{"id":"https://openalex.org/W2915419533","doi":"https://doi.org/10.1109/glocom.2018.8647660","title":"Patient-Aware EEG-Based Feature and Classifier Selection for e-Health Epileptic Seizure Prediction","display_name":"Patient-Aware EEG-Based Feature and Classifier Selection for e-Health Epileptic Seizure Prediction","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2915419533","doi":"https://doi.org/10.1109/glocom.2018.8647660","mag":"2915419533"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2018.8647660","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2018.8647660","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Communications Conference (GLOBECOM)","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/A5062068044","display_name":"Mohammad H. Nassralla","orcid":"https://orcid.org/0000-0002-3922-5894"},"institutions":[{"id":"https://openalex.org/I98635879","display_name":"American University of Beirut","ror":"https://ror.org/04pznsd21","country_code":"LB","type":"education","lineage":["https://openalex.org/I98635879"]}],"countries":["LB"],"is_corresponding":true,"raw_author_name":"Mohammad Nassralla","raw_affiliation_strings":["Department of Electrical and Computer Engineering, American University of Beirut, Lebanon"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, American University of Beirut, Lebanon","institution_ids":["https://openalex.org/I98635879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048279335","display_name":"Mortada Haidar","orcid":null},"institutions":[{"id":"https://openalex.org/I98635879","display_name":"American University of Beirut","ror":"https://ror.org/04pznsd21","country_code":"LB","type":"education","lineage":["https://openalex.org/I98635879"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Mortada Haidar","raw_affiliation_strings":["Department of Electrical and Computer Engineering, American University of Beirut, Lebanon"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, American University of Beirut, Lebanon","institution_ids":["https://openalex.org/I98635879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046912747","display_name":"Hussein Alawieh","orcid":"https://orcid.org/0000-0002-2888-4958"},"institutions":[{"id":"https://openalex.org/I98635879","display_name":"American University of Beirut","ror":"https://ror.org/04pznsd21","country_code":"LB","type":"education","lineage":["https://openalex.org/I98635879"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Hussein Alawieh","raw_affiliation_strings":["Department of Electrical and Computer Engineering, American University of Beirut, Lebanon"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, American University of Beirut, Lebanon","institution_ids":["https://openalex.org/I98635879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011038780","display_name":"Ahmad M. El\u2010Hajj","orcid":"https://orcid.org/0000-0002-5434-3821"},"institutions":[{"id":"https://openalex.org/I36314861","display_name":"Beirut Arab University","ror":"https://ror.org/02jya5567","country_code":"LB","type":"education","lineage":["https://openalex.org/I36314861"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Ahmad El Hajj","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Beirut Arab University, Lebanon"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Beirut Arab University, Lebanon","institution_ids":["https://openalex.org/I36314861"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010567470","display_name":"Zaher Dawy","orcid":"https://orcid.org/0000-0002-5554-6380"},"institutions":[{"id":"https://openalex.org/I98635879","display_name":"American University of Beirut","ror":"https://ror.org/04pznsd21","country_code":"LB","type":"education","lineage":["https://openalex.org/I98635879"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Zaher Dawy","raw_affiliation_strings":["Department of Electrical and Computer Engineering, American University of Beirut, Lebanon"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, American University of Beirut, Lebanon","institution_ids":["https://openalex.org/I98635879"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5062068044"],"corresponding_institution_ids":["https://openalex.org/I98635879"],"apc_list":null,"apc_paid":null,"fwci":1.111,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.76731372,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9879000186920166,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7683806419372559},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6639383435249329},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.6505199670791626},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5759139060974121},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5676602125167847},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.5652284026145935},{"id":"https://openalex.org/keywords/epileptic-seizure","display_name":"Epileptic seizure","score":0.5639355182647705},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5349876284599304},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.5250420570373535},{"id":"https://openalex.org/keywords/alarm","display_name":"ALARM","score":0.5206707715988159},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5093783140182495},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.472115159034729},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4021231532096863},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11330297589302063},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09113961458206177}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7683806419372559},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6639383435249329},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.6505199670791626},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5759139060974121},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5676602125167847},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.5652284026145935},{"id":"https://openalex.org/C2779334592","wikidata":"https://www.wikidata.org/wiki/Q6279182","display_name":"Epileptic seizure","level":3,"score":0.5639355182647705},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5349876284599304},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.5250420570373535},{"id":"https://openalex.org/C2779119184","wikidata":"https://www.wikidata.org/wiki/Q294350","display_name":"ALARM","level":2,"score":0.5206707715988159},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5093783140182495},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.472115159034729},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4021231532096863},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11330297589302063},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09113961458206177},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/glocom.2018.8647660","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2018.8647660","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1566689562","https://openalex.org/W1616547736","https://openalex.org/W1930624869","https://openalex.org/W1970121110","https://openalex.org/W2014713003","https://openalex.org/W2036906106","https://openalex.org/W2041781055","https://openalex.org/W2069115302","https://openalex.org/W2072043637","https://openalex.org/W2080966422","https://openalex.org/W2084196212","https://openalex.org/W2087151117","https://openalex.org/W2106524649","https://openalex.org/W2113894235","https://openalex.org/W2114537326","https://openalex.org/W2123200371","https://openalex.org/W2158093098","https://openalex.org/W2163507348","https://openalex.org/W2246329527","https://openalex.org/W2337811998","https://openalex.org/W2342441196","https://openalex.org/W2542065864","https://openalex.org/W6640462745"],"related_works":["https://openalex.org/W2731305060","https://openalex.org/W2372003537","https://openalex.org/W2732807254","https://openalex.org/W1983393909","https://openalex.org/W2040150569","https://openalex.org/W4379535633","https://openalex.org/W2468095590","https://openalex.org/W2132174924","https://openalex.org/W1911540634","https://openalex.org/W2013909972"],"abstract_inverted_index":{"With":[0],"the":[1,8,15,33,41,52,62,93,98,106,121,136,157],"advent":[2],"of":[3,12,18,35,43,55,64,135],"wireless":[4],"EEG":[5,84],"headsets":[6],"and":[7,30,88,96,146,155],"improved":[9],"computational":[10],"capabilities":[11],"mobile":[13],"devices,":[14],"ubiquitous":[16],"monitoring":[17],"patients":[19],"suffering":[20],"from":[21,28,120],"epilepsy":[22],"has":[23],"recently":[24],"gained":[25],"notable":[26],"interest":[27],"research":[29],"industry":[31],"under":[32],"umbrella":[34],"emerging":[36],"e-health":[37],"systems.":[38],"Among":[39],"others,":[40],"problem":[42],"seizure":[44,67,76],"prediction":[45,77,94,112],"plays":[46],"a":[47,74],"central":[48],"role":[49],"in":[50,150],"reducing":[51],"adverse":[53],"effects":[54],"epileptic":[56,66],"seizures":[57],"by":[58],"trying":[59],"to":[60,91,110,142,152],"foresee":[61],"occurrence":[63],"an":[65,81],"before":[68],"its":[69,140],"onset.":[70],"This":[71],"paper":[72],"presents":[73],"patient-aware":[75],"approach":[78,108,138],"which":[79],"combines":[80],"optimized":[82,147],"spatio-temporal":[83],"feature":[85],"extraction":[86],"algorithm":[87],"classifier":[89],"selection":[90],"maximize":[92],"accuracy":[95,125],"reduce":[97],"false":[99,158],"alarm":[100,159],"rate.":[101,160],"Experimental":[102],"results":[103,113],"demonstrate":[104],"that":[105],"proposed":[107,137],"leads":[109],"promising":[111],"when":[114],"tested":[115],"on":[116],"real":[117],"clinical":[118],"data":[119],"Freiburg":[122],"database,":[123],"with":[124],"exceeding":[126],"90%":[127],"for":[128],"most":[129],"subjects.":[130],"The":[131],"key":[132],"differentiating":[133],"aspect":[134],"is":[139],"flexibility":[141],"be":[143],"efficiently":[144],"fine-tuned":[145],"per":[148],"subject":[149],"order":[151],"enhance":[153],"sensitivity":[154],"minimize":[156]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}