{"id":"https://openalex.org/W1999056714","doi":"https://doi.org/10.1155/2012/629654","title":"Bayesian Assessment of Newborn Brain Maturity from Two-Channel Sleep Electroencephalograms","display_name":"Bayesian Assessment of Newborn Brain Maturity from Two-Channel Sleep Electroencephalograms","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W1999056714","doi":"https://doi.org/10.1155/2012/629654","mag":"1999056714","pmid":"https://pubmed.ncbi.nlm.nih.gov/22474536"},"language":"en","primary_location":{"id":"doi:10.1155/2012/629654","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2012/629654","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2012/629654.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/cmmm/2012/629654.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013489911","display_name":"Livija Jakaite","orcid":"https://orcid.org/0000-0002-4946-5920"},"institutions":[{"id":"https://openalex.org/I147554453","display_name":"University of Bedfordshire","ror":"https://ror.org/0400avk24","country_code":"GB","type":"education","lineage":["https://openalex.org/I147554453"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Livija Jakaite","raw_affiliation_strings":["Department of Computer Science and Technology, University of Bedfordshire, Luton LU1 3JU, UK"],"raw_orcid":"https://orcid.org/0000-0002-4946-5920","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University of Bedfordshire, Luton LU1 3JU, UK","institution_ids":["https://openalex.org/I147554453"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048277038","display_name":"Vitaly Schetinin","orcid":"https://orcid.org/0000-0003-1826-0153"},"institutions":[{"id":"https://openalex.org/I147554453","display_name":"University of Bedfordshire","ror":"https://ror.org/0400avk24","country_code":"GB","type":"education","lineage":["https://openalex.org/I147554453"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Vitaly Schetinin","raw_affiliation_strings":["Department of Computer Science and Technology, University of Bedfordshire, Luton LU1 3JU, UK"],"raw_orcid":"https://orcid.org/0000-0003-1826-0153","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University of Bedfordshire, Luton LU1 3JU, UK","institution_ids":["https://openalex.org/I147554453"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080175512","display_name":"Carsten Maple","orcid":"https://orcid.org/0000-0002-4715-212X"},"institutions":[{"id":"https://openalex.org/I147554453","display_name":"University of Bedfordshire","ror":"https://ror.org/0400avk24","country_code":"GB","type":"education","lineage":["https://openalex.org/I147554453"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Carsten Maple","raw_affiliation_strings":["Department of Computer Science and Technology, University of Bedfordshire, Luton LU1 3JU, UK"],"raw_orcid":"https://orcid.org/0000-0002-4715-212X","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University of Bedfordshire, Luton LU1 3JU, UK","institution_ids":["https://openalex.org/I147554453"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048277038"],"corresponding_institution_ids":["https://openalex.org/I147554453"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":0.0,"has_fulltext":true,"cited_by_count":34,"citation_normalized_percentile":{"value":0.08388158,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2012","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9988999962806702,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9987000226974487,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9782999753952026,"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/electroencephalography","display_name":"Electroencephalography","score":0.8140655755996704},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5969079732894897},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5749432444572449},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.539523720741272},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5338476896286011},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4663846492767334},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.44903847575187683},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.44731906056404114},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3786112070083618},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3636784553527832},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.18717575073242188}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.8140655755996704},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5969079732894897},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5749432444572449},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.539523720741272},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5338476896286011},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4663846492767334},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.44903847575187683},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.44731906056404114},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3786112070083618},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3636784553527832},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.18717575073242188},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000254","qualifier_name":"growth & development","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000254","qualifier_name":"growth & development","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000254","qualifier_name":"growth & development","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","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":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012890","descriptor_name":"Sleep","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D012890","descriptor_name":"Sleep","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D012890","descriptor_name":"Sleep","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D017286","descriptor_name":"Polysomnography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017286","descriptor_name":"Polysomnography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017286","descriptor_name":"Polysomnography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1155/2012/629654","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2012/629654","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2012/629654.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},{"id":"pmid:22474536","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/22474536","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":"Computational and mathematical methods in medicine","raw_type":null},{"id":"pmh:oai:doaj.org/article:6fad6143d2e64a9790106371a079044a","is_oa":false,"landing_page_url":"https://doaj.org/article/6fad6143d2e64a9790106371a079044a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational and Mathematical Methods in Medicine, Vol 2012 (2012)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:2326374","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3310217","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:uobrep.openrepository.com:10547/293079","is_oa":false,"landing_page_url":"http://hdl.handle.net/10547/293079","pdf_url":null,"source":{"id":"https://openalex.org/S4306400178","display_name":"University of Bedfordshire Repository (University of Bedfordshire)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I147554453","host_organization_name":"University of Bedfordshire","host_organization_lineage":["https://openalex.org/I147554453"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1155/2012/629654","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2012/629654","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2012/629654.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320313941","display_name":"Friedrich-Schiller-Universit\u00e4t Jena","ror":"https://ror.org/05qpz1x62"},{"id":"https://openalex.org/F4320319993","display_name":"Leverhulme Trust","ror":"https://ror.org/012mzw131"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1999056714.pdf","grobid_xml":"https://content.openalex.org/works/W1999056714.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W343690461","https://openalex.org/W1562197959","https://openalex.org/W1585009072","https://openalex.org/W1673841840","https://openalex.org/W1839397005","https://openalex.org/W1969333082","https://openalex.org/W1996137814","https://openalex.org/W2032073472","https://openalex.org/W2047688913","https://openalex.org/W2074112353","https://openalex.org/W2098314971","https://openalex.org/W2109414107","https://openalex.org/W2116480858","https://openalex.org/W2134965102","https://openalex.org/W2148001258","https://openalex.org/W2151245645","https://openalex.org/W2151832869","https://openalex.org/W2162149841","https://openalex.org/W2799061466","https://openalex.org/W3004389950"],"related_works":["https://openalex.org/W2163814182","https://openalex.org/W2372267530","https://openalex.org/W2969189870","https://openalex.org/W3015855446","https://openalex.org/W2965643117","https://openalex.org/W4303857162","https://openalex.org/W2407375987","https://openalex.org/W3049691116","https://openalex.org/W2505726097","https://openalex.org/W2950975704"],"abstract_inverted_index":{"Newborn":[0],"brain":[1,62],"maturity":[2,63],"can":[3,71],"be":[4,72],"assessed":[5,74],"by":[6,83],"expert":[7,84],"analysis":[8,85],"of":[9,19,38,48,64,86,124,141,178,187],"maturity-related":[10],"patterns":[11,21],"recognizable":[12,23],"in":[13,24,28,138,150,173],"polysomnograms.":[14],"Since":[15],"36":[16,67],"weeks":[17,68],"most":[18],"these":[20],"become":[22],"EEG":[25,29,40,79,110,167,188],"exclusively,":[26],"particularly,":[27],"recorded":[30],"via":[31],"the":[32,46,55,61,76,87,104,109,130,139,163,174,179],"two":[33],"central-temporal":[34],"channels.":[35],"The":[36,112,176],"use":[37,92,162],"such":[39],"recordings":[41],"enables":[42],"experts":[43,101],"to":[44,95,102,134,145,161,169],"minimize":[45],"disturbance":[47],"sleep,":[49],"preparation":[50],"time":[51],"as":[52,54,80,82],"well":[53],"movement":[56],"artifacts.":[57],"We":[58,91],"assume":[59],"that":[60],"newborns":[65],"aged":[66],"and":[69,99],"older":[70],"automatically":[73],"from":[75],"2-channel":[77],"sleep":[78],"accurately":[81],"full":[88,105],"polysomnographic":[89],"information.":[90],"Bayesian":[93,113],"inference":[94],"test":[96],"this":[97,157],"assumption":[98],"assist":[100],"obtain":[103],"probabilistic":[106],"information":[107,143,165],"on":[108,184],"assessments.":[111,175],"methodology":[114],"is":[115,182],"feasibly":[116],"implemented":[117],"with":[118],"Monte":[119],"Carlo":[120],"integration":[121],"over":[122],"areas":[123],"high":[125],"posterior":[126,164],"probability":[127],"density,":[128],"however":[129],"existing":[131],"techniques":[132],"tend":[133],"provide":[135],"biased":[136],"assessments":[137],"absence":[140],"prior":[142],"required":[144],"explore":[146],"a":[147,153,185],"model":[148],"space":[149],"detail":[151],"within":[152],"reasonable":[154],"time.":[155],"In":[156],"paper":[158],"we":[159],"aim":[160],"about":[166],"features":[168],"reduce":[170],"possible":[171],"bias":[172],"performance":[177],"proposed":[180],"method":[181],"tested":[183],"set":[186],"recordings.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-05-28T09:10:13.091523","created_date":"2025-10-10T00:00:00"}
