{"id":"https://openalex.org/W3127465085","doi":"https://doi.org/10.1109/icm50269.2020.9331776","title":"Patient Specific Epileptic Seizures Prediction based on Support Vector Machine","display_name":"Patient Specific Epileptic Seizures Prediction based on Support Vector Machine","publication_year":2020,"publication_date":"2020-12-14","ids":{"openalex":"https://openalex.org/W3127465085","doi":"https://doi.org/10.1109/icm50269.2020.9331776","mag":"3127465085"},"language":"en","primary_location":{"id":"doi:10.1109/icm50269.2020.9331776","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icm50269.2020.9331776","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 32nd International Conference on Microelectronics (ICM)","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/A5074859844","display_name":"Abdalla Gabara","orcid":null},"institutions":[{"id":"https://openalex.org/I80693520","display_name":"American University in Cairo","ror":"https://ror.org/0176yqn58","country_code":"EG","type":"education","lineage":["https://openalex.org/I80693520"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Abdalla Gabara","raw_affiliation_strings":["Electronics and Communication Department, the American University in Cairo, New Cairo, Egypt"],"affiliations":[{"raw_affiliation_string":"Electronics and Communication Department, the American University in Cairo, New Cairo, Egypt","institution_ids":["https://openalex.org/I80693520"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089704588","display_name":"Retaj Yousri","orcid":null},"institutions":[{"id":"https://openalex.org/I57629906","display_name":"Nile University","ror":"https://ror.org/03cg7cp61","country_code":"EG","type":"education","lineage":["https://openalex.org/I57629906"]},{"id":"https://openalex.org/I84058292","display_name":"Helwan University","ror":"https://ror.org/00h55v928","country_code":"EG","type":"education","lineage":["https://openalex.org/I84058292"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Retaj Yousri","raw_affiliation_strings":["Biomedical Engineering Department, Faculty of Engineering, Helwan University, Cairo, Egypt","Wireless Intelligent Networks Center (WINC), Nile University, Giza 12677, Egypt"],"affiliations":[{"raw_affiliation_string":"Biomedical Engineering Department, Faculty of Engineering, Helwan University, Cairo, Egypt","institution_ids":["https://openalex.org/I84058292"]},{"raw_affiliation_string":"Wireless Intelligent Networks Center (WINC), Nile University, Giza 12677, Egypt","institution_ids":["https://openalex.org/I57629906"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059658666","display_name":"Darine Hamdy","orcid":null},"institutions":[{"id":"https://openalex.org/I84524832","display_name":"Alexandria University","ror":"https://ror.org/00mzz1w90","country_code":"EG","type":"education","lineage":["https://openalex.org/I84524832"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Darine Hamdy","raw_affiliation_strings":["Electronics and Communication Department, Faculty of Engineering, Alexandria University, Egypt"],"affiliations":[{"raw_affiliation_string":"Electronics and Communication Department, Faculty of Engineering, Alexandria University, Egypt","institution_ids":["https://openalex.org/I84524832"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064175533","display_name":"Michael H. Zakhari","orcid":null},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Michael H. Zakhari","raw_affiliation_strings":["Electronics and Communication Department, Faculty of Engineering, Cairo University, Giza 12613, Egypt"],"affiliations":[{"raw_affiliation_string":"Electronics and Communication Department, Faculty of Engineering, Cairo University, Giza 12613, Egypt","institution_ids":["https://openalex.org/I145487455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063929219","display_name":"Hassan Mostafa","orcid":"https://orcid.org/0000-0003-0043-5007"},"institutions":[{"id":"https://openalex.org/I4210150948","display_name":"Zewail City of Science and Technology","ror":"https://ror.org/04w5f4y88","country_code":"EG","type":"education","lineage":["https://openalex.org/I4210150948"]},{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Hassan Mostafa","raw_affiliation_strings":["Electronics and Communication Department, Faculty of Engineering, Cairo University, Giza 12613, Egypt","Nanotechnology Department Zewail, University of Science and technology, Giza, 12578, Egypt City"],"affiliations":[{"raw_affiliation_string":"Electronics and Communication Department, Faculty of Engineering, Cairo University, Giza 12613, Egypt","institution_ids":["https://openalex.org/I145487455"]},{"raw_affiliation_string":"Nanotechnology Department Zewail, University of Science and technology, Giza, 12578, Egypt City","institution_ids":["https://openalex.org/I4210150948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5074859844"],"corresponding_institution_ids":["https://openalex.org/I80693520"],"apc_list":null,"apc_paid":null,"fwci":1.004,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.74879371,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9921000003814697,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9728999733924866,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/support-vector-machine","display_name":"Support vector machine","score":0.8284730911254883},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7574211359024048},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7199863791465759},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.657929539680481},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6541237831115723},{"id":"https://openalex.org/keywords/epileptic-seizure","display_name":"Epileptic seizure","score":0.6066482067108154},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.6064422130584717},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5562713146209717},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5502628087997437},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5234774351119995},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5098720788955688},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4746195375919342},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4122687876224518},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08227622509002686},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07573309540748596},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.06556928157806396}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8284730911254883},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7574211359024048},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7199863791465759},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.657929539680481},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6541237831115723},{"id":"https://openalex.org/C2779334592","wikidata":"https://www.wikidata.org/wiki/Q6279182","display_name":"Epileptic seizure","level":3,"score":0.6066482067108154},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.6064422130584717},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5562713146209717},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5502628087997437},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5234774351119995},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5098720788955688},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4746195375919342},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4122687876224518},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08227622509002686},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07573309540748596},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.06556928157806396},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icm50269.2020.9331776","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icm50269.2020.9331776","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 32nd International Conference on Microelectronics (ICM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321148","display_name":"Cairo University","ror":"https://ror.org/03q21mh05"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1511923812","https://openalex.org/W1994233698","https://openalex.org/W2023869733","https://openalex.org/W2043184137","https://openalex.org/W2097936772","https://openalex.org/W2146978355","https://openalex.org/W2149407814","https://openalex.org/W2152282628","https://openalex.org/W2308022900","https://openalex.org/W2594111781","https://openalex.org/W2726864513","https://openalex.org/W2769697860","https://openalex.org/W2780723646","https://openalex.org/W2889643235","https://openalex.org/W2973096226","https://openalex.org/W3011834987","https://openalex.org/W6682394075","https://openalex.org/W6746483608"],"related_works":["https://openalex.org/W2922348724","https://openalex.org/W200322357","https://openalex.org/W2130428257","https://openalex.org/W4308951944","https://openalex.org/W4293226380","https://openalex.org/W2057366091","https://openalex.org/W2032664813","https://openalex.org/W2166624857","https://openalex.org/W2899025944","https://openalex.org/W2331313489"],"abstract_inverted_index":{"Throughout":[0],"the":[1,12,33,38,79,103,106,110,120,126,129,137],"last":[2],"decades":[3],"there":[4],"has":[5],"been":[6],"an":[7],"increasing":[8],"interest":[9],"in":[10,18],"analyzing":[11],"EEG":[13,39,107],"signals":[14,40],"of":[15,65,77,128],"epilepsy":[16,24],"patients":[17,139],"order":[19],"to":[20,23,36,69,83],"relate":[21],"it":[22],"seizure":[25,45,80],"onsets.":[26],"Previous":[27],"research":[28],"papers":[29],"were":[30],"published":[31],"exploring":[32],"possible":[34],"techniques":[35],"utilize":[37],"for":[41,99,114,136],"detecting":[42],"and":[43,50,59,89,117],"predicting":[44,78],"onsets":[46,81],"through":[47],"Machine":[48,73],"Learning":[49,52,74],"Deep":[51],"models,":[53],"such":[54],"as":[55],"Support":[56],"Vector":[57],"Machines":[58],"Convolutional":[60],"Neural":[61],"Networks.":[62],"The":[63,91],"aim":[64],"this":[66],"work":[67],"is":[68],"build":[70],"practical":[71],"hardware-implementable":[72],"classifiers":[75],"capable":[76],"prior":[82],"their":[84],"occurrences":[85],"with":[86,140],"high":[87],"sensitivity":[88],"accuracy.":[90],"classification":[92,131],"method":[93],"proposed":[94,130],"involves":[95],"removing":[96],"certain":[97],"channels":[98],"each":[100,115],"patient,":[101,116],"extracting":[102],"features":[104],"from":[105],"signal,":[108],"selecting":[109],"best":[111],"feature":[112],"combination":[113],"finally":[118],"training":[119],"selected":[121,138],"SVM":[122],"classifier":[123],"accordingly.":[124],"Evaluating":[125],"performance":[127],"technique":[132],"yields":[133],"promising":[134],"results":[135],"accuracies":[141],"exceeding":[142],"95%.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
