{"id":"https://openalex.org/W7161242710","doi":"https://doi.org/10.48550/arxiv.2605.14242","title":"Artificial Intelligence-Assistant Cardiotocography: Unified Model for Signal Reconstruction, Fetal Heart Rate Analysis, and Variability Assessment","display_name":"Artificial Intelligence-Assistant Cardiotocography: Unified Model for Signal Reconstruction, Fetal Heart Rate Analysis, and Variability Assessment","publication_year":2026,"publication_date":"2026-05-14","ids":{"openalex":"https://openalex.org/W7161242710","doi":"https://doi.org/10.48550/arxiv.2605.14242"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.14242","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.14242","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.14242","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136254232","display_name":"Xiaohua Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Xiaohua","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136214659","display_name":"Kai Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Kai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136209338","display_name":"XuXiao Liang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang, XuXiao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136204311","display_name":"Liang Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Liang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136238148","display_name":"Chao Han","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han, Chao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T11184","display_name":"Neonatal and fetal brain pathology","score":0.9038000106811523,"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"}},"topics":[{"id":"https://openalex.org/T11184","display_name":"Neonatal and fetal brain pathology","score":0.9038000106811523,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.06260000169277191,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular 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/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.01269999984651804,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fetal-heart-rate","display_name":"Fetal heart rate","score":0.7200000286102295},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.6402000188827515},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5809999704360962},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.5389000177383423},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.49129998683929443},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4828999936580658},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4528000056743622},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.3693000078201294}],"concepts":[{"id":"https://openalex.org/C3020626262","wikidata":"https://www.wikidata.org/wiki/Q886292","display_name":"Fetal heart rate","level":4,"score":0.7200000286102295},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.6402000188827515},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5809999704360962},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.5389000177383423},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5101000070571899},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.49129998683929443},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4828999936580658},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46799999475479126},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4528000056743622},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3693000078201294},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.36320000886917114},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3249000012874603},{"id":"https://openalex.org/C2777953023","wikidata":"https://www.wikidata.org/wiki/Q1073121","display_name":"Heart rate","level":3,"score":0.32269999384880066},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.32100000977516174},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3142000138759613},{"id":"https://openalex.org/C45493050","wikidata":"https://www.wikidata.org/wiki/Q7884934","display_name":"Unified Model","level":2,"score":0.31369999051094055},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30730000138282776},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.2935999929904938},{"id":"https://openalex.org/C3019813237","wikidata":"https://www.wikidata.org/wiki/Q65089264","display_name":"Model validation","level":2,"score":0.2922999858856201},{"id":"https://openalex.org/C2778475581","wikidata":"https://www.wikidata.org/wiki/Q1884389","display_name":"Magnetocardiography","level":2,"score":0.27639999985694885},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.2687999904155731},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.25699999928474426},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.25519999861717224}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.14242","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.14242","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.14242","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.14242","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"monitoring":[1],"of":[2,10,68,137],"fetal":[3,17],"heart":[4],"rate":[5,93],"(FHR)":[6],"and":[7,19,33,55,73,106,114,117,120,139,145],"the":[8,85],"assessment":[9],"its":[11],"variability":[12],"are":[13],"crucial":[14],"for":[15,47,128,141],"preventing":[16],"compromise":[18],"adverse":[20],"outcomes.":[21],"However,":[22],"traditional":[23],"methods":[24],"encounter":[25],"limitations":[26],"arising":[27],"from":[28],"equipment":[29],"performance,":[30],"data":[31,71],"transmission,":[32],"subjective":[34],"assessments":[35],"by":[36],"doctors.":[37],"We":[38],"have":[39],"developed":[40],"a":[41,64],"tailored":[42],"AI-based":[43],"FHrCTG":[44],"model":[45,60,102,132],"specifically":[46],"FHR":[48,111,143],"monitoring,":[49],"which":[50,91],"effectively":[51],"mitigates":[52],"noise":[53],"interference":[54],"precisely":[56],"reconstructs":[57],"signals.":[58],"Our":[59],"was":[61],"pre-trained":[62],"on":[63,125],"massive":[65],"dataset":[66],"consisting":[67],"558,412":[69],"unlabeled":[70],"points":[72],"further":[74],"refined":[75],"using":[76],"7,266":[77],"expert-reviewed":[78],"entries.":[79],"To":[80],"validate":[81],"FHR,":[82],"we":[83],"introduced":[84],"Intersection":[86],"Overlapping":[87],"Labels":[88],"(IOL)":[89],"approach,":[90],"transforms":[92],"analysis":[94],"into":[95],"categorical":[96],"judgments.":[97],"Testing":[98],"revealed":[99],"that":[100],"our":[101,131],"demonstrates":[103],"high":[104],"sensitivity":[105],"specificity":[107],"in":[108],"detecting":[109],"critical":[110],"decelerations":[112],"(89.13%":[113],"87.78%,":[115],"respectively)":[116],"accelerations":[118],"(62.5%":[119],"92.04%,":[121],"respectively).":[122],"Furthermore,":[123],"based":[124],"Fischer's":[126],"criteria":[127],"clinical":[129],"application,":[130],"achieved":[133],"impressive":[134],"AUC":[135],"scores":[136],"0.7214":[138],"0.9643":[140],"verifying":[142],"periodicity":[144],"amplitude":[146],"variation,":[147],"respectively.":[148]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-16T00:00:00"}
