{"id":"https://openalex.org/W2966193422","doi":"https://doi.org/10.24963/ijcai.2019/839","title":"K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection","display_name":"K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection","publication_year":2019,"publication_date":"2019-07-28","ids":{"openalex":"https://openalex.org/W2966193422","doi":"https://doi.org/10.24963/ijcai.2019/839","mag":"2966193422"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2019/839","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/839","pdf_url":"https://www.ijcai.org/proceedings/2019/0839.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2019/0839.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100711803","display_name":"Yuxi Zhou","orcid":"https://orcid.org/0000-0001-6875-726X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxi Zhou","raw_affiliation_strings":["Key Laboratory of Machine Perception (Peking University), Ministry of Education, Beijing, China","School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (Peking University), Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080648149","display_name":"Shenda Hong","orcid":"https://orcid.org/0000-0001-7521-5127"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenda Hong","raw_affiliation_strings":["Key Laboratory of Machine Perception (Peking University), Ministry of Education, Beijing, China","School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (Peking University), Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023311055","display_name":"Junyuan Shang","orcid":"https://orcid.org/0000-0003-4301-750X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyuan Shang","raw_affiliation_strings":["Key Laboratory of Machine Perception (Peking University), Ministry of Education, Beijing, China","School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (Peking University), Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Meng Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Wu","raw_affiliation_strings":["Key Laboratory of Machine Perception (Peking University), Ministry of Education, Beijing, China","School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (Peking University), Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100760911","display_name":"Qingyun Wang","orcid":"https://orcid.org/0000-0003-2931-4663"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyun Wang","raw_affiliation_strings":["Key Laboratory of Machine Perception (Peking University), Ministry of Education, Beijing, China","School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (Peking University), Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455569","display_name":"Hongyan Li","orcid":"https://orcid.org/0000-0001-7174-2851"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyan Li","raw_affiliation_strings":["Key Laboratory of Machine Perception (Peking University), Ministry of Education, Beijing, China","School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (Peking University), Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005723350","display_name":"Junqing Xie","orcid":"https://orcid.org/0000-0002-0040-0042"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junqing Xie","raw_affiliation_strings":["Medical Informatics Center, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Medical Informatics Center, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":6.9821,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.97478329,"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":"6057","last_page":"6063"},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9743000268936157,"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/T10065","display_name":"Atrial Fibrillation Management and Outcomes","score":0.970300018787384,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.7265099287033081},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7021214962005615},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6840981245040894},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5935786962509155},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5083436369895935},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4914618730545044},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4891272187232971},{"id":"https://openalex.org/keywords/skewness","display_name":"Skewness","score":0.48387420177459717},{"id":"https://openalex.org/keywords/heartbeat","display_name":"Heartbeat","score":0.47793224453926086},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.47131118178367615},{"id":"https://openalex.org/keywords/atrial-fibrillation","display_name":"Atrial fibrillation","score":0.43513837456703186},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.38104546070098877},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3252237141132355},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19986513257026672},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14719721674919128},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.1426573097705841},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13841858506202698},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12735149264335632}],"concepts":[{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.7265099287033081},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7021214962005615},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6840981245040894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5935786962509155},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5083436369895935},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4914618730545044},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4891272187232971},{"id":"https://openalex.org/C122342681","wikidata":"https://www.wikidata.org/wiki/Q330828","display_name":"Skewness","level":2,"score":0.48387420177459717},{"id":"https://openalex.org/C13852961","wikidata":"https://www.wikidata.org/wiki/Q17021880","display_name":"Heartbeat","level":2,"score":0.47793224453926086},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.47131118178367615},{"id":"https://openalex.org/C2779161974","wikidata":"https://www.wikidata.org/wiki/Q815819","display_name":"Atrial fibrillation","level":2,"score":0.43513837456703186},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.38104546070098877},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3252237141132355},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19986513257026672},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14719721674919128},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.1426573097705841},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13841858506202698},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12735149264335632},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2019/839","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/839","pdf_url":"https://www.ijcai.org/proceedings/2019/0839.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2019/839","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/839","pdf_url":"https://www.ijcai.org/proceedings/2019/0839.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2966193422.pdf","grobid_xml":"https://content.openalex.org/works/W2966193422.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W636713068","https://openalex.org/W2025508891","https://openalex.org/W2063875884","https://openalex.org/W2107000047","https://openalex.org/W2108199928","https://openalex.org/W2194775991","https://openalex.org/W2251482333","https://openalex.org/W2272857005","https://openalex.org/W2291961022","https://openalex.org/W2551342563","https://openalex.org/W2790971290","https://openalex.org/W2791945458","https://openalex.org/W2794550444","https://openalex.org/W2794633590","https://openalex.org/W2794709367","https://openalex.org/W2795115089","https://openalex.org/W2795151324","https://openalex.org/W2883929203","https://openalex.org/W2891154157","https://openalex.org/W2902644322","https://openalex.org/W2932995131","https://openalex.org/W2963478701","https://openalex.org/W2964036440"],"related_works":["https://openalex.org/W4385543909","https://openalex.org/W3039320222","https://openalex.org/W3199640442","https://openalex.org/W1898280036","https://openalex.org/W2315807364","https://openalex.org/W2382278803","https://openalex.org/W2376695684","https://openalex.org/W2189529952","https://openalex.org/W2803040299","https://openalex.org/W2034075638"],"abstract_inverted_index":{"Atrial":[0],"Fibrillation":[1],"(AF)":[2],"is":[3,19,49,97,112],"an":[4,69,140],"abnormal":[5],"heart":[6],"rhythm":[7],"which":[8],"can":[9],"trigger":[10],"cardiac":[11],"arrest":[12],"and":[13,106,120,143],"sudden":[14],"death.":[15],"Nevertheless,":[16],"its":[17],"interpretation":[18],"mostly":[20],"done":[21],"by":[22,65,146,180],"medical":[23],"experts":[24],"due":[25,52],"to":[26,53,99,114,131],"high":[27],"error":[28],"rates":[29],"of":[30,40,103,139],"computerized":[31],"interpretation.":[32],"One":[33],"study":[34],"found":[35],"that":[36,162],"only":[37],"about":[38],"66%":[39],"AF":[41,85,177],"were":[42],"correctly":[43],"recognized":[44],"from":[45,87],"noisy":[46,66,88],"ECGs.":[47,89],"This":[48],"in":[50,68],"part":[51],"insufficient":[54],"training":[55],"data,":[56],"class":[57,107],"skewness,":[58],"as":[59,61],"well":[60],"semantical":[62],"ambiguities":[63],"caused":[64],"segments":[67,153],"ECG":[70,141],"record.":[71,157],"In":[72,90],"this":[73],"paper,":[74],"we":[75,125],"propose":[76],"a":[77,92,127],"K-margin-based":[78,128],"Residual-Convolution-Recurrent":[79],"neural":[80],"network":[81],"(K-margin-based":[82],"RCR-net)":[83],"for":[84,155,176],"detection":[86,178],"detail,":[91],"skewness-driven":[93],"dynamic":[94],"augmentation":[95],"method":[96,165],"employed":[98],"handle":[100,144],"the":[101,135,152,163],"problems":[102],"data":[104],"inadequacy":[105],"imbalance.":[108],"A":[109],"novel":[110],"RCR-net":[111],"proposed":[113,164],"automatically":[115,132],"extract":[116],"both":[117],"long-term":[118],"rhythm-level":[119],"local":[121],"heartbeat-level":[122],"characters.":[123],"Finally,":[124],"present":[126],"diagnosis":[129],"model":[130],"focus":[133],"on":[134],"most":[136],"important":[137],"parts":[138],"record":[142],"noise":[145],"naturally":[147],"exploiting":[148],"expected":[149],"consistency":[150],"among":[151],"associated":[154],"each":[156],"The":[158],"experimental":[159],"results":[160],"demonstrate":[161],"with":[166],"0.8125":[167],"F1NAOP":[168],"score":[169],"outperforms":[170],"all":[171],"state-of-the-art":[172],"deep":[173],"learning":[174],"methods":[175],"task":[179],"6.8%.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}