{"id":"https://openalex.org/W4396218803","doi":"https://doi.org/10.1145/3637684.3637687","title":"Major Depressive Disorder Detection based on Parallel Spatiotemporal Convolution Network","display_name":"Major Depressive Disorder Detection based on Parallel Spatiotemporal Convolution Network","publication_year":2023,"publication_date":"2023-11-09","ids":{"openalex":"https://openalex.org/W4396218803","doi":"https://doi.org/10.1145/3637684.3637687"},"language":"en","primary_location":{"id":"doi:10.1145/3637684.3637687","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637684.3637687","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Digital Medicine and Image Processing","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/A5006654440","display_name":"Jianye Liu","orcid":"https://orcid.org/0009-0003-5019-3891"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianye Liu","raw_affiliation_strings":["Shandong University, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055511192","display_name":"Haoran Li","orcid":"https://orcid.org/0009-0006-0638-6743"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoran Li","raw_affiliation_strings":["Shandong University, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100694041","display_name":"Qiang Wu","orcid":"https://orcid.org/0000-0002-6362-5169"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Wu","raw_affiliation_strings":["Shandong University, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019055665","display_name":"Zihan Diao","orcid":"https://orcid.org/0009-0009-7050-5745"},"institutions":[{"id":"https://openalex.org/I143302722","display_name":"University of Kentucky","ror":"https://ror.org/02k3smh20","country_code":"US","type":"education","lineage":["https://openalex.org/I143302722"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zihan Diao","raw_affiliation_strings":["University of Kentucky, USA"],"affiliations":[{"raw_affiliation_string":"University of Kentucky, USA","institution_ids":["https://openalex.org/I143302722"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102852573","display_name":"Zhao Sun","orcid":"https://orcid.org/0009-0002-0911-9879"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao Sun","raw_affiliation_strings":["Msunhealth Technology Group Corp Ltd, China"],"affiliations":[{"raw_affiliation_string":"Msunhealth Technology Group Corp Ltd, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101809229","display_name":"Lina Zheng","orcid":"https://orcid.org/0000-0002-3525-4719"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lina Zheng","raw_affiliation_strings":["Shandong University, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5006654440"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":0.3616,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60610595,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"12","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9991000294685364,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7596278786659241},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6633180379867554},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6367263793945312},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.609621524810791},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5733271241188049},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5597671866416931},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.542608380317688},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.49954748153686523},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4932937026023865},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.49156150221824646},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.4857352375984192},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.47533416748046875},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4131661355495453},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33550432324409485},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3066939115524292},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1326366364955902},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.12601524591445923},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07452604174613953}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7596278786659241},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6633180379867554},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6367263793945312},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.609621524810791},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5733271241188049},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5597671866416931},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.542608380317688},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.49954748153686523},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4932937026023865},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.49156150221824646},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.4857352375984192},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.47533416748046875},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4131661355495453},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33550432324409485},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3066939115524292},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1326366364955902},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.12601524591445923},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07452604174613953},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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":1,"locations":[{"id":"doi:10.1145/3637684.3637687","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637684.3637687","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Digital Medicine and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","score":0.4699999988079071,"display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1510056001","https://openalex.org/W1980508260","https://openalex.org/W2005509407","https://openalex.org/W2112796928","https://openalex.org/W2155549509","https://openalex.org/W2755361303","https://openalex.org/W2885839206","https://openalex.org/W2946344027","https://openalex.org/W3034369844","https://openalex.org/W3123294997","https://openalex.org/W3157506437","https://openalex.org/W3176984140","https://openalex.org/W3183340146","https://openalex.org/W4210257598"],"related_works":["https://openalex.org/W2076543106","https://openalex.org/W2523437662","https://openalex.org/W89844371","https://openalex.org/W2019891950","https://openalex.org/W2085842814","https://openalex.org/W4286643620","https://openalex.org/W4387048144","https://openalex.org/W2492135063","https://openalex.org/W2362514456","https://openalex.org/W2136232598"],"abstract_inverted_index":{"In":[0,35,62,113],"recent":[1],"years,":[2],"the":[3,39,84,122,125,129,151,165,182],"number":[4],"of":[5,15,31,41,91,158],"patients":[6],"with":[7,181],"depression":[8,16,57],"has":[9],"grown":[10],"rapidly.":[11],"The":[12,160],"traditional":[13,42],"diagnosis":[14],"includes":[17],"mental":[18],"scales,":[19],"clinical":[20],"inquiry":[21],"etc.,":[22],"which":[23],"is":[24,72,171],"time":[25],"consuming":[26],"and":[27,58,80,87,95,102,111,128,137,154,176],"lacks":[28],"objective":[29],"confirmation":[30],"relevant":[32],"physiology":[33],"indicators.":[34],"order":[36],"to":[37,120,142],"overcome":[38],"drawback":[40],"methods,":[43],"brain":[44],"imaging":[45],"techniques":[46],"such":[47],"as":[48],"electroencephalogram":[49],"(EEG)":[50],"have":[51],"provided":[52],"new":[53],"tools":[54],"for":[55,107],"diagnosing":[56],"shown":[59],"excellent":[60],"performance.":[61],"this":[63,114],"paper,":[64],"a":[65],"major":[66],"depressive":[67],"disorder":[68],"(MDD)":[69],"detection":[70,175],"framework":[71],"proposed":[73,167],"based":[74],"on":[75,150],"parallel":[76,97],"spatiotemporal":[77],"convolution":[78],"network":[79,101],"mix-multilayer":[81,103],"perceptron.":[82],"First,":[83],"wavelet":[85],"entropy":[86,89],"differential":[88],"features":[90,134],"EEG":[92],"were":[93,105,135],"extracted":[94,133],"then":[96],"spatial":[98],"temporal":[99],"convolutional":[100],"perceptron":[104],"employed":[106],"further":[108],"feature":[109],"representation":[110],"extraction.":[112],"process,":[115],"mmd-loss":[116],"was":[117,140,148],"creatively":[118],"added":[119],"shorten":[121],"gap":[123],"between":[124],"training":[126],"dataset":[127,153],"test":[130],"dataset.":[131],"Further":[132],"fused":[136],"multilayer-perceptron":[138],"(MLP)":[139],"used":[141],"perform":[143],"binary":[144],"classification.":[145],"This":[146],"experiment":[147],"evaluated":[149],"MODMA":[152],"achieved":[155],"an":[156],"accuracy":[157],"0.7832.":[159],"experimental":[161],"results":[162],"show":[163],"that":[164],"model":[166],"in":[168,173],"our":[169],"paper":[170],"effective":[172],"MDD":[174],"provides":[177],"better":[178],"performance":[179],"compared":[180],"baseline":[183],"systems.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}