{"id":"https://openalex.org/W4366669163","doi":"https://doi.org/10.1109/jiot.2023.3269096","title":"A Dual Self-Calibrating Framework for Noninvasive Fetal ECG R-Peak Detection","display_name":"A Dual Self-Calibrating Framework for Noninvasive Fetal ECG R-Peak Detection","publication_year":2023,"publication_date":"2023-04-21","ids":{"openalex":"https://openalex.org/W4366669163","doi":"https://doi.org/10.1109/jiot.2023.3269096"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2023.3269096","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3269096","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-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/A5068549046","display_name":"Lihong Qiao","orcid":"https://orcid.org/0000-0001-7722-0093"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lihong Qiao","raw_affiliation_strings":["Department of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100325722","display_name":"Shuai Hu","orcid":"https://orcid.org/0000-0002-4335-885X"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Hu","raw_affiliation_strings":["Department of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064113420","display_name":"Bin Xiao","orcid":"https://orcid.org/0000-0001-8469-5302"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Xiao","raw_affiliation_strings":["Department of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070419363","display_name":"Xiuli Bi","orcid":"https://orcid.org/0000-0003-3134-217X"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuli Bi","raw_affiliation_strings":["Department of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058194445","display_name":"Weisheng Li","orcid":"https://orcid.org/0000-0002-9033-8245"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weisheng Li","raw_affiliation_strings":["Department of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101785348","display_name":"Xinbo Gao","orcid":"https://orcid.org/0000-0003-1443-0776"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinbo Gao","raw_affiliation_strings":["Department of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5068549046"],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":null,"apc_paid":null,"fwci":3.7097,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.94280268,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"10","issue":"18","first_page":"16579","last_page":"16593"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9998000264167786,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9998000264167786,"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":0.994700014591217,"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/calibration","display_name":"Calibration","score":0.5690382719039917},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5327643752098083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47348272800445557},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45223376154899597},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4456169605255127},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2302451729774475},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10868781805038452}],"concepts":[{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5690382719039917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5327643752098083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47348272800445557},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45223376154899597},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4456169605255127},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2302451729774475},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10868781805038452},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2023.3269096","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3269096","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.8299999833106995}],"awards":[{"id":"https://openalex.org/G3002019188","display_name":null,"funder_award_id":"61976031","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G753725263","display_name":null,"funder_award_id":"62276040","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8154456494","display_name":null,"funder_award_id":"62276041","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1587559447","https://openalex.org/W1974011200","https://openalex.org/W1988914719","https://openalex.org/W1991516616","https://openalex.org/W1992805210","https://openalex.org/W1995424939","https://openalex.org/W2041172941","https://openalex.org/W2065506507","https://openalex.org/W2077204677","https://openalex.org/W2115156609","https://openalex.org/W2122230313","https://openalex.org/W2127466455","https://openalex.org/W2141224535","https://openalex.org/W2148534488","https://openalex.org/W2149625985","https://openalex.org/W2337770506","https://openalex.org/W2344745309","https://openalex.org/W2413626078","https://openalex.org/W2784247182","https://openalex.org/W2812403243","https://openalex.org/W2898732934","https://openalex.org/W2921531841","https://openalex.org/W2922438360","https://openalex.org/W2922727261","https://openalex.org/W2947659587","https://openalex.org/W2969875468","https://openalex.org/W2971311819","https://openalex.org/W3006194497","https://openalex.org/W3018487163","https://openalex.org/W3030108653","https://openalex.org/W3036313177","https://openalex.org/W3084554155","https://openalex.org/W3090913556","https://openalex.org/W3118640156","https://openalex.org/W3134971145","https://openalex.org/W3135861898","https://openalex.org/W3151648464","https://openalex.org/W3165027303","https://openalex.org/W3166928989","https://openalex.org/W3201443180","https://openalex.org/W3206006883","https://openalex.org/W3217425866","https://openalex.org/W4221105871","https://openalex.org/W4226115007","https://openalex.org/W4236525726","https://openalex.org/W6676302446","https://openalex.org/W6679055145","https://openalex.org/W6682733044","https://openalex.org/W6715610846"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Fetal":[0],"heart":[1,18,44],"rate":[2],"(fHR)":[3],"is":[4,68,103,150,172,201,257,279],"critical":[5],"for":[6],"assessing":[7],"fetal":[8,15,35,97,166,186,220,229,269],"health":[9],"and":[10,20,61,94,122,146,180,193,213,238,246,262],"diagnosing":[11,43],"disorders,":[12],"such":[13],"as":[14,266],"distress,":[16],"congenital":[17],"disease,":[19],"intrauterine":[21],"growth":[22],"retardation.":[23],"With":[24],"the":[25,29,51,58,62,110,154,163,169,176,208,217,273],"rapid":[26],"development":[27],"of":[28,31,54,165,219,248,275],"Internet":[30],"Medical":[32],"Things":[33],"(IoMT),":[34],"R-peak":[36,73,98,167,187,230],"detection":[37,74,99,231],"plays":[38],"an":[39,104],"important":[40],"role":[41],"in":[42,57,138,216,228,272,281],"defects":[45],"during":[46],"pregnancy.":[47],"However,":[48],"due":[49],"to":[50,70,126,131,152,160,174,205,259],"nonlinear":[52,209],"mixing":[53],"multiple":[55],"sources":[56],"noninvasive":[59],"signals":[60],"low":[63],"signal-to-noise":[64],"ratio":[65],"(SNR),":[66],"it":[67],"difficult":[69],"obtain":[71],"accurate":[72],"result.":[75],"This":[76],"article":[77],"presents":[78],"a":[79,85,95,144,202,234,267],"dual":[80],"self-calibrating":[81,96,181,214],"system":[82],"based":[83],"on":[84,233],"spectral":[86,111,211],"attention":[87,112],"kernel":[88],"independent":[89],"component":[90],"analysis":[91],"(SA-KICA)":[92],"module":[93,107,171],"(SC-FRD)":[100],"module.":[101],"SA-KICA":[102],"ICA-based":[105],"calibration":[106],"constructed":[108],"by":[109],"mechanism,":[113],"which":[114,183],"was":[115,123],"sought":[116],"from":[117],"short-time":[118],"Fourier":[119],"transform":[120],"(STFT)":[121],"shipped":[124],"back":[125],"original":[127],"signal":[128],"with":[129,243],"convolution":[130],"achieve":[132],"perfect":[133],"maternal":[134],"electrocardiogram":[135],"(MECG)":[136],"separation":[137],"high-dimensional":[139],"linear":[140],"separable":[141],"space.":[142],"Then,":[143],"periodic":[145],"morphological-based":[147],"channel":[148],"selector":[149],"designed":[151],"select":[153],"optimal":[155],"MECG.":[156],"After":[157],"MECG":[158],"removal,":[159],"further":[161],"improve":[162],"performance":[164,227],"detection,":[168],"SC-FRD":[170],"introduced":[173],"utilize":[175],"interior":[177],"peak":[178],"information":[179],"strategy,":[182],"includes":[184],"variance-based":[185],"seed":[188],"selection,":[189],"time-varying":[190],"coarse":[191],"prediction,":[192],"adaptive":[194],"probability":[195],"mask":[196],"calibration.":[197],"The":[198,223,250,277],"proposed":[199],"framework":[200,224,256],"primary":[203],"attempt":[204],"concurrently":[206],"introduce":[207],"feature,":[210],"information,":[212],"strategy":[215],"field":[218],"ECG":[221],"processing.":[222],"achieved":[225],"excellent":[226],"accuracy":[232],"simulated":[235],"data":[236,241],"set":[237],"two":[239],"public":[240],"sets":[242],"varying":[244],"divergence":[245],"richness":[247],"resources.":[249],"experimental":[251],"results":[252],"show":[253],"that":[254],"our":[255],"superior":[258],"existing":[260],"methods":[261],"can":[263],"be":[264],"used":[265],"potential":[268],"monitoring":[270],"method":[271],"application":[274],"IoMT.":[276],"code":[278],"released":[280],"<uri":[282],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[283],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/bfyjr/NI-FECG-Extraction</uri>":[284],".":[285]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-10-10T00:00:00"}