{"id":"https://openalex.org/W2320466601","doi":"https://doi.org/10.1007/s11517-016-1468-y","title":"Optimal training dataset composition for SVM-based, age-independent, automated epileptic seizure detection","display_name":"Optimal training dataset composition for SVM-based, age-independent, automated epileptic seizure detection","publication_year":2016,"publication_date":"2016-03-31","ids":{"openalex":"https://openalex.org/W2320466601","doi":"https://doi.org/10.1007/s11517-016-1468-y","mag":"2320466601","pmid":"https://pubmed.ncbi.nlm.nih.gov/27032931"},"language":"en","primary_location":{"id":"doi:10.1007/s11517-016-1468-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11517-016-1468-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11517-016-1468-y.pdf","source":{"id":"https://openalex.org/S46300952","display_name":"Medical & Biological Engineering & Computing","issn_l":"0140-0118","issn":["0140-0118","1741-0444"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical &amp; Biological Engineering &amp; Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11517-016-1468-y.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028209500","display_name":"J.G. Bogaarts","orcid":null},"institutions":[{"id":"https://openalex.org/I2800191616","display_name":"Maastricht University Medical Centre","ror":"https://ror.org/02d9ce178","country_code":"NL","type":"funder","lineage":["https://openalex.org/I2800191616"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"J. G. Bogaarts","raw_affiliation_strings":["Department of Clinical Neurophysiology, AZM Maastricht, P. Debyelaan 25, 6229 HX, Maastricht, Netherlands. guy.bogaarts@mumc.nl","Department of Clinical Neurophysiology, AZM Maastricht, P. Debyelaan 25, 6229 HX, Maastricht, Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Clinical Neurophysiology, AZM Maastricht, P. Debyelaan 25, 6229 HX, Maastricht, Netherlands. guy.bogaarts@mumc.nl","institution_ids":["https://openalex.org/I2800191616"]},{"raw_affiliation_string":"Department of Clinical Neurophysiology, AZM Maastricht, P. Debyelaan 25, 6229 HX, Maastricht, Netherlands","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068782707","display_name":"Erik D. Gommer","orcid":"https://orcid.org/0000-0003-1054-2682"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"E. D. Gommer","raw_affiliation_strings":["Department of Clinical Neurophysiology, AZM Maastricht, P. Debyelaan 25, 6229 HX, Maastricht, Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Clinical Neurophysiology, AZM Maastricht, P. Debyelaan 25, 6229 HX, Maastricht, Netherlands","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039884011","display_name":"Danny Hilkman","orcid":"https://orcid.org/0000-0002-7687-9037"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D. M. W. Hilkman","raw_affiliation_strings":["Department of Clinical Neurophysiology, AZM Maastricht, P. Debyelaan 25, 6229 HX, Maastricht, Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Clinical Neurophysiology, AZM Maastricht, P. Debyelaan 25, 6229 HX, Maastricht, Netherlands","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108500534","display_name":"Vivianne H.J.M. van Kranen\u2010Mastenbroek","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"V. H. J. M. van Kranen-Mastenbroek","raw_affiliation_strings":["Department of Clinical Neurophysiology, AZM Maastricht, P. Debyelaan 25, 6229 HX, Maastricht, Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Clinical Neurophysiology, AZM Maastricht, P. Debyelaan 25, 6229 HX, Maastricht, Netherlands","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111931905","display_name":"J. P. H. Reulen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J. P. H. Reulen","raw_affiliation_strings":["Department of Clinical Neurophysiology, AZM Maastricht, P. Debyelaan 25, 6229 HX, Maastricht, Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Clinical Neurophysiology, AZM Maastricht, P. Debyelaan 25, 6229 HX, Maastricht, Netherlands","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5028209500"],"corresponding_institution_ids":["https://openalex.org/I2800191616"],"apc_list":{"value":2890,"currency":"EUR","value_usd":3690},"apc_paid":{"value":2890,"currency":"EUR","value_usd":3690},"fwci":2.165,"has_fulltext":true,"cited_by_count":33,"citation_normalized_percentile":{"value":0.86501971,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"54","issue":"8","first_page":"1285","last_page":"1293"},"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/T10094","display_name":"Epilepsy research and treatment","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental 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/T11184","display_name":"Neonatal and fetal brain pathology","score":0.9994000196456909,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7418460845947266},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6825233101844788},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6657260060310364},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5923974514007568},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.571753740310669},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5580334663391113},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.538163423538208},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.48684853315353394},{"id":"https://openalex.org/keywords/neonatal-seizure","display_name":"Neonatal seizure","score":0.4324132800102234},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.42006051540374756},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4104848802089691},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40718352794647217},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3366042375564575},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.16156980395317078},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.09392726421356201}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7418460845947266},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6825233101844788},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6657260060310364},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5923974514007568},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.571753740310669},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5580334663391113},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.538163423538208},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.48684853315353394},{"id":"https://openalex.org/C2780208886","wikidata":"https://www.wikidata.org/wiki/Q18967838","display_name":"Neonatal seizure","level":3,"score":0.4324132800102234},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.42006051540374756},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4104848802089691},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40718352794647217},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3366042375564575},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.16156980395317078},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.09392726421356201},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","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":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004827","descriptor_name":"Epilepsy","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D004827","descriptor_name":"Epilepsy","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D004827","descriptor_name":"Epilepsy","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007223","descriptor_name":"Infant","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007223","descriptor_name":"Infant","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007223","descriptor_name":"Infant","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1007/s11517-016-1468-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11517-016-1468-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11517-016-1468-y.pdf","source":{"id":"https://openalex.org/S46300952","display_name":"Medical & Biological Engineering & Computing","issn_l":"0140-0118","issn":["0140-0118","1741-0444"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical &amp; Biological Engineering &amp; Computing","raw_type":"journal-article"},{"id":"pmid:27032931","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/27032931","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,"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":"Medical & biological engineering & computing","raw_type":null},{"id":"pmh:oai:cris.maastrichtuniversity.nl:openaire/5b8d253e-fe31-41d4-81ff-3a49428ae791","is_oa":true,"landing_page_url":"https://cris.maastrichtuniversity.nl/en/publications/5b8d253e-fe31-41d4-81ff-3a49428ae791","pdf_url":null,"source":{"id":"https://openalex.org/S4306402616","display_name":"Research Publications (Maastricht University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I34352273","host_organization_name":"Maastricht University","host_organization_lineage":["https://openalex.org/I34352273"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bogaarts, J G, Gommer, E D, Hilkman, D M W, van Kranen-Mastenbroek, V H J M & Reulen, J P H 2016, 'Optimal training dataset composition for SVM-based, age-independent, automated epileptic seizure detection', Medical & Biological Engineering & Computing, vol. 54, no. 8, pp. 1285-1293. https://doi.org/10.1007/s11517-016-1468-y","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:europepmc.org:3935188","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4958398","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/s11517-016-1468-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11517-016-1468-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11517-016-1468-y.pdf","source":{"id":"https://openalex.org/S46300952","display_name":"Medical & Biological Engineering & Computing","issn_l":"0140-0118","issn":["0140-0118","1741-0444"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical &amp; Biological Engineering &amp; Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2320466601.pdf","grobid_xml":"https://content.openalex.org/works/W2320466601.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W5594912","https://openalex.org/W1521843029","https://openalex.org/W1974059195","https://openalex.org/W1988841943","https://openalex.org/W1989621014","https://openalex.org/W1996684754","https://openalex.org/W1997861043","https://openalex.org/W2001701531","https://openalex.org/W2006059271","https://openalex.org/W2022437153","https://openalex.org/W2024011138","https://openalex.org/W2024437316","https://openalex.org/W2027930466","https://openalex.org/W2032070545","https://openalex.org/W2035987281","https://openalex.org/W2060161146","https://openalex.org/W2066952531","https://openalex.org/W2069498736","https://openalex.org/W2074112353","https://openalex.org/W2074973858","https://openalex.org/W2082136405","https://openalex.org/W2119269525","https://openalex.org/W2132240828","https://openalex.org/W2133019007","https://openalex.org/W2133082272","https://openalex.org/W2146892036","https://openalex.org/W2148372556","https://openalex.org/W2162020807","https://openalex.org/W2418175447","https://openalex.org/W3023786531"],"related_works":["https://openalex.org/W2730061655","https://openalex.org/W2320736787","https://openalex.org/W2345184372","https://openalex.org/W3013515612","https://openalex.org/W2136184105","https://openalex.org/W2399116914","https://openalex.org/W2041399278","https://openalex.org/W2187500075","https://openalex.org/W1991269640","https://openalex.org/W2129101332"],"abstract_inverted_index":{"Automated":[0],"seizure":[1,30,50,78,144,217,222,260,291,316,339,356],"detection":[2,125,145,292],"is":[3,121,198,293,319,334],"a":[4,86,142,186],"valuable":[5],"asset":[6],"to":[7,17,65,84,175,236,353],"health":[8],"professionals,":[9],"which":[10],"makes":[11],"adequate":[12],"treatment":[13],"possible":[14,294],"in":[15,63,72,206],"order":[16,64],"minimize":[18],"brain":[19],"damage.":[20],"Most":[21],"research":[22,39],"focuses":[23],"on":[24,60,158,227,241,251,271,279,299],"two":[25],"separate":[26],"aspects":[27],"of":[28,57,141,150,202,209,347],"automated":[29],"detection:":[31],"EEG":[32,93,98,104,114,228,242,256,273,284,300,322],"feature":[33,115,164],"computation":[34],"and":[35,102,108,166,181,211,215,247,254,282,305],"classification":[36],"methods.":[37],"Little":[38],"has":[40],"been":[41],"published":[42],"regarding":[43],"optimal":[44,68,262],"training":[45,74,296,348],"dataset":[46,69,349],"composition":[47,350],"for":[48,70,75,112,129,138,147,213,313,330,337],"patient-independent":[49],"detection.":[51,79,340,357],"This":[52,169,333],"paper":[53],"evaluates":[54],"the":[55,67,139,179,189,192,224,238,248,268,276,344],"performance":[56,187,207,263],"classifiers":[58,174],"trained":[59,157,226,240,250,270,278],"different":[61,173],"datasets":[62,81],"determine":[66],"use":[71],"classifier":[73,154,225,239,269,277,298,331],"automated,":[76],"age-independent,":[77],"Three":[80],"are":[82,127,156,328],"used":[83,329],"train":[85],"support":[87],"vector":[88],"machine":[89],"(SVM)":[90],"classifier:":[91],"(1)":[92],"from":[94,99,105,229,244,302,324],"neonatal":[95,131,180,214,221,245,253,281,304,338],"patients,":[96],"(2)":[97],"adult":[100,133,216,230,255,259,272,283,306],"patients":[101,118,148,231,246],"(3)":[103],"both":[106,178,237,252,280,303],"neonates":[107],"adults.":[109],"To":[110],"correct":[111],"baseline":[113],"differences":[116],"among":[117],"feature,":[119],"normalization":[120,165],"essential.":[122],"Usually":[123],"dedicated":[124],"systems":[126],"developed":[128],"either":[130,267],"or":[132,275],"patients.":[134,307],"Normalization":[135],"might":[136],"allow":[137],"development":[140],"single":[143],"system":[146],"irrespective":[149],"their":[151],"age.":[152],"Two":[153],"versions":[155],"all":[159],"three":[160],"datasets:":[161],"one":[162,167,297],"with":[163,351],"without.":[168],"gives":[170],"us":[171],"six":[172],"evaluate":[176],"using":[177],"adults":[182],"test":[183],"sets.":[184],"As":[185],"measure,":[188],"area":[190],"under":[191],"receiver":[193],"operating":[194],"characteristics":[195],"curve":[196],"(AUC)":[197],"used.":[199],"With":[200],"application":[201],"FBC,":[203],"it":[204,318],"resulted":[205],"values":[208],"0.90":[210],"0.93":[212],"detection,":[218,223,261,317],"respectively.":[219],"For":[220,258],"performed":[232],"significantly":[233],"worse":[234],"compared":[235],"data":[243,274,301,323],"classier":[249],"data.":[257,285],"was":[264],"achieved":[265],"by":[266,295],"Our":[286,341],"results":[287,310,342],"show":[288],"that":[289,312,321],"age-independent":[290,315,355],"Furthermore,":[308],"our":[309],"indicate":[311],"accurate":[314,354],"important":[320,336],"each":[325],"age":[326],"category":[327],"training.":[332],"particularly":[335],"underline":[343],"under-appreciated":[345],"importance":[346],"respect":[352]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
