{"id":"https://openalex.org/W3183310626","doi":"https://doi.org/10.1109/siu53274.2021.9477769","title":"Epileptic Seizure Prediction Using Convolutional Autoencoder Based Deep Learning","display_name":"Epileptic Seizure Prediction Using Convolutional Autoencoder Based Deep Learning","publication_year":2021,"publication_date":"2021-06-09","ids":{"openalex":"https://openalex.org/W3183310626","doi":"https://doi.org/10.1109/siu53274.2021.9477769","mag":"3183310626"},"language":"en","primary_location":{"id":"doi:10.1109/siu53274.2021.9477769","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu53274.2021.9477769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 29th Signal Processing and Communications Applications Conference (SIU)","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/A5020462113","display_name":"Burak G\u00f6z\u00fctok","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Burak G\u00f6z\u00fctok","raw_affiliation_strings":["Biyomedikal M&#x00FC;hendisli&#x00FC;i Enstit&#x00FC;s&#x00FC;, Bo&#x00FC;azi&#x00E7;i &#x00DC;niversitesi,&#x0130;stanbul,T&#x00FC;rkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biyomedikal M&#x00FC;hendisli&#x00FC;i Enstit&#x00FC;s&#x00FC;, Bo&#x00FC;azi&#x00E7;i &#x00DC;niversitesi,&#x0130;stanbul,T&#x00FC;rkiye","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5096799380","display_name":"Ahmet Ademo\u00fclu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ahmet Ademo\u00fclu","raw_affiliation_strings":["Biyomedikal M&#x00FC;hendisli&#x00FC;i Enstit&#x00FC;s&#x00FC;, Bo&#x00FC;azi&#x00E7;i &#x00DC;niversitesi,&#x0130;stanbul,T&#x00FC;rkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biyomedikal M&#x00FC;hendisli&#x00FC;i Enstit&#x00FC;s&#x00FC;, Bo&#x00FC;azi&#x00E7;i &#x00DC;niversitesi,&#x0130;stanbul,T&#x00FC;rkiye","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2381,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49635635,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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":0.9800999760627747,"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/T14319","display_name":"Currency Recognition and Detection","score":0.9732000231742859,"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/autoencoder","display_name":"Autoencoder","score":0.8760735392570496},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.726098358631134},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7114588618278503},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7031749486923218},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6860392093658447},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.6519432663917542},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.650107204914093},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6459111571311951},{"id":"https://openalex.org/keywords/epileptic-seizure","display_name":"Epileptic seizure","score":0.6363800168037415},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6348318457603455},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5697320103645325},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5054457187652588},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10221976041793823},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0890083909034729},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.06319558620452881}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8760735392570496},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.726098358631134},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7114588618278503},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7031749486923218},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6860392093658447},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.6519432663917542},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.650107204914093},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6459111571311951},{"id":"https://openalex.org/C2779334592","wikidata":"https://www.wikidata.org/wiki/Q6279182","display_name":"Epileptic seizure","level":3,"score":0.6363800168037415},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6348318457603455},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5697320103645325},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5054457187652588},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10221976041793823},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0890083909034729},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.06319558620452881},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu53274.2021.9477769","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu53274.2021.9477769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 29th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1582458650","https://openalex.org/W2232896714","https://openalex.org/W2767033786","https://openalex.org/W2801752756","https://openalex.org/W2901504266","https://openalex.org/W2965277555"],"related_works":["https://openalex.org/W2732415564","https://openalex.org/W2772780115","https://openalex.org/W2279398222","https://openalex.org/W4299822940","https://openalex.org/W3156786002","https://openalex.org/W2732542196","https://openalex.org/W2995914718","https://openalex.org/W3186111093","https://openalex.org/W2771515600","https://openalex.org/W3183310626"],"abstract_inverted_index":{"Epilepsy":[0],"is":[1,33,54,64,98],"one":[2],"of":[3,13,17,74],"the":[4,10,40,96],"most":[5],"common":[6],"neurological":[7],"diseases":[8],"in":[9,95],"world.":[11],"Prediction":[12],"epileptic":[14],"seizures":[15],"are":[16],"great":[18],"importance":[19],"for":[20],"both":[21],"health":[22],"care":[23],"providers":[24],"and":[25,80],"epilepsy":[26],"patients.":[27],"In":[28],"this":[29,62],"study,":[30],"seizure":[31,84],"prediction":[32,85],"performed":[34],"using":[35],"Electroencephalographic":[36],"(EEG)":[37],"data.":[38],"Unlike":[39],"traditional":[41],"feature":[42,57,78],"extraction":[43,58],"methods,":[44],"an":[45,76,82],"autoencoder":[46],"architecture":[47,63],"which":[48],"has":[49,87],"been":[50,88],"trained":[51],"without":[52],"supervision,":[53],"employed.":[55],"The":[56,90],"system":[59,86],"developed":[60],"with":[61,66],"combined":[65],"a":[67],"deep":[68],"learning":[69],"based":[70],"classifier.":[71],"By":[72],"way":[73],"deriving":[75],"automatic":[77],"extractor":[79],"classifier,":[81],"end-to-end":[83],"developed.":[89],"highest":[91],"accuracy":[92],"rate":[93],"achiveved":[94],"study":[97],"92.2%.":[99]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
