{"id":"https://openalex.org/W4205211120","doi":"https://doi.org/10.23919/cinc53138.2021.9662822","title":"Towards Generalization of Cardiac Abnormality Classification Using ECG Signal","display_name":"Towards Generalization of Cardiac Abnormality Classification Using ECG Signal","publication_year":2021,"publication_date":"2021-09-13","ids":{"openalex":"https://openalex.org/W4205211120","doi":"https://doi.org/10.23919/cinc53138.2021.9662822"},"language":"en","primary_location":{"id":"doi:10.23919/cinc53138.2021.9662822","is_oa":false,"landing_page_url":"https://doi.org/10.23919/cinc53138.2021.9662822","pdf_url":null,"source":{"id":"https://openalex.org/S4363605378","display_name":"2021 Computing in Cardiology (CinC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Computing in Cardiology (CinC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100449163","display_name":"Xiaoyu Li","orcid":"https://orcid.org/0000-0002-7876-1497"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Li","raw_affiliation_strings":["Xi'an Jiaotong University,School of Electronic and Information Engineering,Xi'an,Shaanxi Province,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University,School of Electronic and Information Engineering,Xi'an,Shaanxi Province,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100369793","display_name":"Chen Li","orcid":"https://orcid.org/0000-0002-0079-3106"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Li","raw_affiliation_strings":["Xi'an Jiaotong University,SPKLSTN Lab,Department of Computer Science and Technology,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University,SPKLSTN Lab,Department of Computer Science and Technology,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101152987","display_name":"Xian Xu","orcid":"https://orcid.org/0000-0002-2636-7498"},"institutions":[{"id":"https://openalex.org/I4401726822","display_name":"Ping An (China)","ror":"https://ror.org/004yv2z91","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian Xu","raw_affiliation_strings":["Ping An Health Technology,Shanghai,China","Ping An Health Technology, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ping An Health Technology,Shanghai,China","institution_ids":["https://openalex.org/I4401726822"]},{"raw_affiliation_string":"Ping An Health Technology, Shanghai, China","institution_ids":["https://openalex.org/I4401726822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018053708","display_name":"Yuhua Wei","orcid":"https://orcid.org/0000-0003-0140-873X"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhua Wei","raw_affiliation_strings":["Xi'an Jiaotong University,National Engineering Lab of Big Data Analytics,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University,National Engineering Lab of Big Data Analytics,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111899847","display_name":"Jishang Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jishang Wei","raw_affiliation_strings":["HP Labs,Palo Alto,America","HP Labs, Palo Alto, America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HP Labs,Palo Alto,America","institution_ids":["https://openalex.org/I1324840837"]},{"raw_affiliation_string":"HP Labs, Palo Alto, America","institution_ids":["https://openalex.org/I1324840837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101778040","display_name":"Yuyao Sun","orcid":"https://orcid.org/0000-0002-8984-5231"},"institutions":[{"id":"https://openalex.org/I4401726822","display_name":"Ping An (China)","ror":"https://ror.org/004yv2z91","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuyao Sun","raw_affiliation_strings":["Ping An Health Technology,Shanghai,China","Ping An Health Technology, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ping An Health Technology,Shanghai,China","institution_ids":["https://openalex.org/I4401726822"]},{"raw_affiliation_string":"Ping An Health Technology, Shanghai, China","institution_ids":["https://openalex.org/I4401726822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074506574","display_name":"Buyue Qian","orcid":"https://orcid.org/0000-0003-4780-5677"},"institutions":[{"id":"https://openalex.org/I4210121771","display_name":"First Affiliated Hospital of Xi'an Jiaotong University","ror":"https://ror.org/02tbvhh96","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210121771"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Buyue Qian","raw_affiliation_strings":["The First Affiliated Hospital of Xi'an Jiaotong University,Xi'an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The First Affiliated Hospital of Xi'an Jiaotong University,Xi'an,China","institution_ids":["https://openalex.org/I4210121771"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002922817","display_name":"Xiao Xu","orcid":"https://orcid.org/0000-0001-7763-048X"},"institutions":[{"id":"https://openalex.org/I4401726822","display_name":"Ping An (China)","ror":"https://ror.org/004yv2z91","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Xu","raw_affiliation_strings":["Ping An Health Technology,Shanghai,China","Ping An Health Technology, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ping An Health Technology,Shanghai,China","institution_ids":["https://openalex.org/I4401726822"]},{"raw_affiliation_string":"Ping An Health Technology, Shanghai, China","institution_ids":["https://openalex.org/I4401726822"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.7067,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.94555445,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9857000112533569,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9817000031471252,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/generalization","display_name":"Generalization","score":0.8206623792648315},{"id":"https://openalex.org/keywords/abnormality","display_name":"Abnormality","score":0.7628343105316162},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6856948137283325},{"id":"https://openalex.org/keywords/lead","display_name":"Lead (geology)","score":0.6356925368309021},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6274479627609253},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5986877679824829},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5976783037185669},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4986100196838379},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.446006178855896},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43665629625320435},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16200345754623413},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14198583364486694},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10279572010040283}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.8206623792648315},{"id":"https://openalex.org/C50965678","wikidata":"https://www.wikidata.org/wiki/Q2724302","display_name":"Abnormality","level":2,"score":0.7628343105316162},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6856948137283325},{"id":"https://openalex.org/C2777093003","wikidata":"https://www.wikidata.org/wiki/Q6508345","display_name":"Lead (geology)","level":2,"score":0.6356925368309021},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6274479627609253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5986877679824829},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5976783037185669},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4986100196838379},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.446006178855896},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43665629625320435},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16200345754623413},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14198583364486694},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10279572010040283},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/cinc53138.2021.9662822","is_oa":false,"landing_page_url":"https://doi.org/10.23919/cinc53138.2021.9662822","pdf_url":null,"source":{"id":"https://openalex.org/S4363605378","display_name":"2021 Computing in Cardiology (CinC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Computing in Cardiology (CinC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2602671816","display_name":null,"funder_award_id":"61721002,61772409","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G525195317","display_name":null,"funder_award_id":"IRT _17R86","funder_id":"https://openalex.org/F4320311649","funder_display_name":"Ministry of Education"}],"funders":[{"id":"https://openalex.org/F4320311649","display_name":"Ministry of Education","ror":"https://ror.org/036nq5137"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327609","display_name":"China Knowledge Centre for Engineering Sciences and Technology","ror":null},{"id":"https://openalex.org/F4320330193","display_name":"Chinese Academy of Engineering","ror":"https://ror.org/00z3yke57"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2888456553","https://openalex.org/W2988505946","https://openalex.org/W2996959172","https://openalex.org/W3008167346","https://openalex.org/W3027572331","https://openalex.org/W3049106197","https://openalex.org/W3119163262","https://openalex.org/W3119282903","https://openalex.org/W3121032337","https://openalex.org/W3121053052","https://openalex.org/W3127637041","https://openalex.org/W4206135956","https://openalex.org/W4214673031","https://openalex.org/W6770214530","https://openalex.org/W6774025570","https://openalex.org/W6788522963","https://openalex.org/W6788685287","https://openalex.org/W6788939948","https://openalex.org/W6807079463"],"related_works":["https://openalex.org/W4247543202","https://openalex.org/W4243456421","https://openalex.org/W2417397217","https://openalex.org/W4255463199","https://openalex.org/W4281691423","https://openalex.org/W2411039299","https://openalex.org/W1856410221","https://openalex.org/W2355857550","https://openalex.org/W3093256375","https://openalex.org/W2075445622"],"abstract_inverted_index":{"In":[0,22],"the":[1,36,65,69,100,111,116],"PhysioNet/Computing":[2],"in":[3],"Cardiology":[4],"Challenge":[5,117],"2021,":[6],"our":[7,23],"team,":[8],"DrCubic,":[9],"develops":[10],"a":[11,30],"novel":[12],"approach":[13],"to":[14],"classify":[15],"cardiac":[16],"abnormalities":[17],"using":[18],"reduced-lead":[19],"ECG":[20],"recordings.":[21],"approach,":[24],"we":[25,57],"incorporate":[26],"peak":[27],"detection":[28],"as":[29],"self-supervised":[31],"auxiliary":[32],"task.":[33],"We":[34],"build":[35],"model":[37],"based":[38],"on":[39],"SE-ResNet,":[40],"and":[41,48,61,63,72,85,92,106],"integrate":[42],"models":[43],"of":[44,80,95,110],"different":[45],"input":[46],"lengths":[47],"sampling":[49],"rates.":[50],"Inspired":[51],"by":[52],"last":[53],"year's":[54],"challenge":[55],"results,":[56],"investigate":[58],"various":[59],"settings":[60],"techniques,":[62],"select":[64],"best":[66],"ones,":[67],"considering":[68],"intra-source":[70],"performance":[71],"inter-source":[73],"generalization":[74],"simultaneously.":[75],"Our":[76],"classifiers":[77],"receive":[78],"scores":[79],"0.49,":[81],"0.50,":[82,83],"0.51,":[84],"0.48":[86],"(ranked":[87],"9th,":[88],"8th,":[89],"7th,":[90],"5th,":[91],"9th":[93],"out":[94],"39":[96],"scored":[97],"teams)":[98],"for":[99],"12":[101],"-lead,":[102],"6-lead,":[103],"4-lead,":[104],"3-lead,":[105],"2":[107],"-lead":[108],"versions":[109],"hidden":[112],"test":[113],"sets":[114],"with":[115],"evaluation":[118],"metric.":[119]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}