{"id":"https://openalex.org/W2918516426","doi":"https://doi.org/10.1109/acssc.2018.8645301","title":"A deep Learning Scheme for Automatic Seizure Detection from Long-Term Scalp EEG","display_name":"A deep Learning Scheme for Automatic Seizure Detection from Long-Term Scalp EEG","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2918516426","doi":"https://doi.org/10.1109/acssc.2018.8645301","mag":"2918516426"},"language":"en","primary_location":{"id":"doi:10.1109/acssc.2018.8645301","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2018.8645301","pdf_url":null,"source":{"id":"https://openalex.org/S4363608623","display_name":"2018 52nd Asilomar Conference on Signals, Systems, and Computers","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":"2018 52nd Asilomar Conference on Signals, Systems, and Computers","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/A5081952940","display_name":"Rajamanickam Yuvaraj","orcid":"https://orcid.org/0000-0003-4526-0749"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Rajamanickam Yuvaraj","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064175550","display_name":"John Thomas","orcid":"https://orcid.org/0000-0003-0144-3746"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"John Thomas","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073744676","display_name":"Tilmann Kluge","orcid":"https://orcid.org/0000-0001-7627-5156"},"institutions":[{"id":"https://openalex.org/I132118926","display_name":"Austrian Institute of Technology","ror":"https://ror.org/04knbh022","country_code":"AT","type":"facility","lineage":["https://openalex.org/I132118926"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Tilmann Kluge","raw_affiliation_strings":["Center for Health and Bioresources, Austrian Institute of Technology (AIT), Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Center for Health and Bioresources, Austrian Institute of Technology (AIT), Vienna, Austria","institution_ids":["https://openalex.org/I132118926"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082613025","display_name":"Justin Dauwels","orcid":"https://orcid.org/0000-0002-4390-1568"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Justin Dauwels","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5081952940"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":4.6607,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.95100865,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"368","last_page":"372"},"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":0.9952999949455261,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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/electroencephalography","display_name":"Electroencephalography","score":0.794877827167511},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.748551070690155},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7232067584991455},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7004789710044861},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6818312406539917},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.648236095905304},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5573533773422241},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5343424677848816},{"id":"https://openalex.org/keywords/scalp","display_name":"Scalp","score":0.4959801137447357},{"id":"https://openalex.org/keywords/epileptic-seizure","display_name":"Epileptic seizure","score":0.47709399461746216},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4694874882698059},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.17207032442092896},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.156252920627594},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12951907515525818}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.794877827167511},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.748551070690155},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7232067584991455},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7004789710044861},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6818312406539917},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.648236095905304},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5573533773422241},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5343424677848816},{"id":"https://openalex.org/C2778515351","wikidata":"https://www.wikidata.org/wiki/Q9622","display_name":"Scalp","level":2,"score":0.4959801137447357},{"id":"https://openalex.org/C2779334592","wikidata":"https://www.wikidata.org/wiki/Q6279182","display_name":"Epileptic seizure","level":3,"score":0.47709399461746216},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4694874882698059},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.17207032442092896},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.156252920627594},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12951907515525818},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acssc.2018.8645301","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2018.8645301","pdf_url":null,"source":{"id":"https://openalex.org/S4363608623","display_name":"2018 52nd Asilomar Conference on Signals, Systems, and Computers","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":"2018 52nd Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1483212964","https://openalex.org/W1556131344","https://openalex.org/W1964875525","https://openalex.org/W1967277574","https://openalex.org/W2010215165","https://openalex.org/W2059016985","https://openalex.org/W2073135166","https://openalex.org/W2098844365","https://openalex.org/W2117731089","https://openalex.org/W2133082272","https://openalex.org/W2150590430","https://openalex.org/W2155415405","https://openalex.org/W2169100533","https://openalex.org/W2176950688","https://openalex.org/W2220285932","https://openalex.org/W2490215499","https://openalex.org/W2542997720","https://openalex.org/W2551178936","https://openalex.org/W2608948620","https://openalex.org/W2619802472","https://openalex.org/W2772472921","https://openalex.org/W2797694788","https://openalex.org/W6723019446"],"related_works":["https://openalex.org/W2126108552","https://openalex.org/W2008167394","https://openalex.org/W36837324","https://openalex.org/W2588429911","https://openalex.org/W2071974719","https://openalex.org/W3037660442","https://openalex.org/W1971410108","https://openalex.org/W2023557687","https://openalex.org/W2093730284","https://openalex.org/W2166624857"],"abstract_inverted_index":{"Epilepsy":[0],"is":[1,7,17,31,51],"a":[2,84],"chronic":[3],"brain":[4,12],"disorder":[5],"that":[6],"expressed":[8],"by":[9],"seizures.":[10],"Monitoring":[11],"activity":[13],"via":[14],"electroencephalogram":[15],"(EEG)":[16],"an":[18,144,149,158],"established":[19],"method":[20,85],"for":[21,25,100],"epilepsy":[22,27],"diagnosis":[23],"and":[24,54,157],"monitoring":[26],"patients.":[28,124],"Yet,":[29],"it":[30],"not":[32],"favorable":[33],"to":[34,39,94],"visually":[35],"inspect":[36],"EEG":[37,116],"signals":[38],"diagnose":[40],"epilepsy,":[41],"especially":[42],"in":[43,73],"the":[44,61,88],"case":[45],"of":[46,63,114,121,128,147,154,162],"long-term":[47],"recordings.":[48],"This":[49],"process":[50],"time":[52],"consuming":[53],"tedious":[55],"error-prone":[56],"exercise.":[57],"In":[58,79],"recent":[59],"years,":[60],"sub-field":[62],"machine":[64],"learning":[65,68,98],"called":[66],"deep":[67,89],"has":[69],"achieved":[70,143],"remarkable":[71],"success":[72],"various":[74],"artificial":[75],"intelligence":[76],"research":[77],"areas.":[78],"this":[80],"paper,":[81],"we":[82],"present":[83],"based":[86],"on":[87,110],"convolutional":[90],"neural":[91],"networks":[92],"(CNNs)":[93],"perform":[95],"unsupervised":[96],"feature":[97],"framework":[99],"automated":[101],"seizure":[102,140],"onset":[103],"detection.":[104],"The":[105,125,136],"proposed":[106],"system":[107],"was":[108],"evaluated":[109],"526":[111],"hours":[112],"duration":[113],"scalp":[115],"data,":[117],"including":[118],"181":[119],"seizures":[120],"23":[122],"pediatric":[123],"different":[126],"parameters":[127],"CNNs":[129],"were":[130],"optimized":[131],"through":[132],"4-fold":[133],"nested":[134],"cross-validation.":[135],"resulting":[137],"generalized":[138],"CNN":[139],"detection":[141,152,160],"model":[142],"average":[145,150,159],"sensitivity":[146],"86.29%,":[148],"false":[151],"rate":[153],"0.74":[155],"h-1":[156],"latency":[161],"2.1":[163],"sec.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
