{"id":"https://openalex.org/W7126026903","doi":"https://doi.org/10.1109/bibm66473.2025.11356229","title":"Epileptic Seizure Detection Using ECA-EEGNet with Earth Mover's Distance-Based Metric Learning","display_name":"Epileptic Seizure Detection Using ECA-EEGNet with Earth Mover's Distance-Based Metric Learning","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126026903","doi":"https://doi.org/10.1109/bibm66473.2025.11356229"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356229","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356229","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5107808323","display_name":"Shihan Wang","orcid":"https://orcid.org/0000-0001-5971-7522"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shihan Wang","raw_affiliation_strings":["School of Computer Science, Qufu Normal University,Rizhao,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Qufu Normal University,Rizhao,China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124162860","display_name":"Junliang Shang","orcid":null},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junliang Shang","raw_affiliation_strings":["School of Computer Science, Qufu Normal University,Rizhao,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Qufu Normal University,Rizhao,China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124226937","display_name":"Juan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Wang","raw_affiliation_strings":["School of Computer Science, Qufu Normal University,Rizhao,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Qufu Normal University,Rizhao,China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124257502","display_name":"Longfei Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longfei Qi","raw_affiliation_strings":["School of Computer Science, Qufu Normal University,Rizhao,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Qufu Normal University,Rizhao,China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124154435","display_name":"ShaSha Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shasha Yuan","raw_affiliation_strings":["School of Computer Science, Qufu Normal University,Rizhao,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Qufu Normal University,Rizhao,China","institution_ids":["https://openalex.org/I202126657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5107808323"],"corresponding_institution_ids":["https://openalex.org/I202126657"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.74092102,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4652","last_page":"4659"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9944999814033508,"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":0.9944999814033508,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.0010999999940395355,"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"}},{"id":"https://openalex.org/T10094","display_name":"Epilepsy research and treatment","score":0.0006000000284984708,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"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/discriminative-model","display_name":"Discriminative model","score":0.7387999892234802},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7172999978065491},{"id":"https://openalex.org/keywords/ictal","display_name":"Ictal","score":0.6585000157356262},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6395000219345093},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6284000277519226},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5936999917030334},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49390000104904175},{"id":"https://openalex.org/keywords/epileptic-seizure","display_name":"Epileptic seizure","score":0.4828000068664551},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46889999508857727}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7387999892234802},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7172999978065491},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.692799985408783},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6704000234603882},{"id":"https://openalex.org/C17755696","wikidata":"https://www.wikidata.org/wiki/Q16564780","display_name":"Ictal","level":3,"score":0.6585000157356262},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6395000219345093},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6284000277519226},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5936999917030334},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49390000104904175},{"id":"https://openalex.org/C2779334592","wikidata":"https://www.wikidata.org/wiki/Q6279182","display_name":"Epileptic seizure","level":3,"score":0.4828000068664551},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46889999508857727},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4512999951839447},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4154999852180481},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.3822000026702881},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3368000090122223},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3158999979496002},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.3043999969959259},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.2992999851703644},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.29760000109672546},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.2955999970436096},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27799999713897705},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.27790001034736633},{"id":"https://openalex.org/C82668687","wikidata":"https://www.wikidata.org/wiki/Q3046456","display_name":"Earth mover's distance","level":2,"score":0.2718999981880188},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356229","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356229","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7551074028015137,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2559463885","https://openalex.org/W2759483166","https://openalex.org/W2904559787","https://openalex.org/W2963355311","https://openalex.org/W2969656782","https://openalex.org/W3090702473","https://openalex.org/W3093630321","https://openalex.org/W3120598210","https://openalex.org/W4200337431","https://openalex.org/W4206471589","https://openalex.org/W4206574110","https://openalex.org/W4281567360","https://openalex.org/W4302275416","https://openalex.org/W4311435944","https://openalex.org/W4364302091","https://openalex.org/W4372340880","https://openalex.org/W4385780126","https://openalex.org/W4386536612","https://openalex.org/W4387739864","https://openalex.org/W4390970715","https://openalex.org/W4393971290","https://openalex.org/W4400610104","https://openalex.org/W4402017556","https://openalex.org/W4403259158","https://openalex.org/W4405989043"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"and":[1,18,31,43,57,134,164,188,229,244],"efficient":[2,246],"detection":[3,85,251],"of":[4,12,53,120,214,222,226,231],"epileptic":[5],"seizures":[6],"from":[7,123],"electroencephalogram":[8],"(EEG)":[9],"signals":[10,56],"is":[11,72],"great":[13],"significance":[14],"for":[15,185,248],"clinical":[16,49],"diagnosis":[17],"real-time":[19],"monitoring.":[20],"However,":[21],"traditional":[22],"EEG":[23,55,125,254],"analysis":[24],"methods":[25],"face":[26],"limitations":[27],"in":[28,48,60,160,252],"feature":[29,162,193],"extraction":[30,119],"classification":[32],"accuracy,":[33],"primarily":[34],"due":[35],"to":[36,66,116,128,170],"their":[37],"heavy":[38],"reliance":[39],"on":[40,101,206],"handcrafted":[41],"features":[42,122],"rigid":[44],"decision":[45],"boundaries.":[46],"Moreover,":[47],"settings,":[50],"the":[51,58,102,106,118,130,147,157,161,172,178,207,211,215,238],"scarcity":[52],"seizure":[54,84,133,250],"difficulty":[59],"obtaining":[61],"labeled":[62],"data":[63,71,202],"often":[64],"lead":[65],"overfitting,":[67],"especially":[68],"when":[69],"training":[70],"insufficient.":[73],"To":[74],"address":[75],"these":[76],"challenges,":[77],"this":[78],"paper":[79],"proposes":[80],"a":[81,140,166,242],"novel":[82],"end-to-end":[83],"framework":[86,108,240],"that":[87,237],"integrates":[88],"an":[89,95,110,219],"attention-guided":[90],"lightweight":[91],"neural":[92],"network":[93],"with":[94],"advanced":[96],"metric":[97,143,159],"learning":[98,144],"strategy.":[99],"Based":[100],"baseline":[103],"EEGNet":[104],"architecture,":[105],"proposed":[107,179,216,239],"incorporates":[109],"Efficient":[111],"Channel":[112],"Attention":[113],"(ECA)":[114],"module":[115],"enhance":[117],"discriminative":[121],"multichannel":[124],"signals.":[126],"Furthermore,":[127],"improve":[129],"separability":[131],"between":[132,176,191],"non-seizure":[135],"interictal":[136],"states,":[137],"we":[138],"introduce":[139],"triplet":[141,167],"loss-based":[142],"method":[145,180],"using":[146],"Earth":[148,153],"Mover's":[149,154],"Distance.":[150],"By":[151],"employing":[152],"Distance":[155],"as":[156],"distance":[158,174],"space":[163],"introducing":[165],"loss":[168],"function":[169],"constrain":[171],"relative":[173],"relationships":[175],"samples,":[177],"ensures":[181],"more":[182],"compact":[183],"embeddings":[184],"intra-class":[186],"samples":[187],"better":[189],"separation":[190],"inter-class":[192],"distributions,":[194],"thereby":[195],"effectively":[196],"mitigating":[197],"overfitting":[198],"risks":[199],"under":[200],"limited":[201],"conditions.":[203],"Experimental":[204],"evaluations":[205],"CHB-MIT":[208],"dataset":[209],"demonstrate":[210],"superior":[212],"performance":[213],"method,":[217],"achieving":[218],"average":[220],"accuracy":[221],"97.51":[223],"%,":[224,228],"sensitivity":[225],"95.56":[227],"specificity":[230],"97.93":[232],"%.":[233],"These":[234],"results":[235],"indicate":[236],"provides":[241],"promising":[243],"computationally":[245],"solution":[247],"automatic":[249],"practical":[253],"analysis.":[255]},"counts_by_year":[],"updated_date":"2026-02-01T03:34:12.195049","created_date":"2026-01-30T00:00:00"}
