{"id":"https://openalex.org/W4285104171","doi":"https://doi.org/10.1145/3532213.3532292","title":"Three-Class Motor Imagery Classification Based on SELU-EEGNet","display_name":"Three-Class Motor Imagery Classification Based on SELU-EEGNet","publication_year":2022,"publication_date":"2022-03-18","ids":{"openalex":"https://openalex.org/W4285104171","doi":"https://doi.org/10.1145/3532213.3532292"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3532213.3532292","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5043976050","display_name":"Dongze Li","orcid":"https://orcid.org/0000-0002-7548-7007"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongze Li","raw_affiliation_strings":["School of Mechanical and Electrical Engineering and Automation, Shanghai University, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering and Automation, Shanghai University, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101691668","display_name":"Banghua Yang","orcid":"https://orcid.org/0000-0002-8561-5631"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Banghua Yang","raw_affiliation_strings":["School of Mechanical and Electrical Engineering and Automation, Shanghai University, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering and Automation, Shanghai University, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100643096","display_name":"Jun Ma","orcid":"https://orcid.org/0000-0003-0029-796X"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Ma","raw_affiliation_strings":["School of Mechanical and Electrical Engineering and Automation, Shanghai University, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering and Automation, Shanghai University, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019196638","display_name":"Wenzheng Qiu","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenzheng Qiu","raw_affiliation_strings":["School of Mechanical and Electrical Engineering and Automation, Shanghai University, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering and Automation, Shanghai University, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.207,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.417182,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":72,"max":77},"biblio":{"volume":"7","issue":null,"first_page":"522","last_page":"527"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"Brain-Computer Interfaces in Neuroscience and Medicine","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":"Brain-Computer Interfaces in Neuroscience and Medicine","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":"Neural Interface Technology","score":0.9949,"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/T11707","display_name":"Eye Tracking in Human-Computer Interaction","score":0.9882,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/fist","display_name":"Fist","score":0.7620082},{"id":"https://openalex.org/keywords/brain-computer-interfaces","display_name":"Brain-Computer Interfaces","score":0.591673},{"id":"https://openalex.org/keywords/motor-imagery","display_name":"Motor Imagery","score":0.552465},{"id":"https://openalex.org/keywords/bci-technology","display_name":"BCI Technology","score":0.552103},{"id":"https://openalex.org/keywords/epilepsy-detection","display_name":"Epilepsy Detection","score":0.525169},{"id":"https://openalex.org/keywords/eeg-analysis","display_name":"EEG Analysis","score":0.524602},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.43852898}],"concepts":[{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.90126},{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.8805188},{"id":"https://openalex.org/C2780573568","wikidata":"https://www.wikidata.org/wiki/Q16743864","display_name":"Fist","level":2,"score":0.7620082},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.65048915},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.56387895},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5409023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4424718},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.43852898},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.42964062},{"id":"https://openalex.org/C2778818304","wikidata":"https://www.wikidata.org/wiki/Q1819478","display_name":"Rehabilitation","level":2,"score":0.4148315},{"id":"https://openalex.org/C2988438704","wikidata":"https://www.wikidata.org/wiki/Q2996165","display_name":"Motor function","level":2,"score":0.41384053},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.399689},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17583486},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.16546366},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1343905},{"id":"https://openalex.org/C42407357","wikidata":"https://www.wikidata.org/wiki/Q521","display_name":"Physiology","level":1,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3532213.3532292","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":9,"referenced_works":["https://openalex.org/W1975976087","https://openalex.org/W2074591889","https://openalex.org/W2082367612","https://openalex.org/W2142280324","https://openalex.org/W2623902889","https://openalex.org/W2741907166","https://openalex.org/W2791830995","https://openalex.org/W3040552008","https://openalex.org/W3102455230"],"related_works":["https://openalex.org/W3045772920","https://openalex.org/W2947925238","https://openalex.org/W2887556756","https://openalex.org/W2510077457","https://openalex.org/W2047816336","https://openalex.org/W1984377984","https://openalex.org/W1977940006","https://openalex.org/W1961545574","https://openalex.org/W195417223","https://openalex.org/W1513407214"],"abstract_inverted_index":{"The":[0],"Brain-Computer":[1,44],"Interface":[2,45],"(BCI)":[3],"is":[4,90,108],"a":[5,73],"system":[6,59,221],"that":[7,30],"directly":[8,49],"converts":[9],"brain":[10],"instructions":[11],"into":[12],"artificial":[13],"output":[14],"by":[15,31],"recording":[16],"and":[17,53,71,101,127,132,170,204,224],"decoding":[18,210],"the":[19,22,33,36,41,55,85,96,102,105,113,134,141,154,158,167,172,180,197,216],"activities":[20],"of":[21,35,76,84,95,99,104,129,151,185,193,202,218,227],"central":[23,57],"nervous":[24,58],"system.":[25],"Clinical":[26],"studies":[27],"have":[28],"demonstrated":[29],"imagining":[32],"movement":[34],"limbs":[37,98,107,226],"without":[38],"external":[39,51],"stimulation,":[40],"Motor":[42],"Imagery":[43],"(MI-BCI)":[46],"technology":[47],"can":[48,164],"control":[50],"equipment":[52,89],"restore":[54],"patient's":[56],"function.":[60],"It":[61],"enables":[62],"stroke":[63,228],"patients":[64],"to":[65,93,178],"actively":[66],"reclaim":[67],"their":[68],"motor":[69,119,182],"functions":[70],"achieves":[72],"higher":[74],"rate":[75,192],"recovery":[77],"than":[78],"conventional":[79],"treatment":[80],"methods.":[81],"However,":[82],"most":[83],"current":[86],"clinical":[87],"MI-BCI":[88,219],"only":[91],"used":[92,149,177],"rehabilitation":[94,103,220],"upper":[97,223],"patients,":[100],"lower":[106,225],"not":[109],"considered.":[110],"To":[111],"compensate":[112],"above":[114],"shortcomings,":[115],"we":[116],"designed":[117],"three-class":[118,181],"imagery":[120,183],"tasks":[121],"for":[122,215,222],"left-handed":[123],"fist,":[124,126],"right-handed":[125],"flexion":[128],"both":[130],"ankles,":[131],"collected":[133],"EEG":[135,184],"data":[136],"from":[137],"12":[138,186],"subjects.":[139],"In":[140],"existing":[142],"EEGNet":[143],"convolutional":[144,160],"neural":[145,161],"network,":[146,162],"SELU":[147],"was":[148,176],"instead":[150],"ELU":[152],"as":[153],"activation":[155],"function,":[156],"proposed":[157],"SELU-EEGNet":[159,175,207],"which":[163,212],"further":[165],"achieve":[166],"regularization":[168],"effect":[169],"improve":[171],"convergence":[173],"speed.":[174],"classify":[179],"subjects,":[187],"with":[188,196],"an":[189],"average":[190],"accuracy":[191],"71.14%.":[194],"Compared":[195],"two":[198],"deep":[199],"learning":[200],"structures":[201],"FBCNet":[203],"Deep":[205],"ConvNet,":[206],"has":[208],"better":[209],"performance,":[211],"provides":[213],"ideas":[214],"design":[217],"patients.":[229]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4285104171","counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2024-11-02T01:39:49.019447","created_date":"2022-07-14"}
