{"id":"https://openalex.org/W4389221609","doi":"https://doi.org/10.3233/faia230846","title":"Neonatal Seizure Detection Combining Sparse Representation and Deep Learning","display_name":"Neonatal Seizure Detection Combining Sparse Representation and Deep Learning","publication_year":2023,"publication_date":"2023-11-30","ids":{"openalex":"https://openalex.org/W4389221609","doi":"https://doi.org/10.3233/faia230846"},"language":"en","primary_location":{"id":"doi:10.3233/faia230846","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia230846","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230846","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230846","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102891594","display_name":"Guangmiao Gao","orcid":"https://orcid.org/0009-0006-2703-1263"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangmiao Gao","raw_affiliation_strings":["School of Physics and Electronics, Shandong Normal University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physics and Electronics, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000364215","display_name":"Jie Liu","orcid":"https://orcid.org/0000-0002-2894-8923"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Liu","raw_affiliation_strings":["Department of Pediatric Intensive Care Unit, Shandong Provincial Maternal and Child Health Care Hospital Affiliated to Qingdao University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Pediatric Intensive Care Unit, Shandong Provincial Maternal and Child Health Care Hospital Affiliated to Qingdao University, Jinan, China","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019180907","display_name":"Qi Yuan","orcid":"https://orcid.org/0000-0002-1342-3374"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Yuan","raw_affiliation_strings":["School of Physics and Electronics, Shandong Normal University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physics and Electronics, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056899169","display_name":"Weiwei Nie","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163399","display_name":"Shandong First Medical University","ror":"https://ror.org/05jb9pq57","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163399"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weiwei Nie","raw_affiliation_strings":["The First Affiliated Hospital of Shandong First Medical University, Shandong First Medical University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The First Affiliated Hospital of Shandong First Medical University, Shandong First Medical University, Jinan, China","institution_ids":["https://openalex.org/I4210163399"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5056899169"],"corresponding_institution_ids":["https://openalex.org/I4210163399"],"apc_list":null,"apc_paid":null,"fwci":1.151,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.8214855,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9983999729156494,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9879000186920166,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6293909549713135},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6228203177452087},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6205537915229797},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5941104888916016},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5296551585197449},{"id":"https://openalex.org/keywords/neonatal-intensive-care-unit","display_name":"Neonatal intensive care unit","score":0.49674850702285767},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4960821568965912},{"id":"https://openalex.org/keywords/reflex-epilepsy","display_name":"Reflex Epilepsy","score":0.4828982353210449},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.48213550448417664},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4653758406639099},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4163694679737091},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34619003534317017},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.21142905950546265},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2080506980419159},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.11972907185554504},{"id":"https://openalex.org/keywords/pediatrics","display_name":"Pediatrics","score":0.08961668610572815},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06206005811691284}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6293909549713135},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6228203177452087},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6205537915229797},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5941104888916016},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5296551585197449},{"id":"https://openalex.org/C2777091541","wikidata":"https://www.wikidata.org/wiki/Q9008292","display_name":"Neonatal intensive care unit","level":2,"score":0.49674850702285767},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4960821568965912},{"id":"https://openalex.org/C2910767764","wikidata":"https://www.wikidata.org/wiki/Q2895354","display_name":"Reflex Epilepsy","level":3,"score":0.4828982353210449},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.48213550448417664},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4653758406639099},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4163694679737091},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34619003534317017},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.21142905950546265},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2080506980419159},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.11972907185554504},{"id":"https://openalex.org/C187212893","wikidata":"https://www.wikidata.org/wiki/Q123028","display_name":"Pediatrics","level":1,"score":0.08961668610572815},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06206005811691284},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia230846","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia230846","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230846","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia230846","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia230846","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230846","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389221609.pdf","grobid_xml":"https://content.openalex.org/works/W4389221609.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W2068476218","https://openalex.org/W2918225995","https://openalex.org/W2990430870","https://openalex.org/W3021205377","https://openalex.org/W3093630321","https://openalex.org/W3156889579","https://openalex.org/W4206735071","https://openalex.org/W4220962505","https://openalex.org/W4281781592","https://openalex.org/W4320402145","https://openalex.org/W4327559103","https://openalex.org/W4389221609"],"related_works":["https://openalex.org/W2378788637","https://openalex.org/W2773633178","https://openalex.org/W2395385109","https://openalex.org/W2080101436","https://openalex.org/W4388090985","https://openalex.org/W2922348724","https://openalex.org/W2356350882","https://openalex.org/W2414599743","https://openalex.org/W2773760734","https://openalex.org/W4252167161"],"abstract_inverted_index":{"Neonatal":[0,12],"seizures":[1,54],"are":[2,65],"a":[3,40,92,121],"common":[4],"emergency":[5],"in":[6,91,120],"neonatal":[7,53],"intensive":[8],"care":[9],"unit":[10],"(NICU).":[11],"epilepsy":[13],"detection":[14,51,130],"is":[15,30,55,61,104],"generally":[16],"the":[17,20,58,63,70,80,112],"doctor":[18],"through":[19],"naked":[21],"eye":[22],"reading":[23],"electroencephalogram":[24],"(EEG)":[25],"to":[26,34,69,114],"judge,":[27],"this":[28,38],"way":[29],"more":[31],"subjective":[32],"easy":[33],"produce":[35],"differences.":[36],"In":[37],"paper,":[39],"novel":[41],"algorithm":[42,81],"combining":[43],"sparse":[44],"representation":[45],"and":[46,67,87,117,126,133],"deep":[47],"learning":[48],"for":[49],"automatic":[50],"of":[52,79,96,128],"proposed.":[56],"After":[57],"EEG":[59,101],"data":[60],"preprocessed,":[62],"features":[64],"extracted":[66],"sent":[68],"Deep":[71],"Sparse":[72],"Representation":[73],"Classification":[74],"(DSRC)":[75],"network.":[76],"The":[77,124],"performance":[78,109],"was":[82],"evaluated":[83],"by":[84],"sensitivity":[85,125],"(sen)":[86],"specificity":[88,127],"(spe)":[89],"values":[90],"publicly":[93],"available":[94],"dataset":[95],"36":[97],"neonates":[98],"with":[99],"continuous":[100],"signals.":[102],"Testing":[103],"done":[105],"using":[106],"cross-validation,":[107],"so":[108],"accurately":[110],"represents":[111],"ability":[113],"classify":[115],"architectures":[116],"test":[118],"generalizations":[119],"clinical":[122],"setting.":[123],"cross":[129],"were":[131],"89.33":[132],"90.2,":[134],"respectively.":[135]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
