{"id":"https://openalex.org/W4320024226","doi":"https://doi.org/10.1109/bigdata55660.2022.10020818","title":"Fast Fourier Transform and Ensemble Model to Classify Epileptic EEG Signals","display_name":"Fast Fourier Transform and Ensemble Model to Classify Epileptic EEG Signals","publication_year":2022,"publication_date":"2022-12-17","ids":{"openalex":"https://openalex.org/W4320024226","doi":"https://doi.org/10.1109/bigdata55660.2022.10020818"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata55660.2022.10020818","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata55660.2022.10020818","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5063057600","display_name":"Raid Lafta","orcid":"https://orcid.org/0000-0001-6301-335X"},"institutions":[{"id":"https://openalex.org/I202735123","display_name":"Thi Qar University","ror":"https://ror.org/02ypa8k59","country_code":"IQ","type":"education","lineage":["https://openalex.org/I202735123"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Raid Lafta","raw_affiliation_strings":["University of Thi-Qar,Dep. of Studies &#x0026; Planning,Iraq"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Thi-Qar,Dep. of Studies &#x0026; Planning,Iraq","institution_ids":["https://openalex.org/I202735123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049882711","display_name":"Hisham Alshaheen","orcid":"https://orcid.org/0000-0003-1186-1167"},"institutions":[{"id":"https://openalex.org/I202735123","display_name":"Thi Qar University","ror":"https://ror.org/02ypa8k59","country_code":"IQ","type":"education","lineage":["https://openalex.org/I202735123"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Hisham Alshaheen","raw_affiliation_strings":["University of Thi-Qar,College of Engineering,Iraq","College of Engineering, University of Thi-Qar, Iraq"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Thi-Qar,College of Engineering,Iraq","institution_ids":["https://openalex.org/I202735123"]},{"raw_affiliation_string":"College of Engineering, University of Thi-Qar, Iraq","institution_ids":["https://openalex.org/I202735123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100439464","display_name":"Biao Wang","orcid":"https://orcid.org/0000-0001-7691-4368"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biao Wang","raw_affiliation_strings":["Zhejiang Lab,China","Zhejiang Lab, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Lab,China","institution_ids":["https://openalex.org/I4210123185"]},{"raw_affiliation_string":"Zhejiang Lab, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065941595","display_name":"Xiaohui Tao","orcid":"https://orcid.org/0000-0002-0020-077X"},"institutions":[{"id":"https://openalex.org/I185523456","display_name":"University of Southern Queensland","ror":"https://ror.org/04sjbnx57","country_code":"AU","type":"education","lineage":["https://openalex.org/I185523456"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiaohui Tao","raw_affiliation_strings":["University of Southern Queensland,Australia","University of Southern Queensland, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southern Queensland,Australia","institution_ids":["https://openalex.org/I185523456"]},{"raw_affiliation_string":"University of Southern Queensland, Australia","institution_ids":["https://openalex.org/I185523456"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443350","display_name":"Lingling Li","orcid":"https://orcid.org/0000-0002-6130-2518"},"institutions":[{"id":"https://openalex.org/I192868223","display_name":"Zhengzhou University of Aeronautics","ror":"https://ror.org/01qjyzh50","country_code":"CN","type":"education","lineage":["https://openalex.org/I192868223"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingling Li","raw_affiliation_strings":["Zhengzhou University of Aeronautics,School of Intelligent Engineering,China","School of Intelligent Engineering, Zhengzhou University of Aeronautics, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhengzhou University of Aeronautics,School of Intelligent Engineering,China","institution_ids":["https://openalex.org/I192868223"]},{"raw_affiliation_string":"School of Intelligent Engineering, Zhengzhou University of Aeronautics, China","institution_ids":["https://openalex.org/I192868223"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100459334","display_name":"Kexin Zhang","orcid":"https://orcid.org/0000-0002-1046-9182"},"institutions":[{"id":"https://openalex.org/I192868223","display_name":"Zhengzhou University of Aeronautics","ror":"https://ror.org/01qjyzh50","country_code":"CN","type":"education","lineage":["https://openalex.org/I192868223"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kexin Zhang","raw_affiliation_strings":["Zhengzhou University of Aeronautics,School of Intelligent Engineering,China","School of Intelligent Engineering, Zhengzhou University of Aeronautics, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhengzhou University of Aeronautics,School of Intelligent Engineering,China","institution_ids":["https://openalex.org/I192868223"]},{"raw_affiliation_string":"School of Intelligent Engineering, Zhengzhou University of Aeronautics, China","institution_ids":["https://openalex.org/I192868223"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100705326","display_name":"Ji Zhang","orcid":"https://orcid.org/0000-0001-7167-6970"},"institutions":[{"id":"https://openalex.org/I185523456","display_name":"University of Southern Queensland","ror":"https://ror.org/04sjbnx57","country_code":"AU","type":"education","lineage":["https://openalex.org/I185523456"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ji Zhang","raw_affiliation_strings":["University of Southern Queensland,Australia","University of Southern Queensland, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southern Queensland,Australia","institution_ids":["https://openalex.org/I185523456"]},{"raw_affiliation_string":"University of Southern Queensland, Australia","institution_ids":["https://openalex.org/I185523456"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6745","last_page":"6746"},"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":0.9983000159263611,"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":0.9850999712944031,"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/electroencephalography","display_name":"Electroencephalography","score":0.7555195093154907},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7370551824569702},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6691847443580627},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6537864208221436},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.5915416479110718},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5231260657310486},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.4980461597442627},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.4919002056121826},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.45172446966171265},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.374557226896286},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3740685284137726},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15475034713745117},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13879850506782532},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07307121157646179},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.07211941480636597}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7555195093154907},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7370551824569702},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6691847443580627},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6537864208221436},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.5915416479110718},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5231260657310486},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.4980461597442627},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.4919002056121826},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.45172446966171265},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.374557226896286},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3740685284137726},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15475034713745117},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13879850506782532},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07307121157646179},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.07211941480636597},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata55660.2022.10020818","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata55660.2022.10020818","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.46000000834465027,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1571829530","https://openalex.org/W2074838957","https://openalex.org/W2097120763","https://openalex.org/W2109125224","https://openalex.org/W2575693046","https://openalex.org/W2958908615","https://openalex.org/W3138666572","https://openalex.org/W4223447344"],"related_works":["https://openalex.org/W4327521644","https://openalex.org/W2922348724","https://openalex.org/W2978884468","https://openalex.org/W200322357","https://openalex.org/W2130428257","https://openalex.org/W2168413811","https://openalex.org/W2005846134","https://openalex.org/W4308951944","https://openalex.org/W2369237035","https://openalex.org/W2948041274"],"abstract_inverted_index":{"The":[0,43,76,130,145],"analysis":[1],"of":[2,13,33,46,52,64,133,140],"electroencephalogram":[3],"(EEG)":[4],"signals":[5,60,78],"can":[6,24],"provide":[7],"valuable":[8],"insights":[9],"to":[10,41,89,103,125],"the":[11,34,50,58,62,91,105,127,138,141,150,160],"nature":[12],"many":[14],"diseases":[15],"such":[16],"as":[17],"Alzheimer,":[18],"epilepsy,":[19],"sleep":[20],"problems":[21],"and":[22,28,119],"thus":[23],"improve":[25],"our":[26],"understating":[27],"treatment":[29],"about":[30],"them.":[31],"One":[32],"major":[35],"EEG":[36,59,77,162],"signal":[37],"applications":[38],"is":[39,49,135,153],"related":[40],"Epilepsy.":[42],"main":[44],"contribution":[45],"this":[47],"work":[48],"proposal":[51],"an":[53,73,100],"effective":[54],"scheme":[55],"for":[56,61],"classifying":[57,159],"study":[63],"epilepsy":[65],"based":[66],"on":[67,137],"Fast":[68,86],"Fourier":[69,87],"Transform":[70,88],"(FFT)":[71],"under":[72],"ensemble":[74,101,128],"model.":[75],"are":[79,96,123],"decomposed":[80],"into":[81,99],"frequency":[82],"bands":[83],"by":[84],"using":[85],"extract":[90],"key":[92],"statistical":[93],"features,":[94],"which":[95],"then":[97],"fed":[98],"model":[102],"classify":[104],"epileptic":[106,161],"patients.":[107],"Three":[108],"base":[109],"classifiers":[110,143],"\u2013":[111],"Na\u00efve":[112],"Bayes,":[113],"Least":[114],"Square":[115],"Support":[116],"Vector":[117],"Machine":[118],"Neural":[120],"Networks":[121],"-":[122],"utilized":[124],"construct":[126],"framework.":[129],"final":[131],"decision":[132],"classification":[134],"dependent":[136],"aggregation":[139],"three":[142],"decisions.":[144],"experimental":[146],"results":[147],"demonstrated":[148],"that":[149],"proposed":[151],"technique":[152],"a":[154],"promising":[155],"tool":[156],"in":[157],"accurately":[158],"signals.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
