{"id":"https://openalex.org/W4406261921","doi":"https://doi.org/10.1109/bibm62325.2024.10822406","title":"Empowering Cross-Patient Epilepsy Diagnosis from Diverse-Sampling Low-Quality EEG Signals","display_name":"Empowering Cross-Patient Epilepsy Diagnosis from Diverse-Sampling Low-Quality EEG Signals","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406261921","doi":"https://doi.org/10.1109/bibm62325.2024.10822406"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10822406","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822406","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101844690","display_name":"Yanshen Sun","orcid":"https://orcid.org/0000-0002-4185-0066"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanshen Sun","raw_affiliation_strings":["Virginia Tech,Department of Computer Science,Falls Church,VA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Virginia Tech,Department of Computer Science,Falls Church,VA,USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102606314","display_name":"Jianger Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianger Yu","raw_affiliation_strings":["Virginia Tech,Department of Computer Science,Falls Church,VA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Virginia Tech,Department of Computer Science,Falls Church,VA,USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038002204","display_name":"Chang\u2010Tien Lu","orcid":"https://orcid.org/0000-0003-3675-0199"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chang-Tien Lu","raw_affiliation_strings":["Virginia Tech,Department of Computer Science,Falls Church,VA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Virginia Tech,Department of Computer Science,Falls Church,VA,USA","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":0.6602,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.71827754,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2460","last_page":"2467"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9710000157356262,"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/epilepsy","display_name":"Epilepsy","score":0.7779650688171387},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7605702877044678},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5818384885787964},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5565610527992249},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4501889646053314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3500283658504486},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2105996310710907},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.1716354787349701},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11904400587081909}],"concepts":[{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.7779650688171387},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7605702877044678},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5818384885787964},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5565610527992249},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4501889646053314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3500283658504486},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2105996310710907},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1716354787349701},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11904400587081909},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm62325.2024.10822406","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822406","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W2043596210","https://openalex.org/W2113049098","https://openalex.org/W2158468574","https://openalex.org/W2194775991","https://openalex.org/W2338418935","https://openalex.org/W2559463885","https://openalex.org/W2741907166","https://openalex.org/W2792310042","https://openalex.org/W2797697401","https://openalex.org/W2804824909","https://openalex.org/W2894170005","https://openalex.org/W2963290013","https://openalex.org/W2964546587","https://openalex.org/W2996746229","https://openalex.org/W3099129475","https://openalex.org/W3111419336","https://openalex.org/W3128247890","https://openalex.org/W3207901562","https://openalex.org/W4205642372","https://openalex.org/W4283318673","https://openalex.org/W4283702385","https://openalex.org/W4288514045","https://openalex.org/W4307235828","https://openalex.org/W4313495967","https://openalex.org/W4372270146","https://openalex.org/W4382468395","https://openalex.org/W4386222461","https://openalex.org/W4386807062","https://openalex.org/W4389888209","https://openalex.org/W4390064124","https://openalex.org/W4396512572","https://openalex.org/W6751145664","https://openalex.org/W6752307458","https://openalex.org/W6774314701"],"related_works":["https://openalex.org/W2395385109","https://openalex.org/W2773633178","https://openalex.org/W2080101436","https://openalex.org/W2802335767","https://openalex.org/W2922348724","https://openalex.org/W2356350882","https://openalex.org/W4388090985","https://openalex.org/W200322357","https://openalex.org/W1545074592","https://openalex.org/W2275559830"],"abstract_inverted_index":{"Electroencephalograms":[0],"(EEGs)":[1],"are":[2],"essential":[3],"tools":[4],"for":[5,60],"detecting":[6],"epilepsy":[7,37],"using":[8,64],"artificial":[9],"intelligence,":[10],"despite":[11],"their":[12],"inherent":[13],"variability":[14],"in":[15,35,141],"format":[16],"and":[17,47,77,103,121,138],"fidelity.":[18],"Most":[19],"studies":[20,173],"focus":[21],"on":[22,152],"patient-specific,":[23],"high-quality":[24],"EEGs":[25,65],"with":[26,41],"fixed":[27],"sampling":[28,43],"rates.":[29],"However,":[30],"the":[31,56,95,108,142,146,175],"real-world":[32,154],"challenge":[33],"lies":[34],"diagnosing":[36],"across":[38,119],"diverse":[39,69,168],"patients":[40],"varying":[42],"rates,":[44],"low-quality":[45],"signals,":[46,93],"incomplete":[48],"data.":[49],"To":[50],"tackle":[51],"these":[52],"challenges,":[53],"we":[54,80,106,125],"introduce":[55],"CPEDNet":[57,159],"model,":[58],"designed":[59],"Cross-Patient":[61],"Epilepsy":[62],"Diagnosis":[63],"that":[66,157],"may":[67],"have":[68],"sampling,":[70,100],"missing":[71,101],"data,":[72,102],"high":[73],"noise,":[74],"insufficient":[75],"labels,":[76],"volatility.":[78],"Specifically,":[79],"employ":[81],"a":[82,127],"latent":[83],"Neural":[84],"Ordinary":[85],"Differential":[86],"Equation":[87],"(NODE)":[88],"method":[89],"to":[90,132],"enhance":[91],"EEG":[92,110,135,169],"mitigating":[94],"challenges":[96],"posed":[97],"by":[98],"irregular":[99],"outliers.":[104],"Then,":[105],"represent":[107],"enhanced":[109],"signals":[111],"as":[112],"brain":[113,147],"network":[114,148],"flows,":[115],"capturing":[116],"neural":[117],"representations":[118],"spatial":[120],"temporal":[122,143],"dimensions.":[123],"Furthermore,":[124],"integrate":[126],"score-based,":[128],"two-stage":[129],"self-supervised":[130],"strategy":[131],"strengthen":[133],"multi-channel":[134],"feature":[136],"learning":[137,164],"ensure":[139],"stability":[140],"dynamics":[144],"of":[145,177],"flow.":[149],"Extensive":[150],"testing":[151],"two":[153],"datasets":[155],"shows":[156],"our":[158,181],"surpasses":[160],"current":[161],"methods,":[162],"effectively":[163],"spatiotemporal":[165],"patterns":[166],"from":[167],"formats.":[170],"Abundant":[171],"ablation":[172],"validate":[174],"effectiveness":[176],"each":[178],"module":[179],"within":[180],"model.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
