{"id":"https://openalex.org/W4389542324","doi":"https://doi.org/10.1109/embc40787.2023.10340760","title":"MTDN: Learning Multiple Temporal Dynamics Representation for Emotional Valence Classification with EEG.","display_name":"MTDN: Learning Multiple Temporal Dynamics Representation for Emotional Valence Classification with EEG.","publication_year":2023,"publication_date":"2023-07-24","ids":{"openalex":"https://openalex.org/W4389542324","doi":"https://doi.org/10.1109/embc40787.2023.10340760","pmid":"https://pubmed.ncbi.nlm.nih.gov/38083323"},"language":"en","primary_location":{"id":"doi:10.1109/embc40787.2023.10340760","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/embc40787.2023.10340760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 45th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5030290531","display_name":"Chengxuan Tong","orcid":"https://orcid.org/0000-0001-9798-703X"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]},{"id":"https://openalex.org/I4210144938","display_name":"Wilmar International (Singapore)","ror":"https://ror.org/04v0xgx08","country_code":"SG","type":"company","lineage":["https://openalex.org/I4210144938"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Chengxuan Tong","raw_affiliation_strings":["Nanyang Technological University, Singapore,School of Computer Science and Engineering,Singapore,639798","Wilmar International, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore,School of Computer Science and Engineering,Singapore,639798","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Wilmar International, Singapore","institution_ids":["https://openalex.org/I4210144938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101401265","display_name":"Yi Ding","orcid":"https://orcid.org/0000-0003-2365-3568"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yi Ding","raw_affiliation_strings":["Nanyang Technological University, Singapore,School of Computer Science and Engineering,Singapore,639798"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore,School of Computer Science and Engineering,Singapore,639798","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023200683","display_name":"Kevin Lim","orcid":"https://orcid.org/0000-0002-3822-1242"},"institutions":[{"id":"https://openalex.org/I4210144938","display_name":"Wilmar International (Singapore)","ror":"https://ror.org/04v0xgx08","country_code":"SG","type":"company","lineage":["https://openalex.org/I4210144938"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Kevin Junliang Lim","raw_affiliation_strings":["Wilmar International,Singapore,138568"],"affiliations":[{"raw_affiliation_string":"Wilmar International,Singapore,138568","institution_ids":["https://openalex.org/I4210144938"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031778999","display_name":"Cuntai Guan","orcid":"https://orcid.org/0000-0002-0872-3276"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Cuntai Guan","raw_affiliation_strings":["Nanyang Technological University, Singapore,School of Computer Science and Engineering,Singapore,639798"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore,School of Computer Science and Engineering,Singapore,639798","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5030290531"],"corresponding_institution_ids":["https://openalex.org/I172675005","https://openalex.org/I4210144938"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19728822,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":null,"first_page":"1","last_page":"4"},"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9984999895095825,"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"}},{"id":"https://openalex.org/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9929999709129333,"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/computer-science","display_name":"Computer science","score":0.8221360445022583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6271313428878784},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5978997945785522},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5249260067939758},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5119599103927612},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5044456720352173},{"id":"https://openalex.org/keywords/temporal-database","display_name":"Temporal database","score":0.46685606241226196},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.45719730854034424},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4320252537727356},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4277699589729309},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.42767027020454407},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.41100630164146423},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35636335611343384},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.26351332664489746},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.14502495527267456}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8221360445022583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6271313428878784},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5978997945785522},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5249260067939758},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5119599103927612},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5044456720352173},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.46685606241226196},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.45719730854034424},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4320252537727356},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4277699589729309},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.42767027020454407},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.41100630164146423},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35636335611343384},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.26351332664489746},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.14502495527267456},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","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":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","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":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","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":true},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D021641","descriptor_name":"Recognition, Psychology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021641","descriptor_name":"Recognition, Psychology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021641","descriptor_name":"Recognition, Psychology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021641","descriptor_name":"Recognition, Psychology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021641","descriptor_name":"Recognition, Psychology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021641","descriptor_name":"Recognition, Psychology","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},{"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":2,"locations":[{"id":"doi:10.1109/embc40787.2023.10340760","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/embc40787.2023.10340760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 45th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:38083323","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38083323","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W751388425","https://openalex.org/W2002055708","https://openalex.org/W2132360759","https://openalex.org/W2132450666","https://openalex.org/W2559463885","https://openalex.org/W2612690371","https://openalex.org/W2625929003","https://openalex.org/W2741907166","https://openalex.org/W2772766867","https://openalex.org/W2774803041","https://openalex.org/W2790404832","https://openalex.org/W3090795187","https://openalex.org/W3102455230","https://openalex.org/W3140416091","https://openalex.org/W3148095804","https://openalex.org/W4312232654","https://openalex.org/W6739901393","https://openalex.org/W6792941364"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2345479200","https://openalex.org/W2183306018","https://openalex.org/W2849310602","https://openalex.org/W3006008237","https://openalex.org/W2419146053","https://openalex.org/W4388890789","https://openalex.org/W2088247287","https://openalex.org/W2963903416","https://openalex.org/W4309346246"],"abstract_inverted_index":{"Emotion":[0],"recognition":[1],"from":[2],"electroencephalogram":[3],"(EEG)":[4],"requires":[5],"computational":[6],"models":[7],"to":[8,17,47,65,74,104,115,133,149],"capture":[9,48,66],"the":[10,14,106,111,117,135,151,169,174,178],"crucial":[11],"features":[12,27,68,77,138],"of":[13,44,153,177],"emotional":[15],"response":[16],"external":[18],"stimulation.":[19],"Spatial,":[20],"spectral,":[21],"and":[22,39,73,96,109,157],"temporal":[23,33,84,118,127],"information":[24],"are":[25,86,130],"relevant":[26],"for":[28,139],"emotion":[29],"recognition.":[30],"However,":[31],"learning":[32,58],"dynamics":[34,85,119,128],"is":[35,41,63,102,113],"a":[36,42,56,70,79,144],"challenging":[37],"task,":[38],"there":[40],"lack":[43],"efficient":[45],"approaches":[46],"such":[49],"information.":[50],"In":[51],"this":[52],"work,":[53],"we":[54],"present":[55],"deep":[57],"framework":[59,156],"called":[60],"MTDN":[61,159],"that":[62],"designed":[64],"spectral":[67],"with":[69,78,89,160],"filterbank":[71],"module":[72,101],"learn":[75,116],"spatial":[76,80],"convolution":[81],"block.":[82],"Multiple":[83,126],"jointly":[87],"learned":[88],"parallel":[90],"long":[91],"short-term":[92],"memory":[93],"(LSTM)":[94],"embedding":[95],"self-attention":[97,112],"modules.":[98],"The":[99,164],"LSTM":[100],"used":[103],"embed":[105],"time":[107,124],"segments,":[108],"then":[110,131],"utilized":[114],"by":[120],"intercorrelating":[121],"every":[122],"embedded":[123],"segment.":[125],"representations":[129],"aggregated":[132],"form":[134],"final":[136],"extracted":[137],"classification.":[140],"We":[141],"experiment":[142],"on":[143,173],"publicly":[145],"available":[146],"dataset,":[147],"DEAP,":[148],"evaluate":[150],"performance":[152],"our":[154],"proposed":[155],"compare":[158],"existing":[161],"published":[162],"results.":[163],"results":[165],"demonstrate":[166],"improvement":[167],"over":[168],"current":[170],"state-of-the-art":[171],"methods":[172],"valence":[175],"dimension":[176],"DEAP":[179],"dataset.":[180]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
