{"id":"https://openalex.org/W4387876924","doi":"https://doi.org/10.3390/s23208639","title":"Depressive Disorder Recognition Based on Frontal EEG Signals and Deep Learning","display_name":"Depressive Disorder Recognition Based on Frontal EEG Signals and Deep Learning","publication_year":2023,"publication_date":"2023-10-23","ids":{"openalex":"https://openalex.org/W4387876924","doi":"https://doi.org/10.3390/s23208639","pmid":"https://pubmed.ncbi.nlm.nih.gov/37896732"},"language":"en","primary_location":{"id":"doi:10.3390/s23208639","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23208639","pdf_url":"https://www.mdpi.com/1424-8220/23/20/8639/pdf?version=1698036062","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/20/8639/pdf?version=1698036062","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102944211","display_name":"Yanting Xu","orcid":"https://orcid.org/0009-0008-5439-1947"},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanting Xu","raw_affiliation_strings":["College of Engineering, Zhejiang Normal University, Jinhua 321004, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Zhejiang Normal University, Jinhua 321004, China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052160157","display_name":"Hongyang Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyang Zhong","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang Normal University, Jinhua 321004, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang Normal University, Jinhua 321004, China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113029711","display_name":"Shangyan Ying","orcid":null},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shangyan Ying","raw_affiliation_strings":["College of Engineering, Zhejiang Normal University, Jinhua 321004, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Zhejiang Normal University, Jinhua 321004, China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114949151","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0001-5756-2264"},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang Normal University, Jinhua 321004, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang Normal University, Jinhua 321004, China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101929055","display_name":"Gui-Bin Chen","orcid":"https://orcid.org/0000-0002-8661-5377"},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guibin Chen","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang Normal University, Jinhua 321004, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang Normal University, Jinhua 321004, China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029510051","display_name":"Xiaodong Luo","orcid":"https://orcid.org/0000-0002-0734-862X"},"institutions":[{"id":"https://openalex.org/I4210162045","display_name":"Jinhua Central Hospital","ror":"https://ror.org/04z13ha89","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210162045"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaodong Luo","raw_affiliation_strings":["The Second Hospital of Jinhua, Jinhua 321016, China"],"affiliations":[{"raw_affiliation_string":"The Second Hospital of Jinhua, Jinhua 321016, China","institution_ids":["https://openalex.org/I4210162045"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066392622","display_name":"Gang Li","orcid":"https://orcid.org/0000-0003-1957-471X"},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Gang Li","raw_affiliation_strings":["College of Mathematical Medicine, Zhejiang Normal University, Jinhua 321004, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematical Medicine, Zhejiang Normal University, Jinhua 321004, China","institution_ids":["https://openalex.org/I135237710"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5029510051","https://openalex.org/A5066392622"],"corresponding_institution_ids":["https://openalex.org/I135237710","https://openalex.org/I4210162045"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":4.3295,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.95164306,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"23","issue":"20","first_page":"8639","last_page":"8639"},"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9983999729156494,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.989799976348877,"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":0.86460280418396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6354957222938538},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6053334474563599},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5862225890159607},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5628761053085327},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.5059687495231628},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.49206632375717163},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4538983702659607},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44906723499298096},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3582432270050049},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2621583640575409},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1750519573688507},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.12274402379989624},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.0995543897151947}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.86460280418396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6354957222938538},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6053334474563599},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5862225890159607},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5628761053085327},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.5059687495231628},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.49206632375717163},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4538983702659607},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44906723499298096},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3582432270050049},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2621583640575409},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1750519573688507},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.12274402379989624},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0995543897151947},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003866","descriptor_name":"Depressive Disorder","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003866","descriptor_name":"Depressive Disorder","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003866","descriptor_name":"Depressive Disorder","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003866","descriptor_name":"Depressive Disorder","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057567","descriptor_name":"Memory, Long-Term","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057567","descriptor_name":"Memory, Long-Term","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.3390/s23208639","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23208639","pdf_url":"https://www.mdpi.com/1424-8220/23/20/8639/pdf?version=1698036062","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:37896732","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37896732","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10611358","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10611358","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10611358/pdf/sensors-23-08639.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:a9a06ef1687241d69afe82fad4f65b8f","is_oa":true,"landing_page_url":"https://doaj.org/article/a9a06ef1687241d69afe82fad4f65b8f","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 20, p 8639 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s23208639","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23208639","pdf_url":"https://www.mdpi.com/1424-8220/23/20/8639/pdf?version=1698036062","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3724079908","display_name":null,"funder_award_id":"82001918","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4079332754","display_name":null,"funder_award_id":"LQ19E050011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387876924.pdf"},"referenced_works_count":66,"referenced_works":["https://openalex.org/W38454739","https://openalex.org/W1969692299","https://openalex.org/W1972262243","https://openalex.org/W2019573206","https://openalex.org/W2022843626","https://openalex.org/W2029882491","https://openalex.org/W2034446364","https://openalex.org/W2055019700","https://openalex.org/W2059318772","https://openalex.org/W2085105520","https://openalex.org/W2107999585","https://openalex.org/W2130140789","https://openalex.org/W2131398580","https://openalex.org/W2138820260","https://openalex.org/W2169890707","https://openalex.org/W2175558603","https://openalex.org/W2552997063","https://openalex.org/W2591919592","https://openalex.org/W2592790085","https://openalex.org/W2604710527","https://openalex.org/W2609632515","https://openalex.org/W2625088583","https://openalex.org/W2762234957","https://openalex.org/W2769304358","https://openalex.org/W2800428573","https://openalex.org/W2809286458","https://openalex.org/W2947343305","https://openalex.org/W2955095010","https://openalex.org/W2975758053","https://openalex.org/W2989963038","https://openalex.org/W2996393987","https://openalex.org/W3003417734","https://openalex.org/W3017342927","https://openalex.org/W3026525979","https://openalex.org/W3083284258","https://openalex.org/W3105250175","https://openalex.org/W3121117531","https://openalex.org/W3126085817","https://openalex.org/W3158818505","https://openalex.org/W3163763055","https://openalex.org/W3185172424","https://openalex.org/W3203310594","https://openalex.org/W3208576177","https://openalex.org/W4200029516","https://openalex.org/W4210434817","https://openalex.org/W4220904564","https://openalex.org/W4226433472","https://openalex.org/W4241710964","https://openalex.org/W4251819916","https://openalex.org/W4280533611","https://openalex.org/W4284887989","https://openalex.org/W4286208811","https://openalex.org/W4286462213","https://openalex.org/W4298007214","https://openalex.org/W4307261514","https://openalex.org/W4311494492","https://openalex.org/W4313503236","https://openalex.org/W4316038172","https://openalex.org/W4317042343","https://openalex.org/W4321598398","https://openalex.org/W4323073251","https://openalex.org/W4323568506","https://openalex.org/W4323922987","https://openalex.org/W4364365625","https://openalex.org/W4382775580","https://openalex.org/W4386096710"],"related_works":["https://openalex.org/W2922348724","https://openalex.org/W200322357","https://openalex.org/W2130428257","https://openalex.org/W4249377076","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Depressive":[0],"disorder":[1],"(DD)":[2],"has":[3],"become":[4],"one":[5],"of":[6,31,67,76,157,183,224],"the":[7,15,29,65,68,74,162,168,179,196,219],"most":[8],"common":[9],"mental":[10],"diseases,":[11],"seriously":[12],"endangering":[13],"both":[14],"affected":[16],"person's":[17],"psychological":[18],"and":[19,34,41,72,86,98,117,139,145,204,215,221],"physical":[20],"health.":[21],"Nowadays,":[22],"a":[23],"DD":[24,54,88,115,153,173,208],"diagnosis":[25,43],"mainly":[26,57],"relies":[27],"on":[28,91],"experience":[30],"clinical":[32,107],"psychiatrists":[33],"subjective":[35],"scales,":[36],"lacking":[37],"objective,":[38],"accurate,":[39],"practical,":[40],"automatic":[42],"technologies.":[44],"Recently,":[45],"electroencephalogram":[46,95],"(EEG)":[47,96],"signals":[48,97,110],"have":[49],"been":[50],"widely":[51],"applied":[52],"for":[53,152,172,207,218],"diagnosis,":[55,209],"but":[56],"with":[58,132,142,187],"high-density":[59],"EEG,":[60],"which":[61],"can":[62,200],"severely":[63],"limit":[64],"efficiency":[66],"EEG":[69,109,164,190],"data":[70],"acquisition":[71],"reduce":[73],"practicability":[75],"diagnostic":[77],"techniques.":[78],"The":[79,155,175],"current":[80],"study":[81,159],"attempts":[82],"to":[83],"achieve":[84],"accurate":[85,203],"practical":[87,205],"diagnoses":[89],"based":[90],"combining":[92],"frontal":[93],"six-channel":[94],"deep":[99,123],"learning":[100,124],"models.":[101],"To":[102],"this":[103,158],"end,":[104],"10":[105],"min":[106],"resting-state":[108],"were":[111,150],"collected":[112],"from":[113],"41":[114],"patients":[116],"34":[118],"healthy":[119],"controls":[120],"(HCs).":[121],"Two":[122],"models,":[125],"multi-resolution":[126],"convolutional":[127],"neural":[128],"network":[129],"(MRCNN)":[130],"combined":[131,141],"long":[133],"short-term":[134],"memory":[135],"(LSTM)":[136],"(named":[137,148],"MRCNN-LSTM)":[138],"MRCNN":[140],"residual":[143],"squeeze":[144],"excitation":[146],"(RSE)":[147],"MRCNN-RSE),":[149],"proposed":[151,197],"recognition.":[154],"results":[156],"showed":[160],"that":[161,195],"higher":[163],"frequency":[165],"band":[166],"obtained":[167],"better":[169],"classification":[170,181],"performance":[171],"diagnosis.":[174],"MRCNN-RSE":[176],"model":[177],"achieved":[178],"highest":[180],"accuracy":[182],"98.48":[184],"\u00b1":[185],"0.22%":[186],"8-30":[188],"Hz":[189],"signals.":[191],"These":[192],"findings":[193],"indicated":[194],"analytical":[198],"framework":[199],"provide":[201],"an":[202],"strategy":[206],"as":[210,212],"well":[211],"essential":[213],"theoretical":[214],"technical":[216],"support":[217],"treatment":[220],"efficacy":[222],"evaluation":[223],"DD.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
