{"id":"https://openalex.org/W4415369298","doi":"https://doi.org/10.3390/e27101084","title":"Cross-Group EEG Emotion Recognition Based on Phase Space Reconstruction Topology","display_name":"Cross-Group EEG Emotion Recognition Based on Phase Space Reconstruction Topology","publication_year":2025,"publication_date":"2025-10-20","ids":{"openalex":"https://openalex.org/W4415369298","doi":"https://doi.org/10.3390/e27101084","pmid":"https://pubmed.ncbi.nlm.nih.gov/41149042"},"language":"en","primary_location":{"id":"doi:10.3390/e27101084","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e27101084","pdf_url":null,"source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"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":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/e27101084","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062059596","display_name":"Xuanpeng Zhu","orcid":"https://orcid.org/0009-0000-4859-9604"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanpeng Zhu","raw_affiliation_strings":["Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems, School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin 300384, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems, School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin 300384, China","institution_ids":["https://openalex.org/I136765683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101923146","display_name":"Mu Zhu","orcid":"https://orcid.org/0000-0003-3224-5654"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mu Zhu","raw_affiliation_strings":["Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems, School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin 300384, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems, School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin 300384, China","institution_ids":["https://openalex.org/I136765683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100747113","display_name":"Dong Li","orcid":"https://orcid.org/0000-0002-7847-5511"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dong Li","raw_affiliation_strings":["Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems, School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin 300384, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems, School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin 300384, China","institution_ids":["https://openalex.org/I136765683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027879510","display_name":"Yu Song","orcid":"https://orcid.org/0000-0002-9295-7795"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu Song","raw_affiliation_strings":["Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems, School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin 300384, China"],"raw_orcid":"https://orcid.org/0000-0002-9295-7795","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems, School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin 300384, China","institution_ids":["https://openalex.org/I136765683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5027879510","https://openalex.org/A5100747113"],"corresponding_institution_ids":["https://openalex.org/I136765683"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.8976,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.78050751,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"27","issue":"10","first_page":"1084","last_page":"1084"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9986000061035156,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9800000190734863,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5751000046730042},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5741000175476074},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5534999966621399},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.5249000191688538},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5019000172615051},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.49810001254081726},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.49059998989105225},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46869999170303345},{"id":"https://openalex.org/keywords/phase-space","display_name":"Phase space","score":0.4359999895095825},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.40459999442100525}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6269000172615051},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5751000046730042},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5741000175476074},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5534999966621399},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5299000144004822},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.5249000191688538},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5019000172615051},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.49810001254081726},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.49059998989105225},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46869999170303345},{"id":"https://openalex.org/C151342819","wikidata":"https://www.wikidata.org/wiki/Q62542","display_name":"Phase space","level":2,"score":0.4359999895095825},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.40459999442100525},{"id":"https://openalex.org/C124551494","wikidata":"https://www.wikidata.org/wiki/Q3055345","display_name":"Differential entropy","level":4,"score":0.384799987077713},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.37630000710487366},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.37450000643730164},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3734999895095825},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.3617999851703644},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.35589998960494995},{"id":"https://openalex.org/C157626765","wikidata":"https://www.wikidata.org/wiki/Q2088081","display_name":"Phase plane","level":3,"score":0.3513000011444092},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.3422999978065491},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3346000015735626},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.33379998803138733},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.3107999861240387},{"id":"https://openalex.org/C17825722","wikidata":"https://www.wikidata.org/wiki/Q17285","display_name":"Plane (geometry)","level":2,"score":0.2939000129699707},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.2906000018119812},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.266400009393692},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.26510000228881836},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.2502000033855438}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/e27101084","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e27101084","pdf_url":null,"source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"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":"Entropy","raw_type":"journal-article"},{"id":"pmid:41149042","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41149042","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":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:6ccc707332304385aaa25069a04edf58","is_oa":true,"landing_page_url":"https://doaj.org/article/6ccc707332304385aaa25069a04edf58","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 27, Iss 10, p 1084 (2025)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:11371444","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12563111","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e27101084","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e27101084","pdf_url":null,"source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"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":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2512941143","display_name":null,"funder_award_id":"62103299","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1947251450","https://openalex.org/W2002055708","https://openalex.org/W2043181832","https://openalex.org/W2053186076","https://openalex.org/W2081420711","https://openalex.org/W2093300839","https://openalex.org/W2122098299","https://openalex.org/W2230936439","https://openalex.org/W2295774550","https://openalex.org/W2625929003","https://openalex.org/W2734337238","https://openalex.org/W3014163061","https://openalex.org/W3093462065","https://openalex.org/W3120598210","https://openalex.org/W3121961436","https://openalex.org/W3189185512","https://openalex.org/W3207829854","https://openalex.org/W3211566667","https://openalex.org/W4225140850","https://openalex.org/W4280564710","https://openalex.org/W4280588005","https://openalex.org/W4319999789","https://openalex.org/W4320000009","https://openalex.org/W4367338057","https://openalex.org/W4381550270","https://openalex.org/W4383703978","https://openalex.org/W4386983308","https://openalex.org/W4393043135","https://openalex.org/W4394579861","https://openalex.org/W4394871865","https://openalex.org/W4394984821","https://openalex.org/W4396877672","https://openalex.org/W4399849687","https://openalex.org/W4401817356","https://openalex.org/W4405842489","https://openalex.org/W4406884461","https://openalex.org/W4407203296","https://openalex.org/W4407597439","https://openalex.org/W4408997878"],"related_works":[],"abstract_inverted_index":{"Due":[0],"to":[1,66,104,141],"the":[2,7,13,31,45,69,94,106,111,143,153],"interference":[3],"of":[4,9,15,33,97,110,121,145,160],"artifacts":[5],"and":[6,57,92,113,127,133],"nonlinearity":[8],"electroencephalogram":[10],"(EEG)":[11],"signals,":[12],"extraction":[14],"representational":[16],"features":[17,62,88,140],"has":[18],"become":[19],"a":[20,48,77],"challenge":[21],"in":[22,117,162],"EEG":[23],"emotion":[24],"recognition.":[25],"In":[26],"this":[27],"work,":[28],"we":[29,85,134],"reduce":[30],"dimensionality":[32],"phase":[34],"space":[35],"trajectories":[36,46],"by":[37,74],"introducing":[38],"local":[39,54],"linear":[40],"embedding":[41],"(LLE),":[42],"which":[43],"projects":[44],"onto":[47],"2-D":[49],"plane":[50],"while":[51],"preserving":[52],"their":[53],"topological":[55,61,147,151],"structure,":[56],"innovatively":[58],"construct":[59],"16":[60],"from":[63],"different":[64,166],"perspectives":[65],"quantitatively":[67],"describe":[68],"nonlinear":[70],"dynamic":[71],"patterns":[72,96],"induced":[73],"emotions":[75,164],"on":[76],"multi-scale":[78],"level.":[79],"By":[80,149],"using":[81],"independent":[82],"feature":[83],"evaluation,":[84],"select":[86],"core":[87],"with":[89,100],"significant":[90],"discrimination":[91],"combine":[93],"activation":[95],"brain":[98],"topography":[99],"model":[101],"gain":[102],"ranking":[103],"optimize":[105],"electrode":[107],"channels.":[108],"Validation":[109],"SEED":[112],"HIED":[114],"datasets":[115],"resulted":[116],"subject-dependent":[118],"average":[119,158],"accuracies":[120],"90.33%":[122],"for":[123,129],"normal-hearing":[124],"subjects":[125,131],"(3-Class)":[126],"77.17%":[128],"hearing-impaired":[130],"(4-Class),":[132],"also":[135],"used":[136],"differential":[137],"entropy":[138],"(DE)":[139],"explore":[142],"potential":[144],"integrating":[146],"features.":[148],"quantifying":[150],"features,":[152],"6-Class":[154],"task":[155],"achieved":[156],"an":[157],"accuracy":[159],"77.5%":[161],"distinguishing":[163],"across":[165],"subject":[167],"groups.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-14T06:11:07.267592","created_date":"2025-10-21T00:00:00"}
