{"id":"https://openalex.org/W4285740536","doi":"https://doi.org/10.1109/jbhi.2022.3191754","title":"DDCNN: A Deep Learning Model for AF Detection From a Single-Lead Short ECG Signal","display_name":"DDCNN: A Deep Learning Model for AF Detection From a Single-Lead Short ECG Signal","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4285740536","doi":"https://doi.org/10.1109/jbhi.2022.3191754","pmid":"https://pubmed.ncbi.nlm.nih.gov/35849679"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2022.3191754","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2022.3191754","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5019769080","display_name":"Zhaocheng Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhaocheng Yu","raw_affiliation_strings":["College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062208207","display_name":"Junxin Chen","orcid":"https://orcid.org/0000-0003-4745-8361"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junxin Chen","raw_affiliation_strings":["College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0003-4745-8361","affiliations":[{"raw_affiliation_string":"College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100345843","display_name":"Yu Liu","orcid":"https://orcid.org/0000-0002-7804-4754"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Liu","raw_affiliation_strings":["College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031480448","display_name":"Yongyong Chen","orcid":"https://orcid.org/0000-0003-1970-1993"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongyong Chen","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100447723","display_name":"Tingting Wang","orcid":"https://orcid.org/0000-0002-2666-7159"},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Tingting Wang","raw_affiliation_strings":["Faculty of Information Technology, Macau University of Science and Technology, Macau, China"],"raw_orcid":"https://orcid.org/0000-0002-2666-7159","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Macau University of Science and Technology, Macau, China","institution_ids":["https://openalex.org/I111950717"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103202243","display_name":"Robert Nowak","orcid":"https://orcid.org/0000-0001-7248-6888"},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]},{"id":"https://openalex.org/I4210087266","display_name":"Institute of Computer Science","ror":"https://ror.org/003fvp964","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210087266","https://openalex.org/I99542240"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Robert Nowak","raw_affiliation_strings":["Artificial Intelligence Division, Institute of Computer Science, Warsaw University of Technology, Warsaw, Poland"],"raw_orcid":"https://orcid.org/0000-0001-7248-6888","affiliations":[{"raw_affiliation_string":"Artificial Intelligence Division, Institute of Computer Science, Warsaw University of Technology, Warsaw, Poland","institution_ids":["https://openalex.org/I108403487","https://openalex.org/I4210087266"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108044017","display_name":"Zhihan Lv","orcid":"https://orcid.org/0009-0005-9452-5768"},"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":"Zhihan Lv","raw_affiliation_strings":["Department of Game Design, Faculty of Arts, Uppsala University, Uppsala, Sweden"],"raw_orcid":"https://orcid.org/0000-0003-2525-3074","affiliations":[{"raw_affiliation_string":"Department of Game Design, Faculty of Arts, Uppsala University, Uppsala, Sweden","institution_ids":["https://openalex.org/I123387679"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5019769080"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":6.5499,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.97615768,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"26","issue":"10","first_page":"4987","last_page":"4995"},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9811999797821045,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9700999855995178,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7387897968292236},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6697040796279907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6492442488670349},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6158022284507751},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.602056086063385},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5878878831863403},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4845549166202545},{"id":"https://openalex.org/keywords/lead","display_name":"Lead (geology)","score":0.44882920384407043},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.44319960474967957},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.43518316745758057},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4315760135650635},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3362801969051361},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07626435160636902}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7387897968292236},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6697040796279907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6492442488670349},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6158022284507751},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.602056086063385},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5878878831863403},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4845549166202545},{"id":"https://openalex.org/C2777093003","wikidata":"https://www.wikidata.org/wiki/Q6508345","display_name":"Lead (geology)","level":2,"score":0.44882920384407043},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.44319960474967957},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.43518316745758057},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4315760135650635},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3362801969051361},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07626435160636902},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001281","descriptor_name":"Atrial Fibrillation","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D001281","descriptor_name":"Atrial Fibrillation","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D001281","descriptor_name":"Atrial Fibrillation","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006339","descriptor_name":"Heart Rate","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006339","descriptor_name":"Heart Rate","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006339","descriptor_name":"Heart Rate","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2022.3191754","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2022.3191754","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:35849679","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35849679","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1570251590","display_name":null,"funder_award_id":"62106063","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3911502178","display_name":null,"funder_award_id":"2022A1515010819","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G6717434564","display_name":null,"funder_award_id":"62171114","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"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1901616594","https://openalex.org/W1998083759","https://openalex.org/W2079724595","https://openalex.org/W2122993154","https://openalex.org/W2125654608","https://openalex.org/W2135035075","https://openalex.org/W2146842127","https://openalex.org/W2310760139","https://openalex.org/W2514172728","https://openalex.org/W2523246573","https://openalex.org/W2790971290","https://openalex.org/W2791945458","https://openalex.org/W2794982513","https://openalex.org/W2795086889","https://openalex.org/W2795106440","https://openalex.org/W2795210807","https://openalex.org/W2887119478","https://openalex.org/W2887171948","https://openalex.org/W2962680400","https://openalex.org/W2963478701","https://openalex.org/W2964749309","https://openalex.org/W2978760586","https://openalex.org/W3000250023","https://openalex.org/W3011212210","https://openalex.org/W3021414116","https://openalex.org/W3026072590","https://openalex.org/W3033966907","https://openalex.org/W3127459604","https://openalex.org/W3164178104","https://openalex.org/W3164454234","https://openalex.org/W3170049569","https://openalex.org/W6631190155","https://openalex.org/W6638824847","https://openalex.org/W6684191040","https://openalex.org/W6727249380"],"related_works":["https://openalex.org/W4255463199","https://openalex.org/W4281691423","https://openalex.org/W2411039299","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3029198973","https://openalex.org/W3185156046"],"abstract_inverted_index":{"With":[0],"the":[1,4,27,79,83,98,108,122,136,141,144,151,157,162],"popularity":[2],"of":[3,13,41,76,143,161],"wireless":[5],"body":[6],"sensor":[7],"network,":[8],"real-time":[9],"and":[10,87,92,101,139,150,159],"continuous":[11],"collection":[12],"single-lead":[14,29,70,145],"electrocardiogram":[15],"(ECG)":[16],"data":[17,61,125],"becomes":[18],"possible":[19],"in":[20],"a":[21,46,53,60],"convenient":[22],"way.":[23],"Data":[24],"mining":[25],"from":[26,69],"collected":[28],"ECG":[30,72,85,90,99,146],"waves":[31],"has":[32],"therefore":[33],"aroused":[34],"extensive":[35],"attention":[36],"worldwide,":[37],"where":[38],"early":[39],"detection":[40],"atrial":[42],"fibrillation":[43],"(AF)":[44],"is":[45,64,128],"hot":[47],"research":[48],"topic.":[49],"In":[50],"this":[51],"paper,":[52],"two-channel":[54],"convolutional":[55,109],"neural":[56],"network":[57],"combined":[58],"with":[59,153],"augmentation":[62,126],"method":[63,127],"proposed":[65,163],"to":[66,120,130,134],"detect":[67],"AF":[68],"short":[71],"recordings.":[73],"It":[74],"consists":[75],"three":[77,116],"modules,":[78],"first":[80],"module":[81],"denoises":[82],"raw":[84],"signals":[86,91,100,133],"produces":[88],"9-s":[89],"heart":[93],"rate":[94,103],"(HR)":[95],"values.":[96],"Then,":[97],"HR":[102],"values":[104],"are":[105],"fed":[106],"into":[107],"layers":[110,119],"for":[111],"feature":[112],"extraction,":[113],"followed":[114],"by":[115],"fully":[117],"connected":[118],"perform":[121],"classification.":[123],"The":[124],"used":[129],"generate":[131],"synthetic":[132],"enlarge":[135],"training":[137],"set":[138],"increase":[140],"diversity":[142],"signals.":[147],"Validation":[148],"experiments":[149],"comparison":[152],"state-of-the-art":[154],"studies":[155],"demonstrate":[156],"effectiveness":[158],"advantages":[160],"method.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
