{"id":"https://openalex.org/W2758802379","doi":"https://doi.org/10.17706/jcp.13.6.616-621","title":"Efficient Prediction and Classification of Epileptic Seizures Using EEG Data Based on Univariate Linear Features","display_name":"Efficient Prediction and Classification of Epileptic Seizures Using EEG Data Based on Univariate Linear Features","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2758802379","doi":"https://doi.org/10.17706/jcp.13.6.616-621","mag":"2758802379"},"language":"en","primary_location":{"id":"doi:10.17706/jcp.13.6.616-621","is_oa":true,"landing_page_url":"https://doi.org/10.17706/jcp.13.6.616-621","pdf_url":"http://www.jcomputers.us/vol13/jcp1306-04.pdf","source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://www.jcomputers.us/vol13/jcp1306-04.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056889379","display_name":"Syed Muhammad Usman","orcid":"https://orcid.org/0000-0002-0504-3558"},"institutions":[{"id":"https://openalex.org/I929597975","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17","country_code":"PK","type":"education","lineage":["https://openalex.org/I929597975"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Syed Muhammad Usman","raw_affiliation_strings":["College of Electrical and Mechanical Engineering, NUST Islamabad, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Mechanical Engineering, NUST Islamabad, Pakistan","institution_ids":["https://openalex.org/I929597975"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5056889379"],"corresponding_institution_ids":["https://openalex.org/I929597975"],"apc_list":null,"apc_paid":null,"fwci":1.5402,"has_fulltext":true,"cited_by_count":32,"citation_normalized_percentile":{"value":0.81049886,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"616","last_page":"621"},"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/T14319","display_name":"Currency Recognition and Detection","score":0.9891999959945679,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9879000186920166,"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/ictal","display_name":"Ictal","score":0.9240500926971436},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.8748713731765747},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7482622861862183},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.5669033527374268},{"id":"https://openalex.org/keywords/epileptic-seizure","display_name":"Epileptic seizure","score":0.5616154074668884},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4393225908279419},{"id":"https://openalex.org/keywords/audiology","display_name":"Audiology","score":0.3658254146575928},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3633192181587219},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3237829804420471},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.2229488492012024},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14485076069831848},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.0834692120552063}],"concepts":[{"id":"https://openalex.org/C17755696","wikidata":"https://www.wikidata.org/wiki/Q16564780","display_name":"Ictal","level":3,"score":0.9240500926971436},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.8748713731765747},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7482622861862183},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.5669033527374268},{"id":"https://openalex.org/C2779334592","wikidata":"https://www.wikidata.org/wiki/Q6279182","display_name":"Epileptic seizure","level":3,"score":0.5616154074668884},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4393225908279419},{"id":"https://openalex.org/C548259974","wikidata":"https://www.wikidata.org/wiki/Q569965","display_name":"Audiology","level":1,"score":0.3658254146575928},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3633192181587219},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3237829804420471},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.2229488492012024},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14485076069831848},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.0834692120552063}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.17706/jcp.13.6.616-621","is_oa":true,"landing_page_url":"https://doi.org/10.17706/jcp.13.6.616-621","pdf_url":"http://www.jcomputers.us/vol13/jcp1306-04.pdf","source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.17706/jcp.13.6.616-621","is_oa":true,"landing_page_url":"https://doi.org/10.17706/jcp.13.6.616-621","pdf_url":"http://www.jcomputers.us/vol13/jcp1306-04.pdf","source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2758802379.pdf","grobid_xml":"https://content.openalex.org/works/W2758802379.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W192718287","https://openalex.org/W1977177161","https://openalex.org/W1989385468","https://openalex.org/W1990441178","https://openalex.org/W1994024039","https://openalex.org/W2008056655","https://openalex.org/W2027927824","https://openalex.org/W2045394053","https://openalex.org/W2062895901","https://openalex.org/W2107541057","https://openalex.org/W2110661716","https://openalex.org/W2142582849","https://openalex.org/W2152282628","https://openalex.org/W2155399784","https://openalex.org/W2163614729","https://openalex.org/W2484311431","https://openalex.org/W2549975402","https://openalex.org/W4248307879","https://openalex.org/W4401559259","https://openalex.org/W6652226953","https://openalex.org/W6657561222","https://openalex.org/W6661900471","https://openalex.org/W6676767435","https://openalex.org/W6729089581"],"related_works":["https://openalex.org/W1828158523","https://openalex.org/W2075017247","https://openalex.org/W2047547195","https://openalex.org/W1988222024","https://openalex.org/W2405240590","https://openalex.org/W2809907213","https://openalex.org/W3091390542","https://openalex.org/W2166624857","https://openalex.org/W2363907062","https://openalex.org/W2393137063"],"abstract_inverted_index":{"Epilepsy":[0],"is":[1,14,59,72,87,128,135,141,145,151,191,215,252],"defined":[2],"as":[3,90],"seizures":[4,18],"which":[5,19,109,127,139,150,161],"happen":[6],"due":[7],"to":[8,73,113,200,222,227],"disorder":[9],"in":[10,22,26,47,225],"brain":[11],"functionality.":[12],"It":[13,194],"certain":[15],"kind":[16],"of":[17,54,65,69,94,121,132,166,237],"effect":[20],"patient":[21,30,76,168],"more":[23],"than":[24],"twice":[25],"a":[27,38,147,216],"day":[28],"when":[29],"loss":[31],"its":[32,82],"senses":[33],"completely":[34],"or":[35,50],"partially":[36],"for":[37,62,97,219],"short":[39],"duration.":[40],"Mostly":[41],"people":[42],"affected":[43,167],"from":[44],"epilepsy":[45,55,71,202],"live":[46],"less":[48],"developed":[49],"developing":[51],"countries.":[52],"Diagnosis":[53],"at":[56],"early":[57],"stages":[58],"quite":[60],"useful":[61,89],"better":[63],"treatment":[64],"patients.":[66],"Normal":[67],"method":[68,86],"diagnosing":[70],"admit":[74],"the":[75,130,234],"into":[77],"hospital":[78],"and":[79,143,182,242],"by":[80,107,159],"viewing":[81,93],"EEG":[83,95,180,235],"recordings.":[84],"This":[85],"not":[88],"this":[91,212],"include":[92,124],"signals":[96],"many":[98],"hours.":[99],"In":[100,211],"our":[101,175],"paper,":[102],"we":[103,110,162,197],"propose":[104],"an":[105,157],"algorithm":[106,158,176],"using":[108,160],"are":[111,118,198],"able":[112,199],"predict":[114,164,201],"epileptic":[115],"seizure.":[116,153,229],"There":[117],"three":[119],"states":[120],"seizure":[122,140,165],"that":[123,187,196,247],"pre-ictal":[125,170,189],"state":[126,137,149,241],"before":[129,207],"start":[131,223],"seizure,":[133],"another":[134],"ictal":[136,240],"during":[138,239],"happening":[142],"there":[144,214],"also":[146,232],"post-ictal":[148],"after":[152],"We":[154,172,230],"have":[155,173,231],"proposed":[156],"can":[163],"i.e;":[169],"state.":[171],"applied":[174],"on":[177,205],"publically":[178],"available":[179],"dataset":[181],"it":[183,208,243],"has":[184,244],"been":[185,245],"observed":[186,246],"average":[188,206],"time":[190,218],"34":[192,203],"minutes.":[193],"means":[195],"minutes":[204],"actually":[209],"starts.":[210],"way,":[213],"sufficient":[217],"medical":[220],"specialists":[221],"medication":[224],"order":[226],"avoid":[228],"classified":[233],"data":[236],"patients":[238],"true":[248],"positive":[249],"rate":[250],"(TPR)":[251],"88.90%.":[253]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3}],"updated_date":"2026-05-14T08:36:36.166977","created_date":"2025-10-10T00:00:00"}
