{"id":"https://openalex.org/W3007502327","doi":"https://doi.org/10.1109/ssci44817.2019.9002853","title":"EEG Absence Seizure Detection with Autocorrelation Function and Recurrent Neural Network","display_name":"EEG Absence Seizure Detection with Autocorrelation Function and Recurrent Neural Network","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3007502327","doi":"https://doi.org/10.1109/ssci44817.2019.9002853","mag":"3007502327"},"language":"en","primary_location":{"id":"doi:10.1109/ssci44817.2019.9002853","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci44817.2019.9002853","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Symposium Series on Computational Intelligence (SSCI)","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/A5019812860","display_name":"Yifei Yu","orcid":"https://orcid.org/0000-0003-1442-1781"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yifei Yu","raw_affiliation_strings":["School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101558908","display_name":"Haoran Qin","orcid":"https://orcid.org/0009-0007-4789-5488"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoran Qin","raw_affiliation_strings":["School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065766320","display_name":"Yuanxiang Li","orcid":"https://orcid.org/0000-0002-1797-3621"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanxiang Li","raw_affiliation_strings":["School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082277678","display_name":"Zaifen Gao","orcid":"https://orcid.org/0000-0001-8197-8657"},"institutions":[{"id":"https://openalex.org/I4210161528","display_name":"Qilu Hospital of Shandong University","ror":"https://ror.org/056ef9489","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210161528"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zaifen Gao","raw_affiliation_strings":["Qilu Children's Hospital of Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Qilu Children's Hospital of Shandong University, Jinan, China","institution_ids":["https://openalex.org/I4210161528"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049115954","display_name":"Zhongtao Gai","orcid":"https://orcid.org/0000-0002-2716-457X"},"institutions":[{"id":"https://openalex.org/I4210161528","display_name":"Qilu Hospital of Shandong University","ror":"https://ror.org/056ef9489","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210161528"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongtao Gai","raw_affiliation_strings":["Qilu Children's Hospital of Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Qilu Children's Hospital of Shandong University, Jinan, China","institution_ids":["https://openalex.org/I4210161528"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5019812860"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.124,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.50962114,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2019","issue":null,"first_page":"3059","last_page":"3064"},"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9883000254631042,"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/T14319","display_name":"Currency Recognition and Detection","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/autocorrelation","display_name":"Autocorrelation","score":0.8464442491531372},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7577938437461853},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5926092863082886},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5523757934570312},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4846075475215912},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48382750153541565},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.47546905279159546},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.41806501150131226},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.34661775827407837},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.34423118829727173},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22097647190093994},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.18093863129615784},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14817476272583008}],"concepts":[{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.8464442491531372},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7577938437461853},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5926092863082886},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5523757934570312},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4846075475215912},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48382750153541565},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.47546905279159546},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.41806501150131226},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.34661775827407837},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34423118829727173},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22097647190093994},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.18093863129615784},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14817476272583008}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ssci44817.2019.9002853","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci44817.2019.9002853","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},{"id":"mag:3042156720","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002285092915671","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1584270973","https://openalex.org/W2001612033","https://openalex.org/W2129309861","https://openalex.org/W2138160374","https://openalex.org/W2142176585","https://openalex.org/W2156192068","https://openalex.org/W2157331557","https://openalex.org/W2277425195","https://openalex.org/W2335311150","https://openalex.org/W2461729787","https://openalex.org/W2560692704","https://openalex.org/W2580617234","https://openalex.org/W2805834452","https://openalex.org/W2902141984","https://openalex.org/W2907284364","https://openalex.org/W2924300997","https://openalex.org/W2950635152","https://openalex.org/W4246779055","https://openalex.org/W4288410936","https://openalex.org/W6761203375"],"related_works":["https://openalex.org/W747394405","https://openalex.org/W1987236514","https://openalex.org/W174653542","https://openalex.org/W2381153750","https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W3032952384","https://openalex.org/W3034302643","https://openalex.org/W2041235277","https://openalex.org/W2088220880"],"abstract_inverted_index":{"Epilepsy":[0],"patients":[1,19,117],"experience":[2],"challenges":[3],"in":[4,48,152],"daily":[5],"life,":[6],"and":[7,54,79,103],"epilepsy":[8],"seizures":[9,63],"might":[10],"cause":[11],"injuries":[12],"or":[13,20,30],"endanger":[14],"the":[15,18,37,45,71,76,90,94,99,111,120,148],"life":[16],"of":[17,62,93,115,122,150],"others.":[21],"The":[22,126],"electroencephalogram":[23],"(EEG)":[24],"signals,":[25],"recorded":[26],"by":[27],"a":[28,81,104],"machine":[29],"device,":[31],"are":[32],"often":[33],"used":[34],"to":[35,74,88,118],"analyze":[36],"brain":[38],"electrical":[39],"activity,":[40],"which":[41,97,144],"is":[42,51,64],"noninvasive.":[43],"Locating":[44],"seizure":[46,91],"period":[47,92],"EEG":[49,77,95,113],"recordings":[50],"usually":[52],"difficult":[53],"time":[55],"consuming":[56],"for":[57,141],"doctors.":[58],"Therefore,":[59],"automatic":[60],"detection":[61,139],"necessary.":[65],"In":[66],"this":[67],"paper,":[68],"we":[69],"use":[70,110],"autocorrelation":[72],"function":[73],"extract":[75],"features,":[78],"propose":[80],"method":[82,132],"based":[83],"on":[84],"Recurrent":[85],"Neural":[86],"Network":[87],"detect":[89],"signal,":[96],"combines":[98],"gated":[100],"recurrent":[101],"unit":[102],"1-D":[105],"convolutional":[106],"embedding":[107],"head.":[108],"We":[109],"clinical":[112,153],"recording":[114],"15":[116],"simulate":[119],"results":[121,128],"our":[123,131],"proposed":[124],"method.":[125],"experimental":[127],"demonstrate":[129],"that":[130],"achieves":[133],"an":[134],"excellent":[135],"performance":[136],"with":[137],"99.6%":[138],"accuracy":[140],"Absence":[142],"Seizure,":[143],"can":[145],"greatly":[146],"reduce":[147],"workload":[149],"doctors":[151],"diagnosis.":[154]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}