{"id":"https://openalex.org/W4408899000","doi":"https://doi.org/10.1109/bci65088.2025.10931330","title":"Towards Feasible Deep Learning Approach Using EEG for Neurodegenerative Diseases","display_name":"Towards Feasible Deep Learning Approach Using EEG for Neurodegenerative Diseases","publication_year":2025,"publication_date":"2025-02-24","ids":{"openalex":"https://openalex.org/W4408899000","doi":"https://doi.org/10.1109/bci65088.2025.10931330"},"language":"en","primary_location":{"id":"doi:10.1109/bci65088.2025.10931330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bci65088.2025.10931330","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 13th International Conference on Brain-Computer Interface (BCI)","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/A5085641165","display_name":"Dogeun Park","orcid":"https://orcid.org/0009-0003-5498-6661"},"institutions":[{"id":"https://openalex.org/I146824383","display_name":"Hallym University","ror":"https://ror.org/03sbhge02","country_code":"KR","type":"education","lineage":["https://openalex.org/I146824383"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dogeun Park","raw_affiliation_strings":["Hallym University,Dept. Artificial Intelligence Convergence,Chuncheon,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hallym University,Dept. Artificial Intelligence Convergence,Chuncheon,Republic of Korea","institution_ids":["https://openalex.org/I146824383"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081894276","display_name":"Ho-Jung Kim","orcid":"https://orcid.org/0000-0002-3284-2697"},"institutions":[{"id":"https://openalex.org/I146824383","display_name":"Hallym University","ror":"https://ror.org/03sbhge02","country_code":"KR","type":"education","lineage":["https://openalex.org/I146824383"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ho-Jung Kim","raw_affiliation_strings":["Hallym University,Dept. Artificial Intelligence Convergence,Chuncheon,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hallym University,Dept. Artificial Intelligence Convergence,Chuncheon,Republic of Korea","institution_ids":["https://openalex.org/I146824383"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024299572","display_name":"Young-Gi Ju","orcid":"https://orcid.org/0000-0003-4104-6243"},"institutions":[{"id":"https://openalex.org/I146824383","display_name":"Hallym University","ror":"https://ror.org/03sbhge02","country_code":"KR","type":"education","lineage":["https://openalex.org/I146824383"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young-Gi Ju","raw_affiliation_strings":["Hallym University,Dept. Artificial Intelligence Convergence,Chuncheon,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hallym University,Dept. Artificial Intelligence Convergence,Chuncheon,Republic of Korea","institution_ids":["https://openalex.org/I146824383"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102859066","display_name":"Keun-Tae Kim","orcid":"https://orcid.org/0000-0003-2731-3915"},"institutions":[{"id":"https://openalex.org/I146824383","display_name":"Hallym University","ror":"https://ror.org/03sbhge02","country_code":"KR","type":"education","lineage":["https://openalex.org/I146824383"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Keun-Tae Kim","raw_affiliation_strings":["Hallym University,Dept. Artificial Intelligence Convergence,Chuncheon,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hallym University,Dept. Artificial Intelligence Convergence,Chuncheon,Republic of Korea","institution_ids":["https://openalex.org/I146824383"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5116821309","display_name":"Dong-Ok Wont","orcid":null},"institutions":[{"id":"https://openalex.org/I146824383","display_name":"Hallym University","ror":"https://ror.org/03sbhge02","country_code":"KR","type":"education","lineage":["https://openalex.org/I146824383"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dong-Ok Wont","raw_affiliation_strings":["Convergence and College of Medicine Hallym University,Dept. Artificial Intelligence,Chuncheon,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Convergence and College of Medicine Hallym University,Dept. Artificial Intelligence,Chuncheon,Republic of Korea","institution_ids":["https://openalex.org/I146824383"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1339,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.85187006,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9854999780654907,"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":0.9854999780654907,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6486659049987793},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6436930894851685},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.506937563419342},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4465211033821106},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.334696888923645},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15393194556236267}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6486659049987793},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6436930894851685},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.506937563419342},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4465211033821106},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.334696888923645},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15393194556236267}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bci65088.2025.10931330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bci65088.2025.10931330","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 13th International Conference on Brain-Computer Interface (BCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1847168837","https://openalex.org/W1971363168","https://openalex.org/W1991435368","https://openalex.org/W2010033808","https://openalex.org/W2014636870","https://openalex.org/W2019175581","https://openalex.org/W2021789724","https://openalex.org/W2069361721","https://openalex.org/W2160704933","https://openalex.org/W2167411254","https://openalex.org/W2400096418","https://openalex.org/W2559463885","https://openalex.org/W2626459556","https://openalex.org/W2902014254","https://openalex.org/W2912556930","https://openalex.org/W2963351448","https://openalex.org/W2969236826","https://openalex.org/W2973721184","https://openalex.org/W3082918395","https://openalex.org/W3183667033","https://openalex.org/W3197815310","https://openalex.org/W4200085079","https://openalex.org/W4280564710","https://openalex.org/W4384080511","https://openalex.org/W4388822095","https://openalex.org/W4389365560","https://openalex.org/W4390590484","https://openalex.org/W4400624293","https://openalex.org/W4401894695","https://openalex.org/W6606422465"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4321369474","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W3086377361"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"we":[3],"propose":[4],"the":[5,34,91,95,127,135],"phase":[6],"space":[7],"reconstruction":[8],"(PSR)-based":[9],"deep":[10,102],"learning":[11,103,131],"framework":[12,53,84],"for":[13],"enhanced":[14],"detection":[15],"of":[16,45,97,129,139],"frontotemporal":[17],"dementia":[18],"(FTD)":[19],"utilizing":[20],"electroen-cephalography":[21],"(EEG).":[22],"Our":[23],"experimental":[24],"results":[25,125],"demonstrate":[26],"significant":[27],"improvements":[28],"over":[29],"conventional":[30],"screening":[31],"methods,":[32],"particularly":[33],"mini-mental":[35],"state":[36],"examination":[37],"(MMSE),":[38],"which":[39],"exhibits":[40],"a":[41,55,71],"considerable":[42],"false-negative":[43],"rate":[44],"39.1":[46],"%":[47,58],"in":[48,60,119,133],"FTD":[49,64,76,121],"screening.":[50],"The":[51,66],"proposed":[52],"achieved":[54],"remarkable":[56],"88.89":[57],"accuracy":[59,136],"identifying":[61],"previously":[62],"misclassified":[63],"cases.":[65],"evaluation":[67],"was":[68],"conducted":[69],"using":[70],"public":[72],"dataset":[73],"comprising":[74],"23":[75],"patients":[77],"and":[78,90,137],"29":[79],"healthy":[80],"controls,":[81],"wherein":[82],"our":[83,105],"consistently":[85],"outperformed":[86],"both":[87],"traditional":[88],"MMSE":[89],"EEGNet-based":[92],"approach.":[93],"Through":[94],"integration":[96],"PSR":[98],"techniques":[99],"with":[100],"advanced":[101],"architectures,":[104],"findings":[106],"suggest":[107],"that":[108],"EEG-based":[109],"computational":[110],"approaches":[111],"could":[112],"serve":[113],"as":[114],"robust":[115],"complementary":[116],"diagnostic":[117],"tools":[118],"clinical":[120],"assessment":[122],"protocols.":[123],"These":[124],"underscore":[126],"potential":[128],"machine":[130],"applications":[132],"enhancing":[134],"reliability":[138],"neurological":[140],"disorder":[141],"diagnosis.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}