{"id":"https://openalex.org/W2905322146","doi":"https://doi.org/10.1109/ssd.2018.8570496","title":"A Multiclass Epilepsy Identification Technique Using Wavelet-Based Features","display_name":"A Multiclass Epilepsy Identification Technique Using Wavelet-Based Features","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2905322146","doi":"https://doi.org/10.1109/ssd.2018.8570496","mag":"2905322146"},"language":"en","primary_location":{"id":"doi:10.1109/ssd.2018.8570496","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssd.2018.8570496","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 15th International Multi-Conference on Systems, Signals &amp; Devices (SSD)","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/A5050703153","display_name":"Sameh Bellegdi","orcid":"https://orcid.org/0000-0002-9897-1045"},"institutions":[{"id":"https://openalex.org/I134085113","display_name":"King Fahd University of Petroleum and Minerals","ror":"https://ror.org/03yez3163","country_code":"SA","type":"education","lineage":["https://openalex.org/I134085113"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Sameh A. Bellegdi","raw_affiliation_strings":["King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia","institution_ids":["https://openalex.org/I134085113"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032355192","display_name":"Mohamed Deriche","orcid":"https://orcid.org/0000-0002-5287-1874"},"institutions":[{"id":"https://openalex.org/I134085113","display_name":"King Fahd University of Petroleum and Minerals","ror":"https://ror.org/03yez3163","country_code":"SA","type":"education","lineage":["https://openalex.org/I134085113"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Mohamed Deriche","raw_affiliation_strings":["King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia","institution_ids":["https://openalex.org/I134085113"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073080815","display_name":"Samer Arafat","orcid":"https://orcid.org/0000-0003-1530-208X"},"institutions":[{"id":"https://openalex.org/I134085113","display_name":"King Fahd University of Petroleum and Minerals","ror":"https://ror.org/03yez3163","country_code":"SA","type":"education","lineage":["https://openalex.org/I134085113"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Samer M.A. Arafat","raw_affiliation_strings":["King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia","institution_ids":["https://openalex.org/I134085113"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5050703153"],"corresponding_institution_ids":["https://openalex.org/I134085113"],"apc_list":null,"apc_paid":null,"fwci":0.1235,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48589714,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2017","issue":null,"first_page":"1246","last_page":"1251"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9954000115394592,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"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":0.8306281566619873},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7133409380912781},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6714903116226196},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.668466329574585},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6578757166862488},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.6270354986190796},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.5647850036621094},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5584753751754761},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.5472374558448792},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5117602348327637},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4788087010383606},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.47623971104621887},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.45476654171943665},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.433952659368515},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.41203632950782776},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07461413741111755},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.06534090638160706},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.05485469102859497}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8306281566619873},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7133409380912781},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6714903116226196},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.668466329574585},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6578757166862488},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.6270354986190796},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.5647850036621094},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5584753751754761},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5472374558448792},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5117602348327637},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4788087010383606},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.47623971104621887},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.45476654171943665},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.433952659368515},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.41203632950782776},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07461413741111755},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.06534090638160706},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.05485469102859497},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssd.2018.8570496","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssd.2018.8570496","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 15th International Multi-Conference on Systems, Signals &amp; Devices (SSD)","raw_type":"proceedings-article"}],"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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1678356000","https://openalex.org/W1999771120","https://openalex.org/W2021970732","https://openalex.org/W2053744708","https://openalex.org/W2077594923","https://openalex.org/W2107541057","https://openalex.org/W2139525108","https://openalex.org/W2148603752","https://openalex.org/W2170505850","https://openalex.org/W2580194401","https://openalex.org/W2583531327","https://openalex.org/W2586456943","https://openalex.org/W2588128256","https://openalex.org/W2619386390","https://openalex.org/W2623028730","https://openalex.org/W2624754216","https://openalex.org/W2736081097","https://openalex.org/W2763351480","https://openalex.org/W6739115635"],"related_works":["https://openalex.org/W2076543106","https://openalex.org/W4376528628","https://openalex.org/W2523437662","https://openalex.org/W89844371","https://openalex.org/W2019891950","https://openalex.org/W1537592868","https://openalex.org/W2085842814","https://openalex.org/W4286643620","https://openalex.org/W2470590370","https://openalex.org/W4387048144"],"abstract_inverted_index":{"Epilepsy":[0],"affects":[1],"around":[2],"1%":[3],"of":[4,16,40,43,85,96],"the":[5,12,17,27,83,94,101,105,135,139],"world's":[6],"population.":[7],"The":[8,60,90],"electroencephalogram":[9],"(EEG)":[10],"is":[11,22,77],"most":[13],"common":[14],"measure":[15],"brain's":[18],"electrical":[19],"activity.":[20],"It":[21],"used":[23,62],"clinically":[24],"and":[25,54,70,127],"by":[26],"research":[28],"community":[29],"to":[30,115,134],"study":[31,39,76],"brain":[32],"disorders.":[33],"This":[34],"paper":[35],"presents":[36],"a":[37],"comparative":[38],"automatic":[41],"detection":[42],"epilepsy":[44],"using":[45,79],"wavelet-":[46],"based":[47],"features":[48,98],"with":[49],"different":[50,97],"classifiers.":[51,102,112],"Both":[52],"binary":[53,120],"multiclass":[55],"classification":[56],"setups":[57],"are":[58,63,132],"studied.":[59],"classifiers":[61],"TreeBoost,":[64],"multilayer":[65],"perceptron":[66],"(MLP)":[67],"neural":[68],"network,":[69],"support":[71],"vector":[72],"machine":[73],"(SVM).":[74],"Our":[75],"evaluated":[78],"EEG":[80],"dataset":[81],"from":[82],"University":[84],"Bonn":[86],"Hospital":[87],"in":[88],"Germany.":[89],"obtained":[91],"results":[92,106,131,136],"show":[93,107,128],"significance":[95],"block":[99],"for":[100,138],"In":[103,113],"addition,":[104],"that":[108,129],"TreeBoost":[109],"outperforms":[110],"other":[111],"contrast":[114],"existing":[116],"works":[117],"carry":[118],"only":[119],"classification,":[121],"we":[122],"consider":[123],"here":[124],"4":[125],"classes":[126],"our":[130],"comparable":[133],"reported":[137],"single":[140],"2-class":[141],"problem.":[142]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
