{"id":"https://openalex.org/W2910493959","doi":"https://doi.org/10.1109/cbs.2018.8612157","title":"Efficient Channel Selection Approach for Motor Imaginary Classification based on Convolutional Neural Network","display_name":"Efficient Channel Selection Approach for Motor Imaginary Classification based on Convolutional Neural Network","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2910493959","doi":"https://doi.org/10.1109/cbs.2018.8612157","mag":"2910493959"},"language":"en","primary_location":{"id":"doi:10.1109/cbs.2018.8612157","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbs.2018.8612157","pdf_url":null,"source":{"id":"https://openalex.org/S4306498323","display_name":"2018 IEEE International Conference on Cyborg and Bionic Systems (CBS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Cyborg and Bionic Systems (CBS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5026612259","display_name":"Deogratias Mzurikwao","orcid":"https://orcid.org/0000-0003-3405-4771"},"institutions":[{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Deogratias Mzurikwao","raw_affiliation_strings":["Intelligent Interactions Research Group, School of Engineering and Digital Arts, University of Kent, Canterbury, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Interactions Research Group, School of Engineering and Digital Arts, University of Kent, Canterbury, United Kingdom","institution_ids":["https://openalex.org/I20581793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010062612","display_name":"Chee Siang Ang","orcid":"https://orcid.org/0000-0002-1109-9689"},"institutions":[{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Chee Siang Ang","raw_affiliation_strings":["Intelligent Interactions Research Group, School of Engineering and Digital Arts, University of Kent, Canterbury, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Interactions Research Group, School of Engineering and Digital Arts, University of Kent, Canterbury, United Kingdom","institution_ids":["https://openalex.org/I20581793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042592657","display_name":"Oluwarotimi Williams Samuel","orcid":"https://orcid.org/0000-0003-1945-1402"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Oluwarotimi Williams Samuel","raw_affiliation_strings":["Laboratory of Human-Machine Intelligence-Synergy Systems, Chinese Academy of Sciences (CAS), Shenzhen Institutes of Advanced Technology (SIAT), Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Human-Machine Intelligence-Synergy Systems, Chinese Academy of Sciences (CAS), Shenzhen Institutes of Advanced Technology (SIAT), Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019162682","display_name":"Mojisola Grace Asogbon","orcid":"https://orcid.org/0009-0006-1503-9356"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mojisola Grace Asogbon","raw_affiliation_strings":["Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088961805","display_name":"Xiangxin Li","orcid":"https://orcid.org/0000-0003-1232-6182"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangxin Li","raw_affiliation_strings":["Laboratory of Human-Machine Intelligence-Synergy Systems, Chinese Academy of Sciences (CAS), Shenzhen Institutes of Advanced Technology (SIAT), Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Human-Machine Intelligence-Synergy Systems, Chinese Academy of Sciences (CAS), Shenzhen Institutes of Advanced Technology (SIAT), Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100636088","display_name":"Guanglin Li","orcid":"https://orcid.org/0000-0001-9016-2617"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanglin Li","raw_affiliation_strings":["Laboratory of Human-Machine Intelligence-Synergy Systems, Chinese Academy of Sciences (CAS), Shenzhen Institutes of Advanced Technology (SIAT), Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Human-Machine Intelligence-Synergy Systems, Chinese Academy of Sciences (CAS), Shenzhen Institutes of Advanced Technology (SIAT), Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"58","issue":null,"first_page":"418","last_page":"421"},"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":0.9962999820709229,"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":0.9824000000953674,"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/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.8626852035522461},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7830162644386292},{"id":"https://openalex.org/keywords/motor-imagery","display_name":"Motor imagery","score":0.7443555593490601},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7113568782806396},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.669434666633606},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6409734487533569},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6160733699798584},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.568371593952179},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.49495929479599},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4532613754272461},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4428390860557556},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43935829401016235},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4362720847129822},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4112612009048462},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3961801826953888},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3599141240119934},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12017399072647095},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08174857497215271}],"concepts":[{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.8626852035522461},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7830162644386292},{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.7443555593490601},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7113568782806396},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.669434666633606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6409734487533569},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6160733699798584},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.568371593952179},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.49495929479599},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4532613754272461},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4428390860557556},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43935829401016235},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4362720847129822},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4112612009048462},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3961801826953888},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3599141240119934},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12017399072647095},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08174857497215271},{"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/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cbs.2018.8612157","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbs.2018.8612157","pdf_url":null,"source":{"id":"https://openalex.org/S4306498323","display_name":"2018 IEEE International Conference on Cyborg and Bionic Systems (CBS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Cyborg and Bionic Systems (CBS)","raw_type":"proceedings-article"},{"id":"pmh:oai:kar.kent.ac.uk:73581","is_oa":false,"landing_page_url":"https://doi.org/10.1109/CBS.2018.8612157%E2%80%8B>)","pdf_url":null,"source":{"id":"https://openalex.org/S4377196264","display_name":"Kent Academic Repository (University of Kent)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I20581793","host_organization_name":"University of Kent","host_organization_lineage":["https://openalex.org/I20581793"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Conference proceeding"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W772526079","https://openalex.org/W1551271717","https://openalex.org/W1966321686","https://openalex.org/W2079732833","https://openalex.org/W2100409538","https://openalex.org/W2128909182","https://openalex.org/W2150590430","https://openalex.org/W2247141559","https://openalex.org/W2490215499","https://openalex.org/W2551054676","https://openalex.org/W2575907761","https://openalex.org/W2737951667","https://openalex.org/W2744802016","https://openalex.org/W2754649950","https://openalex.org/W2755883104","https://openalex.org/W2766309231","https://openalex.org/W2963861107","https://openalex.org/W6723019446"],"related_works":["https://openalex.org/W1977940006","https://openalex.org/W2887556756","https://openalex.org/W2947925238","https://openalex.org/W195417223","https://openalex.org/W1513407214","https://openalex.org/W1984377984","https://openalex.org/W1961545574","https://openalex.org/W2510077457","https://openalex.org/W3045772920","https://openalex.org/W2944296668"],"abstract_inverted_index":{"Brain":[0],"Computer":[1],"Interface":[2],"(BCI)":[3],"may":[4],"be":[5,19,30],"the":[6,61,69],"only":[7,176],"way":[8],"to":[9,32,99,121,148],"communicate":[10],"and":[11,79],"control":[12,35],"for":[13],"disabled":[14],"people.":[15],"Someone's":[16],"intention":[17,46],"can":[18,29],"decoded":[20],"from":[21,47,60,127,131,163],"their":[22,36],"brainwaves":[23,48],"during":[24,49,82,106],"motor":[25,50,124],"imagery":[26,51,125],"action.":[27],"This":[28],"used":[31,120],"help":[33],"them":[34],"environment":[37],"without":[38],"making":[39],"any":[40],"physical":[41],"movement.":[42],"To":[43],"decode":[44,122],"someone's":[45],"activities,":[52],"machine":[53,109],"learning":[54,110],"models":[55,173],"trained":[56,142,165,174],"on":[57,91,143,159,175],"features":[58],"extracted":[59,162],"acquired":[62],"EEG":[63,128,137,145],"signals":[64,129],"have":[65],"been":[66,72,169],"used.":[67],"Although":[68],"technique":[70],"has":[71,75,168],"successful,":[73],"it":[74],"encountered":[76],"several":[77],"limitations":[78],"difficulties":[80],"especially":[81],"feature":[83],"extraction.":[84],"Moreover,":[85],"many":[86],"current":[87],"BCI":[88],"systems":[89],"rely":[90],"a":[92,108,150,164,184],"large":[93],"number":[94],"of":[95,154,188,194],"channels":[96,136,179],"(e.g.":[97],"64)":[98],"capture":[100],"spatial":[101],"information":[102],"which":[103],"are":[104],"necessary":[105],"training":[107],"model.":[111],"In":[112],"this":[113],"study,":[114],"Convolutional":[115],"Neural":[116],"Network":[117],"(CNN)":[118],"is":[119],"five":[123],"intentions":[126],"obtained":[130],"four":[132],"subjects":[133],"using":[134],"64":[135],"device.":[138],"A":[139],"CNN":[140,166],"model":[141,167],"raw":[144],"data":[146],"managed":[147],"achieve":[149],"mean":[151],"classification":[152],"accuracy":[153,186],"99.7%.":[155],"Channel":[156],"selection":[157],"based":[158],"learned":[160],"weights":[161,182],"performed":[170],"with":[171,180],"subsequent":[172],"two":[177],"selected":[178],"higher":[181],"attained":[183],"high":[185],"(average":[187],"98%)":[189],"among":[190],"three":[191],"participants":[192],"out":[193],"four.":[195]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
