{"id":"https://openalex.org/W2566981336","doi":"https://doi.org/10.1109/iccabs.2016.7802775","title":"Automatic analysis of neonatal video data to evaluate resuscitation performance","display_name":"Automatic analysis of neonatal video data to evaluate resuscitation performance","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2566981336","doi":"https://doi.org/10.1109/iccabs.2016.7802775","mag":"2566981336"},"language":"en","primary_location":{"id":"doi:10.1109/iccabs.2016.7802775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccabs.2016.7802775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 6th International Conference on Computational Advances in Bio and Medical Sciences (ICCABS)","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/A5101888783","display_name":"Yue Guo","orcid":"https://orcid.org/0000-0001-9938-9543"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yue Guo","raw_affiliation_strings":["University of North Carolina at Chapel Hill, USA"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039718487","display_name":"Johan Wrammert","orcid":"https://orcid.org/0000-0002-9430-7681"},"institutions":[{"id":"https://openalex.org/I123387679","display_name":"Uppsala University","ror":"https://ror.org/048a87296","country_code":"SE","type":"education","lineage":["https://openalex.org/I123387679"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Johan Wrammert","raw_affiliation_strings":["Uppsala University, Sweden"],"affiliations":[{"raw_affiliation_string":"Uppsala University, Sweden","institution_ids":["https://openalex.org/I123387679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079993297","display_name":"Kavita Singh","orcid":"https://orcid.org/0000-0003-4012-6786"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kavita Singh","raw_affiliation_strings":["University of North Carolina at Chapel Hill, USA"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020695732","display_name":"Ashish KC","orcid":"https://orcid.org/0000-0002-0541-4486"},"institutions":[{"id":"https://openalex.org/I123387679","display_name":"Uppsala University","ror":"https://ror.org/048a87296","country_code":"SE","type":"education","lineage":["https://openalex.org/I123387679"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Ashish K. C.","raw_affiliation_strings":["Uppsala Universitet, Uppsala, SE"],"affiliations":[{"raw_affiliation_string":"Uppsala Universitet, Uppsala, SE","institution_ids":["https://openalex.org/I123387679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076606090","display_name":"Kira Bradford","orcid":"https://orcid.org/0000-0003-2403-817X"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kira Bradford","raw_affiliation_strings":["University of North Carolina at Chapel Hill, USA"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089183504","display_name":"Ashok Krishnamurthy","orcid":"https://orcid.org/0000-0002-3215-7622"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ashok Krishnamurthy","raw_affiliation_strings":["University of North Carolina at Chapel Hill, USA"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill, USA","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101888783"],"corresponding_institution_ids":["https://openalex.org/I114027177"],"apc_list":null,"apc_paid":null,"fwci":1.0269,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.80487579,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10549","display_name":"Neonatal Respiratory Health Research","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10549","display_name":"Neonatal Respiratory Health Research","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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":0.9944000244140625,"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/T11060","display_name":"Infant Development and Preterm Care","score":0.9923999905586243,"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/computer-science","display_name":"Computer science","score":0.7622538805007935},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6640322208404541},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6360670328140259},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5732837319374084},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5414246916770935},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.49349892139434814},{"id":"https://openalex.org/keywords/neonatal-resuscitation","display_name":"Neonatal resuscitation","score":0.4853002429008484},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4589678943157196},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4260072112083435},{"id":"https://openalex.org/keywords/resuscitation","display_name":"Resuscitation","score":0.4110725522041321},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3649720549583435},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10217216610908508},{"id":"https://openalex.org/keywords/emergency-medicine","display_name":"Emergency medicine","score":0.0806778073310852}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7622538805007935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6640322208404541},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6360670328140259},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5732837319374084},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5414246916770935},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.49349892139434814},{"id":"https://openalex.org/C2780843067","wikidata":"https://www.wikidata.org/wiki/Q25091318","display_name":"Neonatal resuscitation","level":3,"score":0.4853002429008484},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4589678943157196},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4260072112083435},{"id":"https://openalex.org/C2778165595","wikidata":"https://www.wikidata.org/wiki/Q5491454","display_name":"Resuscitation","level":2,"score":0.4110725522041321},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3649720549583435},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10217216610908508},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.0806778073310852}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccabs.2016.7802775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccabs.2016.7802775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 6th International Conference on Computational Advances in Bio and Medical Sciences (ICCABS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W639708223","https://openalex.org/W1595717062","https://openalex.org/W1867429401","https://openalex.org/W1880582869","https://openalex.org/W1923332106","https://openalex.org/W1986618684","https://openalex.org/W1993229407","https://openalex.org/W2001984683","https://openalex.org/W2016053056","https://openalex.org/W2018068650","https://openalex.org/W2021173800","https://openalex.org/W2026570363","https://openalex.org/W2034014085","https://openalex.org/W2045082375","https://openalex.org/W2066941820","https://openalex.org/W2088049833","https://openalex.org/W2102605133","https://openalex.org/W2105101328","https://openalex.org/W2126283532","https://openalex.org/W2126574503","https://openalex.org/W2135835324","https://openalex.org/W2139284748","https://openalex.org/W2151103935","https://openalex.org/W2155893237","https://openalex.org/W2156303437","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2186094539","https://openalex.org/W2214229058","https://openalex.org/W2613718673","https://openalex.org/W6600983433","https://openalex.org/W6620707391","https://openalex.org/W6635755983","https://openalex.org/W6639126518","https://openalex.org/W6682864246","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2955177785","https://openalex.org/W2776277180","https://openalex.org/W2161404493","https://openalex.org/W3108307641","https://openalex.org/W3028399363","https://openalex.org/W2140426017","https://openalex.org/W3102408484","https://openalex.org/W3048833916","https://openalex.org/W2951866553","https://openalex.org/W3010054949","https://openalex.org/W3017782462","https://openalex.org/W2120559187","https://openalex.org/W2985679054","https://openalex.org/W3037046522","https://openalex.org/W2120691543","https://openalex.org/W2016276784","https://openalex.org/W3008363999","https://openalex.org/W2804845319","https://openalex.org/W3153670796","https://openalex.org/W2809205127"],"abstract_inverted_index":{"Approximately":[0],"3%":[1],"of":[2,16,37,119,148],"births":[3],"require":[4,157],"neonatal":[5,28,60,149],"resuscitation,":[6],"which":[7,32,50],"has":[8],"a":[9,44,68,93,100,116],"direct":[10],"impact":[11],"on":[12,115],"the":[13,35,112,124,127,142],"immediate":[14],"survival":[15],"these":[17],"infants.":[18],"This":[19],"report":[20],"proposes":[21],"an":[22],"automatic":[23,146],"video":[24],"analysis":[25],"method":[26,114,129],"for":[27,130],"resuscitation":[29,61,150],"performance":[30],"evaluation,":[31],"helps":[33],"improve":[34],"quality":[36],"this":[38,139],"procedure.":[39],"More":[40],"specifically,":[41],"we":[42,66,86,98],"design":[43],"deep":[45,88],"learning":[46],"based":[47],"action":[48,131],"model":[49,102],"incorporates":[51],"motion":[52,83],"and":[53,77,122,152],"spatial":[54],"information":[55],"in":[56,63,107,133],"order":[57],"to":[58,72,91,103,144],"classify":[59],"actions":[62],"videos.":[64,134],"First,":[65],"use":[67],"Convolutional":[69],"Neural":[70],"Network":[71],"select":[73],"regions":[74],"containing":[75],"infants":[76],"only":[78],"keep":[79],"those":[80],"that":[81,156],"are":[82],"salient.":[84],"Second,":[85],"extract":[87],"spatial-temporal":[89],"features":[90],"train":[92],"linear":[94],"SVM":[95],"classifier.":[96],"Finally,":[97],"propose":[99],"pair-wise":[101],"ensure":[104],"consistent":[105],"classification":[106,132],"consecutive":[108],"frames.":[109],"We":[110],"evaluate":[111],"proposed":[113],"dataset":[117],"consisting":[118],"17":[120],"videos":[121,151],"compare":[123],"result":[125],"against":[126],"state-of-the-art":[128],"To":[135],"our":[136],"best":[137],"knowledge,":[138],"work":[140],"is":[141],"first":[143],"attempt":[145],"evaluation":[147],"identifies":[153],"several":[154],"issues":[155],"further":[158],"work.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}