{"id":"https://openalex.org/W3034623716","doi":"https://doi.org/10.1109/embc44109.2020.9237753","title":"Deep Convolutional Neural Networks for the Accurate Identification of High-Amplitude Stereotypic Epileptiform Seizures in the Post-Hypoxic-Ischemic EEG of Preterm Fetal Sheep","display_name":"Deep Convolutional Neural Networks for the Accurate Identification of High-Amplitude Stereotypic Epileptiform Seizures in the Post-Hypoxic-Ischemic EEG of Preterm Fetal Sheep","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3034623716","doi":"https://doi.org/10.1109/embc44109.2020.9237753","mag":"3034623716","pmid":"https://pubmed.ncbi.nlm.nih.gov/33136538"},"language":"en","primary_location":{"id":"doi:10.1109/embc44109.2020.9237753","doi":"https://doi.org/10.1109/embc44109.2020.9237753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc44109.2020.9237753","pdf_url":null,"source":{"id":"https://openalex.org/S4363608786","display_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","issn_l":"2375-7477","issn":["2375-7477"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["doyens","jufo-1","ki-jl-1","medline","russia-white-list-3"],"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":"2020 42nd Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref","pubmed"],"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/A5025285859","display_name":"Hamid Abbasi","orcid":"https://orcid.org/0000-0003-1136-3280","observed_orcids":["https://orcid.org/0000-0003-1136-3280"]},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Hamid Abbasi","raw_affiliation_strings":["Departments of Engineering Science and Physiology, University of Auckland, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departments of Engineering Science and Physiology, University of Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047041488","display_name":"Alistair Jan Gunn","orcid":"https://orcid.org/0000-0003-0656-7035","observed_orcids":["https://orcid.org/0000-0003-0656-7035"]},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Alistair J. Gunn","raw_affiliation_strings":["Department of Physiology, Faculty of Medical and Health Sciences, University of Auckland, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Physiology, Faculty of Medical and Health Sciences, University of Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102961238","display_name":"Charles Peter Unsworth","orcid":"https://orcid.org/0000-0002-9153-5232","observed_orcids":["https://orcid.org/0000-0002-9153-5232"]},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Charles P. Unsworth","raw_affiliation_strings":["Department of Engineering Science, University of Auckland, Auckland, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering Science, University of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039019537","display_name":"Laura Bennet","orcid":"https://orcid.org/0000-0002-4336-7596","observed_orcids":["https://orcid.org/0000-0002-4336-7596"]},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Laura Bennet","raw_affiliation_strings":["head of Department of Physiology, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"head of Department of Physiology, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154130895"],"apc_list":null,"apc_paid":null,"fwci":1.7759,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.83341824,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.6079000234603882,"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":0.6079000234603882,"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/T11184","display_name":"Neonatal and fetal brain pathology","score":0.3513000011444092,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"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/T10094","display_name":"Epilepsy research and treatment","score":0.014100000262260437,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Clinical Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/neonatal-seizures","display_name":"neonatal seizures","score":0.753000020980835},{"id":"https://openalex.org/keywords/hypoxia-ischemia","display_name":"hypoxia-ischemia","score":0.8379999995231628},{"id":"https://openalex.org/keywords/eeg-seizure-detection","display_name":"EEG seizure detection","score":0.7089999914169312},{"id":"https://openalex.org/keywords/deep-convolutional-neural-networks","display_name":"deep convolutional neural networks","score":0.9139999747276306},{"id":"https://openalex.org/keywords/preterm-brain-injury","display_name":"preterm brain injury","score":0.47200000286102295},{"id":"https://openalex.org/keywords/epilepsy-risk","display_name":"epilepsy risk","score":0.7540000081062317}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7740277051925659},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6629518270492554},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.5724417567253113},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.4317273795604706},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3897080421447754},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3510059714317322},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3331027030944824},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.31301581859588623}],"mesh":[{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004827","descriptor_name":"Epilepsy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005333","descriptor_name":"Fetus","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007231","descriptor_name":"Infant, Newborn","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007234","descriptor_name":"Infant, Premature","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011247","descriptor_name":"Pregnancy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012640","descriptor_name":"Seizures","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D012756","descriptor_name":"Sheep","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017143","descriptor_name":"Fuzzy Logic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1109/embc44109.2020.9237753","doi":"https://doi.org/10.1109/embc44109.2020.9237753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc44109.2020.9237753","pdf_url":null,"source":{"id":"https://openalex.org/S4363608786","display_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","issn_l":"2375-7477","issn":["2375-7477"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["doyens","jufo-1","ki-jl-1","medline","russia-white-list-3"],"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":"2020 42nd Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:33136538","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33136538","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":"Journal Article"},{"id":"pmh:oai:researchspace.auckland.ac.nz:2292/51502","doi":null,"is_oa":false,"landing_page_url":"https://hdl.handle.net/2292/51502","pdf_url":null,"source":{"id":"https://openalex.org/S7407055463","display_name":"ResearchSpace (University of Auckland)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I154130895","host_organization_name":"University of Auckland","host_organization_lineage":["https://openalex.org/I154130895"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Item"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9391000270843506,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320776","display_name":"Auckland Medical Research Foundation","ror":"https://ror.org/05wtegv53"},{"id":"https://openalex.org/F4320334749","display_name":"Health Research Council of New Zealand","ror":"https://ror.org/00zbf3d93"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1563556120","https://openalex.org/W1739218166","https://openalex.org/W1972696972","https://openalex.org/W1981896076","https://openalex.org/W2043338536","https://openalex.org/W2072691177","https://openalex.org/W2293079453","https://openalex.org/W2331987432","https://openalex.org/W2513199940","https://openalex.org/W2532296161","https://openalex.org/W2605818023","https://openalex.org/W2606020647","https://openalex.org/W2792850039","https://openalex.org/W2795691199","https://openalex.org/W2889179890","https://openalex.org/W2889555677","https://openalex.org/W2899241811","https://openalex.org/W2925169730","https://openalex.org/W2976723733","https://openalex.org/W2979520785","https://openalex.org/W2990430870","https://openalex.org/W2996376947","https://openalex.org/W3034215237","https://openalex.org/W3034273631","https://openalex.org/W3035365065"],"related_works":["https://openalex.org/W4389538476","https://openalex.org/W4392168835","https://openalex.org/W3034273631","https://openalex.org/W4405488905","https://openalex.org/W4401662022","https://openalex.org/W3034215237","https://openalex.org/W4396596684","https://openalex.org/W3035365065","https://openalex.org/W2532296161","https://openalex.org/W7037229926"],"abstract_inverted_index":{"Neonatal":[0],"seizures":[1,27,55,119,253],"after":[2,9,42],"birth":[3],"may":[4],"contribute":[5],"to":[6,188,214,262],"brain":[7,15],"injury":[8],"an":[10,43],"hypoxic-ischemic":[11],"(HI)":[12],"event,":[13],"impaired":[14],"development":[16],"and":[17,60,62,112,142,153,194,207,230],"a":[18,79,168,173],"later":[19],"life":[20],"risk":[21],"for":[22,139,164,247],"epilepsy.":[23],"Despite":[24],"neural":[25,177],"immaturity,":[26],"can":[28],"also":[29],"occur":[30],"in":[31,89,191,198,227,232,254,268],"preterm":[32,54,81,200,257],"infants.":[33],"However,":[34],"surprisingly":[35],"little":[36],"is":[37],"known":[38],"about":[39],"their":[40],"evolution":[41],"HI":[44,86,251],"insult":[45],"or":[46],"patterns":[47,149],"of":[48,53,65,71,85,92,99,108,114,125,144,242,250],"expression.":[49],"An":[50],"improved":[51,69],"understanding":[52],"will":[56],"help":[57],"facilitate":[58],"diagnosis":[59],"prognosis":[61],"the":[63,97,103,122,145,157,165,184,192,228,233,239,243,255,263],"implementation":[64],"treatments.":[66],"This":[67],"requires":[68],"detection":[70],"seizures,":[72],"including":[73,96],"electrographic":[74],"seizures.":[75,94],"We":[76,131],"have":[77,132],"established":[78],"stable":[80],"fetal":[82],"sheep":[83],"model":[84],"that":[87,171],"results":[88],"different":[90],"types":[91],"post-HI":[93,217],"These":[95],"expression":[98],"epileptiform":[100],"transients":[101],"during":[102,121,156,212],"latent":[104,158],"phase":[105,124],"(0-6":[106],"h)":[107],"cerebral":[109,126],"energy":[110,127],"recovery,":[111],"bursts":[113],"high":[115],"amplitude":[116],"stereotypic":[117],"evolving":[118,146],"(HAS)":[120],"secondary":[123],"failure":[128],"(\u223c6-72":[129],"h).":[130],"previously":[133],"developed":[134],"successful":[135],"automated":[136],"machine-learning":[137],"strategies":[138],"accurate":[140,248],"identification":[141,249],"quantification":[143],"micro-scale":[147],"EEG":[148,186,210],"(e.g.":[150],"gamma":[151],"spikes":[152],"sharp":[154],"waves),":[155],"phase.":[159],"The":[160,203,219],"current":[161,264],"paper":[162],"introduces,":[163],"first":[166],"time,":[167],"real-time":[169],"approach":[170],"employs":[172],"15-layer":[174],"deep":[175],"convolutional":[176],"network":[178],"(CNN)":[179],"classifier,":[180],"directly":[181],"fed":[182],"with":[183,224],"raw":[185],"time-series,":[187],"identify":[189],"HAS":[190,223],"1024Hz":[193,229],"256Hz":[195,234,265],"down-sampled":[196],"data":[197],"our":[199],"fetuses":[201],"post-HI.":[202],"classifier":[204,220,246],"was":[205],"trained":[206],"tested":[208],"using":[209],"segments":[211],"\u223c6":[213],"48":[215],"hours":[216],"recordings.":[218],"accurately":[221],"identified":[222],"98.52%":[225],"accuracy":[226],"97.78%":[231],"data.":[235],"Clinical":[236],"relevance-Results":[237],"highlight":[238],"promising":[240],"ability":[241],"proposed":[244],"CNN":[245],"related":[252],"neonatal":[256],"brain,":[258],"if":[259],"further":[260],"applied":[261],"clinical":[266],"recordings,":[267],"real-world.":[269]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2026-10-31T12:09:11.096373","created_date":"2020-06-19T00:00:00"}
