{"id":"https://openalex.org/W4399740058","doi":"https://doi.org/10.3389/fncom.2024.1415967","title":"Residual and bidirectional LSTM for epileptic seizure detection","display_name":"Residual and bidirectional LSTM for epileptic seizure detection","publication_year":2024,"publication_date":"2024-06-17","ids":{"openalex":"https://openalex.org/W4399740058","doi":"https://doi.org/10.3389/fncom.2024.1415967","pmid":"https://pubmed.ncbi.nlm.nih.gov/38952709"},"language":"en","primary_location":{"id":"doi:10.3389/fncom.2024.1415967","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fncom.2024.1415967","pdf_url":"https://public-pages-files-2025.frontiersin.org/journals/computational-neuroscience/articles/10.3389/fncom.2024.1415967/pdf","source":{"id":"https://openalex.org/S19778766","display_name":"Frontiers in Computational Neuroscience","issn_l":"1662-5188","issn":["1662-5188"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Computational Neuroscience","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://public-pages-files-2025.frontiersin.org/journals/computational-neuroscience/articles/10.3389/fncom.2024.1415967/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100710533","display_name":"Wei Zhao","orcid":"https://orcid.org/0000-0002-6814-1526"},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Zhao","raw_affiliation_strings":["Chengyi College, Jimei University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chengyi College, Jimei University, Xiamen, China","institution_ids":["https://openalex.org/I161346416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100737249","display_name":"Wenfeng Wang","orcid":"https://orcid.org/0000-0001-7709-3143"},"institutions":[{"id":"https://openalex.org/I4210098118","display_name":"Institute of International Visual Arts","ror":"https://ror.org/00xms2q31","country_code":"GB","type":"nonprofit","lineage":["https://openalex.org/I4210098118"]},{"id":"https://openalex.org/I67001856","display_name":"Shanghai Institute of Technology","ror":"https://ror.org/00fjzqj15","country_code":"CN","type":"education","lineage":["https://openalex.org/I67001856"]}],"countries":["CN","GB"],"is_corresponding":true,"raw_author_name":"Wen-Feng Wang","raw_affiliation_strings":["London Institute of Technology, International Academy of Visual Arts and Engineering, London, United Kingdom","Shanghai Institute of Technology, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"London Institute of Technology, International Academy of Visual Arts and Engineering, London, United Kingdom","institution_ids":["https://openalex.org/I4210098118"]},{"raw_affiliation_string":"Shanghai Institute of Technology, Shanghai, China","institution_ids":["https://openalex.org/I67001856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067392303","display_name":"L.M. Patnaik","orcid":"https://orcid.org/0000-0001-9725-2535"},"institutions":[{"id":"https://openalex.org/I22956069","display_name":"National Institute of Advanced Studies","ror":"https://ror.org/012wm5r19","country_code":"IN","type":"education","lineage":["https://openalex.org/I22956069"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Lalit Mohan Patnaik","raw_affiliation_strings":["National Institute of Advanced Studies, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Studies, Bangalore, India","institution_ids":["https://openalex.org/I22956069"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081767501","display_name":"Baocan Zhang","orcid":"https://orcid.org/0000-0001-8421-6404"},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bao-Can Zhang","raw_affiliation_strings":["Chengyi College, Jimei University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chengyi College, Jimei University, Xiamen, China","institution_ids":["https://openalex.org/I161346416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101380576","display_name":"Su-Jun Weng","orcid":null},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Su-Jun Weng","raw_affiliation_strings":["Chengyi College, Jimei University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chengyi College, Jimei University, Xiamen, China","institution_ids":["https://openalex.org/I161346416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031067735","display_name":"Shixiao Xiao","orcid":"https://orcid.org/0000-0003-0271-3437"},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi-Xiao Xiao","raw_affiliation_strings":["Chengyi College, Jimei University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chengyi College, Jimei University, Xiamen, China","institution_ids":["https://openalex.org/I161346416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090782321","display_name":"Dezhi Wei","orcid":"https://orcid.org/0000-0002-2758-0987"},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"De-Zhi Wei","raw_affiliation_strings":["Chengyi College, Jimei University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chengyi College, Jimei University, Xiamen, China","institution_ids":["https://openalex.org/I161346416"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031718206","display_name":"Haifeng Zhou","orcid":"https://orcid.org/0000-0002-2710-9570"},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai-Feng Zhou","raw_affiliation_strings":["Marine Engineering Institute, Jimei University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Marine Engineering Institute, Jimei University, Xiamen, China","institution_ids":["https://openalex.org/I161346416"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100710533","https://openalex.org/A5100737249"],"corresponding_institution_ids":["https://openalex.org/I161346416","https://openalex.org/I4210098118","https://openalex.org/I67001856"],"apc_list":{"value":2950,"currency":"USD","value_usd":2950},"apc_paid":{"value":2950,"currency":"USD","value_usd":2950},"fwci":16.8608,"has_fulltext":true,"cited_by_count":53,"citation_normalized_percentile":{"value":0.99607884,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"18","issue":null,"first_page":"1415967","last_page":"1415967"},"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/T10094","display_name":"Epilepsy research and treatment","score":0.9962999820709229,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.994700014591217,"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/epileptic-seizure","display_name":"Epileptic seizure","score":0.7661200761795044},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.7587458491325378},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7205865979194641},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6950464248657227},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6828490495681763},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6320202350616455},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4913300573825836},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.47702810168266296},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47305431962013245},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4279494881629944},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3556743860244751},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.23376786708831787},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.20784097909927368},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.13151848316192627},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.0752413272857666}],"concepts":[{"id":"https://openalex.org/C2779334592","wikidata":"https://www.wikidata.org/wiki/Q6279182","display_name":"Epileptic seizure","level":3,"score":0.7661200761795044},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.7587458491325378},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7205865979194641},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6950464248657227},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6828490495681763},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6320202350616455},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4913300573825836},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.47702810168266296},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47305431962013245},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4279494881629944},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3556743860244751},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.23376786708831787},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.20784097909927368},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.13151848316192627},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0752413272857666}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3389/fncom.2024.1415967","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fncom.2024.1415967","pdf_url":"https://public-pages-files-2025.frontiersin.org/journals/computational-neuroscience/articles/10.3389/fncom.2024.1415967/pdf","source":{"id":"https://openalex.org/S19778766","display_name":"Frontiers in Computational Neuroscience","issn_l":"1662-5188","issn":["1662-5188"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Computational Neuroscience","raw_type":"journal-article"},{"id":"pmid:38952709","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38952709","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":"Frontiers in computational neuroscience","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11215953","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11215953","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11215953/pdf/fncom-18-1415967.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Front Comput Neurosci","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:8f7180b60f84469da07e9557c4af6f36","is_oa":false,"landing_page_url":"https://doaj.org/article/8f7180b60f84469da07e9557c4af6f36","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":"Frontiers in Computational Neuroscience, Vol 18 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3389/fncom.2024.1415967","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fncom.2024.1415967","pdf_url":"https://public-pages-files-2025.frontiersin.org/journals/computational-neuroscience/articles/10.3389/fncom.2024.1415967/pdf","source":{"id":"https://openalex.org/S19778766","display_name":"Frontiers in Computational Neuroscience","issn_l":"1662-5188","issn":["1662-5188"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Computational Neuroscience","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2052594512","display_name":null,"funder_award_id":"JAT191153","funder_id":"https://openalex.org/F4320325565","funder_display_name":"Jimei University"},{"id":"https://openalex.org/G3373873353","display_name":null,"funder_award_id":"JAT191153","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6148026358","display_name":null,"funder_award_id":"2023J01785","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null},{"id":"https://openalex.org/F4320325565","display_name":"Jimei University","ror":"https://ror.org/03hknyb50"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4399740058.pdf"},"referenced_works_count":72,"referenced_works":["https://openalex.org/W1566689562","https://openalex.org/W1974991504","https://openalex.org/W1984087010","https://openalex.org/W2001612033","https://openalex.org/W2005791255","https://openalex.org/W2010474944","https://openalex.org/W2050102536","https://openalex.org/W2053744708","https://openalex.org/W2057741605","https://openalex.org/W2070724678","https://openalex.org/W2079735306","https://openalex.org/W2082136405","https://openalex.org/W2107541057","https://openalex.org/W2133082272","https://openalex.org/W2150020424","https://openalex.org/W2158076175","https://openalex.org/W2161351145","https://openalex.org/W2194775991","https://openalex.org/W2402787549","https://openalex.org/W2531918295","https://openalex.org/W2591292252","https://openalex.org/W2594644573","https://openalex.org/W2598587204","https://openalex.org/W2759483166","https://openalex.org/W2769083668","https://openalex.org/W2884001105","https://openalex.org/W2901730235","https://openalex.org/W2911761011","https://openalex.org/W2919115771","https://openalex.org/W2943251004","https://openalex.org/W2945968413","https://openalex.org/W2963290013","https://openalex.org/W2964267916","https://openalex.org/W2969889150","https://openalex.org/W2979835823","https://openalex.org/W2980073248","https://openalex.org/W2999144125","https://openalex.org/W3006560451","https://openalex.org/W3015929423","https://openalex.org/W3023066741","https://openalex.org/W3033004028","https://openalex.org/W3110770815","https://openalex.org/W3120755852","https://openalex.org/W3131375430","https://openalex.org/W3177992706","https://openalex.org/W3191390644","https://openalex.org/W3216623900","https://openalex.org/W4200184869","https://openalex.org/W4200207163","https://openalex.org/W4205642372","https://openalex.org/W4206244879","https://openalex.org/W4211147755","https://openalex.org/W4212836710","https://openalex.org/W4220653727","https://openalex.org/W4221004946","https://openalex.org/W4224950226","https://openalex.org/W4226169369","https://openalex.org/W4226315446","https://openalex.org/W4281647854","https://openalex.org/W4289341898","https://openalex.org/W4308531361","https://openalex.org/W4320402145","https://openalex.org/W4364302091","https://openalex.org/W4381327766","https://openalex.org/W4385074134","https://openalex.org/W4386536612","https://openalex.org/W4386796090","https://openalex.org/W4387008578","https://openalex.org/W6653209595","https://openalex.org/W6687483927","https://openalex.org/W6713276279","https://openalex.org/W6805621963"],"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/W2166624857","https://openalex.org/W2363907062","https://openalex.org/W2393137063","https://openalex.org/W4210722555"],"abstract_inverted_index":{"Electroencephalogram":[0],"(EEG)":[1],"plays":[2],"a":[3,44,62,87,181,187],"pivotal":[4],"role":[5],"in":[6,20,149],"the":[7,21,24,73,81,111,123,129,155,169,177],"detection":[8,32,144],"and":[9,35,133,151,186],"analysis":[10],"of":[11,27,77,118,131,147,184,191],"epileptic":[12,56,113,124,142],"seizures,":[13],"which":[14],"affects":[15],"over":[16],"70":[17],"million":[18],"people":[19],"world.":[22],"Nonetheless,":[23],"visual":[25],"interpretation":[26],"EEG":[28,59,78],"signals":[29],"for":[30,54,160],"epilepsy":[31,165],"is":[33,68,120],"laborious":[34],"time-consuming.":[36],"To":[37],"tackle":[38],"this":[39],"open":[40],"challenge,":[41],"we":[42],"introduce":[43],"straightforward":[45],"yet":[46],"efficient":[47],"hybrid":[48],"deep":[49,204],"learning":[50,205],"approach,":[51],"named":[52],"ResBiLSTM,":[53],"detecting":[55],"seizures":[57],"using":[58],"signals.":[60,79],"Firstly,":[61],"one-dimensional":[63],"residual":[64],"neural":[65],"network":[66],"(ResNet)":[67],"tailored":[69],"to":[70,94,109],"adeptly":[71],"extract":[72],"local":[74],"spatial":[75],"features":[76,83,100],"Subsequently,":[80],"acquired":[82],"are":[84,101],"input":[85],"into":[86],"bidirectional":[88],"long":[89],"short-term":[90],"memory":[91],"(BiLSTM)":[92],"layer":[93],"model":[95,140,179],"temporal":[96],"dependencies.":[97],"These":[98,196],"output":[99],"further":[102],"processed":[103],"through":[104],"two":[105],"fully":[106],"connected":[107],"layers":[108],"achieve":[110],"final":[112],"seizure":[114,125,143,161,166,171],"detection.":[115],"The":[116,138],"performance":[117],"ResBiLSTM":[119,139,178,200],"assessed":[121],"on":[122,154,168],"datasets":[126],"provided":[127],"by":[128],"University":[130,135],"Bonn":[132,156],"Temple":[134],"Hospital":[136],"(TUH).":[137],"achieves":[141],"accuracy":[145,183],"rates":[146],"98.88-100%":[148],"binary":[150],"ternary":[152],"classifications":[153],"dataset.":[157],"Experimental":[158],"outcomes":[159],"recognition":[162],"across":[163],"seven":[164],"types":[167],"TUH":[170],"corpus":[172],"(TUSZ)":[173],"dataset":[174],"indicate":[175],"that":[176,199],"attains":[180],"classification":[182],"95.03%":[185,192],"weighted":[188],"F1":[189],"score":[190],"with":[193],"10-fold":[194],"cross-validation.":[195],"findings":[197],"illustrate":[198],"outperforms":[201],"several":[202],"recent":[203],"state-of-the-art":[206],"approaches.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":19},{"year":2025,"cited_by_count":28},{"year":2024,"cited_by_count":6}],"updated_date":"2026-05-13T08:25:38.343686","created_date":"2025-10-10T00:00:00"}
