{"id":"https://openalex.org/W4387717412","doi":"https://doi.org/10.1109/access.2023.3325283","title":"Group-Level Interpretation of Electroencephalography Signals Using Compact Convolutional Neural Networks","display_name":"Group-Level Interpretation of Electroencephalography Signals Using Compact Convolutional Neural Networks","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387717412","doi":"https://doi.org/10.1109/access.2023.3325283"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3325283","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2023.3325283","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dx.doi.org/10.1109/access.2023.3325283","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052063259","display_name":"Hyosung Joo","orcid":"https://orcid.org/0000-0002-0163-289X"},"institutions":[{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyosung Joo","raw_affiliation_strings":["Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, Republic of Korea","institution_ids":["https://openalex.org/I40542001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034427702","display_name":"Luong Do Anh Quan","orcid":"https://orcid.org/0000-0002-4075-3977"},"institutions":[{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Luong Do Anh Quan","raw_affiliation_strings":["Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-4075-3977","affiliations":[{"raw_affiliation_string":"Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, Republic of Korea","institution_ids":["https://openalex.org/I40542001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103201488","display_name":"L\u00ea Th\u1ecb Trang","orcid":null},"institutions":[{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Le Thi Trang","raw_affiliation_strings":["Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-4002-1581","affiliations":[{"raw_affiliation_string":"Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, Republic of Korea","institution_ids":["https://openalex.org/I40542001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100745975","display_name":"Dongseok Kim","orcid":"https://orcid.org/0000-0002-9876-3393"},"institutions":[{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dongseok Kim","raw_affiliation_strings":["Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, Republic of Korea","institution_ids":["https://openalex.org/I40542001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077081621","display_name":"Jihwan Woo","orcid":"https://orcid.org/0000-0003-2227-5948"},"institutions":[{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jihwan Woo","raw_affiliation_strings":["Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-2227-5948","affiliations":[{"raw_affiliation_string":"Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, Republic of Korea","institution_ids":["https://openalex.org/I40542001"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I40542001"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.324,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57786989,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"11","issue":null,"first_page":"114992","last_page":"115001"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998000264167786,"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":0.9998000264167786,"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/T10320","display_name":"Neural Networks and Applications","score":0.9962999820709229,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.8470529317855835},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7716528177261353},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6894769668579102},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.519973874092102},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.49180248379707336},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48398804664611816},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4389965832233429},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3617017865180969},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09483596682548523},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.07479497790336609},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.05421695113182068}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.8470529317855835},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7716528177261353},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6894769668579102},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.519973874092102},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.49180248379707336},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48398804664611816},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4389965832233429},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3617017865180969},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09483596682548523},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.07479497790336609},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05421695113182068},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3325283","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2023.3325283","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:909b15054e7a4d8e8bf362b2b59f1b78","is_oa":true,"landing_page_url":"https://doaj.org/article/909b15054e7a4d8e8bf362b2b59f1b78","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 114992-115001 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3325283","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2023.3325283","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4262327845","display_name":null,"funder_award_id":"NRF-2020R1A2C2003319","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W1480506467","https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W1555594295","https://openalex.org/W1677182931","https://openalex.org/W1967970656","https://openalex.org/W1968417898","https://openalex.org/W2000261872","https://openalex.org/W2016479629","https://openalex.org/W2018440299","https://openalex.org/W2037347936","https://openalex.org/W2089259127","https://openalex.org/W2091400145","https://openalex.org/W2106822551","https://openalex.org/W2116308679","https://openalex.org/W2128495200","https://openalex.org/W2140541289","https://openalex.org/W2155658404","https://openalex.org/W2171746332","https://openalex.org/W2559463885","https://openalex.org/W2605409611","https://openalex.org/W2611482981","https://openalex.org/W2617052765","https://openalex.org/W2765898311","https://openalex.org/W2793161294","https://openalex.org/W2883597459","https://openalex.org/W2886201417","https://openalex.org/W2914237854","https://openalex.org/W2915149867","https://openalex.org/W2915893085","https://openalex.org/W2919115771","https://openalex.org/W2963351448","https://openalex.org/W2963355311","https://openalex.org/W2963855133","https://openalex.org/W2963915399","https://openalex.org/W2964616019","https://openalex.org/W2981731882","https://openalex.org/W2982126608","https://openalex.org/W2982655240","https://openalex.org/W2999520050","https://openalex.org/W3000978293","https://openalex.org/W3005864656","https://openalex.org/W3009188842","https://openalex.org/W3010219363","https://openalex.org/W3017642177","https://openalex.org/W3030420691","https://openalex.org/W3033523981","https://openalex.org/W3040854424","https://openalex.org/W3045676091","https://openalex.org/W3048030262","https://openalex.org/W3049464275","https://openalex.org/W3090425814","https://openalex.org/W3102455230","https://openalex.org/W3116286104","https://openalex.org/W3124617164","https://openalex.org/W3126287844","https://openalex.org/W3126633542","https://openalex.org/W3158433777","https://openalex.org/W3171209108","https://openalex.org/W3196236986","https://openalex.org/W3209901185","https://openalex.org/W3216065183","https://openalex.org/W4200389064","https://openalex.org/W4210716210","https://openalex.org/W4280612643","https://openalex.org/W4295312788","https://openalex.org/W4310525312","https://openalex.org/W4320495787","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6736518430","https://openalex.org/W6766978945","https://openalex.org/W6780576590","https://openalex.org/W6781575362"],"related_works":["https://openalex.org/W4313320911","https://openalex.org/W4327743144","https://openalex.org/W2922348724","https://openalex.org/W200322357","https://openalex.org/W4245077728","https://openalex.org/W2130428257","https://openalex.org/W2607424049","https://openalex.org/W4390922876","https://openalex.org/W3183204001","https://openalex.org/W4206302830"],"abstract_inverted_index":{"Despite":[0],"the":[1,13,18,34,51,68,73,95,106,114,127,131,139,143,147,153,158,162,173,192],"excellent":[2],"performance":[3],"of":[4,15,20,54,67,126,183,188,194],"deep":[5,21],"learning":[6,22],"models":[7],"for":[8,49],"decoding":[9],"electroencephalography":[10],"(EEG)":[11],"signals,":[12],"lack":[14],"explainability":[16],"hinders":[17],"implementation":[19],"techniques":[23],"in":[24,146,152,161,177],"neuroscience.":[25],"Although":[26],"recently":[27],"developed":[28],"solutions":[29],"ensure":[30],"physiologically":[31],"plausible":[32],"interpretations,":[33],"robustness":[35],"against":[36],"subject":[37,205],"variability":[38,206],"and":[39,72,94,99,156,180,207],"artifacts":[40],"requires":[41],"further":[42],"improvement.":[43],"This":[44],"study":[45,190],"presents":[46],"a":[47,58,90,119],"method":[48,86],"obtaining":[50],"group-level":[52,84,116,148,195],"interpretation":[53],"EEG":[55],"signals":[56],"using":[57,89,113],"compact":[59,199],"convolutional":[60,65],"neural":[61],"network":[62],"(CNN).":[63],"The":[64,82,109,186],"filters":[66],"CNN":[69],"were":[70,79,97,150],"clustered,":[71],"clusters":[74],"with":[75,102,168],"high":[76],"task-relevant":[77,132],"scores":[78],"selectively":[80],"interpreted.":[81],"proposed":[83,115],"analysis":[85,117,149,175,196],"was":[87],"validated":[88],"motor":[91,169],"imagery":[92,170],"dataset,":[93],"results":[96],"visually":[98],"quantitatively":[100],"compared":[101],"those":[103,136],"obtained":[104],"from":[105,130],"individual-level":[107,140,174],"analysis.":[108,141],"cortical":[110,133,144,184],"sources":[111,145],"interpreted":[112,137],"exhibited":[118],"significantly":[120],"smaller":[121],"root":[122],"mean":[123],"square":[124],"error":[125],"source":[128],"location":[129],"area":[134,155],"than":[135],"via":[138],"Furthermore,":[142],"concentrated":[151],"sensorimotor":[154],"denoted":[157],"event-related":[159],"desynchronization":[160],"alpha":[163],"band,":[164],"which":[165,201],"is":[166],"associated":[167],"tasks.":[171],"Conversely,":[172],"resulted":[176],"unclear":[178],"spatial":[179],"spectral":[181],"properties":[182],"sources.":[185],"findings":[187],"this":[189],"verify":[191],"feasibility":[193],"based":[197],"on":[198],"CNNs,":[200],"can":[202],"robustly":[203],"handle":[204],"artifacts.":[208]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}