{"id":"https://openalex.org/W4394579861","doi":"https://doi.org/10.1186/s13634-024-01146-y","title":"EEG emotion recognition based on differential entropy feature matrix through 2D-CNN-LSTM network","display_name":"EEG emotion recognition based on differential entropy feature matrix through 2D-CNN-LSTM network","publication_year":2024,"publication_date":"2024-04-08","ids":{"openalex":"https://openalex.org/W4394579861","doi":"https://doi.org/10.1186/s13634-024-01146-y"},"language":"en","primary_location":{"id":"doi:10.1186/s13634-024-01146-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-024-01146-y","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-024-01146-y","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-024-01146-y","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100348968","display_name":"Teng Wang","orcid":"https://orcid.org/0009-0008-9212-3134"},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Teng Wang","raw_affiliation_strings":["School of Physics and Electronic Information, Yunnan Normal University, Kunming, 650500, Yunnan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physics and Electronic Information, Yunnan Normal University, Kunming, 650500, Yunnan, China","institution_ids":["https://openalex.org/I120825670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070032019","display_name":"Xiaoqiao Huang","orcid":"https://orcid.org/0000-0002-5487-7196"},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoqiao Huang","raw_affiliation_strings":["School of Physics and Electronic Information, Yunnan Normal University, Kunming, 650500, Yunnan, China","Yunnan Key Lab of Optic-Electronic Information Technology, Kunming, 650500, Yunnan, China"],"raw_orcid":"https://orcid.org/0000-0002-5487-7196","affiliations":[{"raw_affiliation_string":"School of Physics and Electronic Information, Yunnan Normal University, Kunming, 650500, Yunnan, China","institution_ids":["https://openalex.org/I120825670"]},{"raw_affiliation_string":"Yunnan Key Lab of Optic-Electronic Information Technology, Kunming, 650500, Yunnan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101288784","display_name":"Zenan Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zenan Xiao","raw_affiliation_strings":["School of Physics and Electronic Information, Yunnan Normal University, Kunming, 650500, Yunnan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physics and Electronic Information, Yunnan Normal University, Kunming, 650500, Yunnan, China","institution_ids":["https://openalex.org/I120825670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087243449","display_name":"Wude Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wude Cai","raw_affiliation_strings":["School of Physics and Electronic Information, Yunnan Normal University, Kunming, 650500, Yunnan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physics and Electronic Information, Yunnan Normal University, Kunming, 650500, Yunnan, China","institution_ids":["https://openalex.org/I120825670"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049712745","display_name":"Yonghang Tai","orcid":"https://orcid.org/0000-0001-9186-475X"},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghang Tai","raw_affiliation_strings":["School of Physics and Electronic Information, Yunnan Normal University, Kunming, 650500, Yunnan, China","Yunnan Key Lab of Optic-Electronic Information Technology, Kunming, 650500, Yunnan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physics and Electronic Information, Yunnan Normal University, Kunming, 650500, Yunnan, China","institution_ids":["https://openalex.org/I120825670"]},{"raw_affiliation_string":"Yunnan Key Lab of Optic-Electronic Information Technology, Kunming, 650500, Yunnan, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5070032019","https://openalex.org/A5087243449"],"corresponding_institution_ids":["https://openalex.org/I120825670"],"apc_list":{"value":1790,"currency":"USD","value_usd":1790},"apc_paid":{"value":1790,"currency":"USD","value_usd":1790},"fwci":10.4168,"has_fulltext":true,"cited_by_count":45,"citation_normalized_percentile":{"value":0.99020154,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"2024","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9997000098228455,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9854999780654907,"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":0.8332529067993164},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7333330512046814},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7283118367195129},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.672461748123169},{"id":"https://openalex.org/keywords/differential-entropy","display_name":"Differential entropy","score":0.5901602506637573},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5247452259063721},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5235057473182678},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4456442892551422},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43583446741104126},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.41994157433509827},{"id":"https://openalex.org/keywords/r\u00e9nyi-entropy","display_name":"R\u00e9nyi entropy","score":0.2010500431060791},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1762639582157135},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.149072527885437},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08182504773139954}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.8332529067993164},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7333330512046814},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7283118367195129},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.672461748123169},{"id":"https://openalex.org/C124551494","wikidata":"https://www.wikidata.org/wiki/Q3055345","display_name":"Differential entropy","level":4,"score":0.5901602506637573},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5247452259063721},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5235057473182678},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4456442892551422},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43583446741104126},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.41994157433509827},{"id":"https://openalex.org/C142611142","wikidata":"https://www.wikidata.org/wiki/Q1433083","display_name":"R\u00e9nyi entropy","level":3,"score":0.2010500431060791},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1762639582157135},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.149072527885437},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08182504773139954},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13634-024-01146-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-024-01146-y","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-024-01146-y","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3cb88e007981450a82bc2dc3218643ad","is_oa":false,"landing_page_url":"https://doaj.org/article/3cb88e007981450a82bc2dc3218643ad","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Advances in Signal Processing, Vol 2024, Iss 1, Pp 1-19 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13634-024-01146-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-024-01146-y","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-024-01146-y","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1372326167","display_name":"\u9762\u5411\u80f8\u8154\u955c\u865a\u62df\u624b\u672f\u7684\u6269\u5c55\u7ea6\u675f\u4f4d\u7f6e\u52a8\u529b\u5b66\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"62062070","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2359838746","display_name":null,"funder_award_id":"202101AT070100","funder_id":"https://openalex.org/F4320323193","funder_display_name":"Natural Science Foundation of Yunnan Province"},{"id":"https://openalex.org/G262638366","display_name":"\u57fa\u4e8e\u5bf9\u6297\u667a\u80fd\u7684\u7f51\u7edc\u6d41\u91cf\u8ba4\u77e5\u7406\u8bba\u548c\u6280\u672f\u7814\u7a76","funder_award_id":"62062069","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6349749407","display_name":null,"funder_award_id":"62005235","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7262811064","display_name":null,"funder_award_id":"62365017","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7990182675","display_name":null,"funder_award_id":"62266053","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"},{"id":"https://openalex.org/F4320323193","display_name":"Natural Science Foundation of Yunnan Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4394579861.pdf","grobid_xml":"https://content.openalex.org/works/W4394579861.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1567302070","https://openalex.org/W1765315678","https://openalex.org/W2002055708","https://openalex.org/W2004104731","https://openalex.org/W2022795097","https://openalex.org/W2032254851","https://openalex.org/W2064770205","https://openalex.org/W2068759427","https://openalex.org/W2085497785","https://openalex.org/W2122098299","https://openalex.org/W2172697302","https://openalex.org/W2525648609","https://openalex.org/W2613375858","https://openalex.org/W2741907166","https://openalex.org/W2752778237","https://openalex.org/W2761266324","https://openalex.org/W2765856398","https://openalex.org/W2772766867","https://openalex.org/W2783178867","https://openalex.org/W2790404832","https://openalex.org/W2800276980","https://openalex.org/W2888184955","https://openalex.org/W2896297654","https://openalex.org/W2898161677","https://openalex.org/W2903462437","https://openalex.org/W2904463929","https://openalex.org/W2925836809","https://openalex.org/W3027581678","https://openalex.org/W3108087271","https://openalex.org/W3114802091","https://openalex.org/W3128254639","https://openalex.org/W3156005160","https://openalex.org/W3193300679","https://openalex.org/W3199169708","https://openalex.org/W3205895886","https://openalex.org/W4207006143","https://openalex.org/W4220866631"],"related_works":["https://openalex.org/W2032664813","https://openalex.org/W4220842428","https://openalex.org/W2932154953","https://openalex.org/W3004546765","https://openalex.org/W4297973239","https://openalex.org/W3149214146","https://openalex.org/W2005569032","https://openalex.org/W3129479059","https://openalex.org/W2071645312","https://openalex.org/W2543167752"],"abstract_inverted_index":{"Abstract":[0],"Emotion":[1],"recognition":[2,28,46,249],"research":[3,10],"has":[4,238],"attracted":[5],"great":[6],"interest":[7],"in":[8,119,167,213,242],"various":[9],"fields,":[11],"and":[12,54,86,111,133,171,202,206,222,231,237,248],"electroencephalography":[13],"(EEG)":[14],"is":[15,65,105,123,126,153],"considered":[16],"a":[17,68,129,138],"promising":[18],"tool":[19],"for":[20,204],"extracting":[21],"emotion-related":[22],"information.":[23],"However,":[24],"traditional":[25],"EEG-based":[26,44],"emotion":[27,45,214,235,246],"methods":[29],"ignore":[30],"the":[31,60,76,82,90,94,102,112,145,149,163,168,176,184,193,220,229,243],"spatial":[32,91,223],"correlation":[33,92,147,224],"between":[34,93],"electrodes.":[35,100],"To":[36],"address":[37],"this":[38,40,57,120],"problem,":[39],"paper":[41],"proposes":[42],"an":[43,196],"method":[47,194,210,217],"combining":[48],"differential":[49,113,134],"entropy":[50,114,135],"feature":[51],"matrix":[52,71,132],"(DEFM)":[53],"2D-CNN-LSTM.":[55],"In":[56],"work,":[58],"first,":[59],"one-dimensional":[61],"EEG":[62,83,95,103,150,169,226,234,252],"vector":[63],"sequence":[64],"converted":[66],"into":[67,107],"two-dimensional":[69,130],"grid":[70,131],"sequence,":[72],"which":[73,152],"corresponds":[74],"to":[75,136,160],"distribution":[77],"of":[78,81,97,116,148,200,225,233,245],"brain":[79],"regions":[80],"electrode":[84,118],"positions,":[85],"can":[87,143],"better":[88],"characterize":[89],"signals":[96,170],"multiple":[98],"adjacent":[99],"Then,":[101],"signal":[104],"divided":[106],"equal":[108],"time":[109,121],"windows,":[110],"(DE)":[115],"each":[117],"window":[122],"calculated,":[124],"it":[125],"combined":[127],"with":[128],"obtain":[137],"new":[139],"data":[140],"representation":[141],"that":[142,192],"capture":[144],"spatiotemporal":[146],"signal,":[151],"called":[154],"DEFM.":[155],"Secondly,":[156],"we":[157],"use":[158],"2D-CNN-LSTM":[159],"accurately":[161],"identify":[162],"emotional":[164],"categories":[165],"contained":[166],"finally":[172],"classify":[173],"them":[174],"through":[175],"fully":[177],"connected":[178],"layer.":[179],"Experiments":[180],"are":[181],"conducted":[182],"on":[183,251],"widely":[185],"used":[186],"DEAP":[187],"dataset.":[188],"Experimental":[189],"results":[190],"show":[191],"achieves":[195],"average":[197],"classification":[198,247],"accuracy":[199,230],"91.92%":[201],"92.31%":[203],"valence":[205],"arousal,":[207],"respectively.":[208],"The":[209],"performs":[211],"outstandingly":[212],"recognition.":[215],"This":[216],"effectively":[218],"combines":[219],"temporal":[221],"signals,":[227],"improves":[228],"robustness":[232],"recognition,":[236],"broad":[239],"application":[240],"prospects":[241],"field":[244],"based":[250],"signals.":[253]},"counts_by_year":[{"year":2026,"cited_by_count":17},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":4}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
