field":[2],"of":[3,20,89,97,159,173],"motor":[4],"imagery":[5],"(MI)":[6],"classification,":[7],"it":[8,53],"is":[9,66,124,181],"a":[10,33,48,55],"great":[11],"challenge":[12],"to":[13,75,85,119],"preserve":[14],"temporal":[15],"features":[16],"and":[17,51,72,108,151,187],"spatial":[18],"ones":[19],"electroencephalogram":[22],"(EEG)":[23],"data":[24,46],"simultaneously":[25],"for":[26,36],"effective":[27],"processing.":[28],"our":[30],"former":[31],"study,":[32],"novel":[34],"framework":[35,96],"MI":[37,131],"classification":[38,132,147],"has":[39],"been":[40],"proposed,":[41],"which":[42],"represents":[43],"EEG":[45,193],"into":[47],"3D":[49,57,64,141],"form":[50],"handles":[52],"with":[54,68,101,113,166],"multi-branch":[56,91,99,111,122,140,179],"convolutional":[58],"neural":[59],"network":[60,100,118,165,176],"(3D":[61],"CNN).":[62],"The":[63,170],"CNN":[65,142],"constructed":[67],"three":[69,102,167],"different":[70,110,168],"branches":[71],"already":[73],"proved":[74],"be":[76],"better":[77,125,153,182],"than":[78,126,154,183],"one":[79,116,127,184],"branch":[80,107,117,128,185],"network.":[81],"this":[83],"paper,":[84],"study":[86],"mechanism":[88],"structure,":[92],"we":[93],"modify":[94],"same":[103],"networks":[104,112],"as":[105],"compare":[109],"corresponding":[115],"find":[120],"whether":[121],"structure":[123,129,180,186],"in":[130,157,192],"tasks.":[133],"Experiment":[134],"results":[135],"revealed":[136],"that":[137],"modified":[139,175],"can":[143],"also":[144],"reach":[145],"state-of-the-art":[146],"kappa":[148],"value":[149,191],"level":[150],"performs":[152],"other":[155],"methods":[156],"terms":[158],"standard":[160],"deviation":[161],"including":[162],"original":[164],"branches.":[169],"good":[171],"performance":[172],"may":[177],"reflect":[178],"shows":[188],"its":[189],"application":[190],"classification.":[194]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}