{"id":"https://openalex.org/W4406261716","doi":"https://doi.org/10.1109/bibm62325.2024.10822563","title":"CTRhythm: Accurate Atrial Fibrillation Detection from Single-Lead ECG by Convolutional Neural Network and Transformer Integration","display_name":"CTRhythm: Accurate Atrial Fibrillation Detection from Single-Lead ECG by Convolutional Neural Network and Transformer Integration","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406261716","doi":"https://doi.org/10.1109/bibm62325.2024.10822563"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10822563","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822563","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-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/A5110221634","display_name":"Z. Liang","orcid":"https://orcid.org/0009-0005-1184-6049"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhanyu Liang","raw_affiliation_strings":["South China University of Technology,School of Mathematics,Department of Statistics and Financial Mathematics,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology,School of Mathematics,Department of Statistics and Financial Mathematics,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100717812","display_name":"Chen Yang","orcid":"https://orcid.org/0000-0001-9820-0833"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210097354","display_name":"Sun Yat-sen Memorial Hospital","ror":"https://ror.org/01px77p81","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210097354"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Yang","raw_affiliation_strings":["Yat-Sen University,Sun Yat-Sen Memorial Hospital of Sun,Department of Cardiology,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"Yat-Sen University,Sun Yat-Sen Memorial Hospital of Sun,Department of Cardiology,Guangzhou,China","institution_ids":["https://openalex.org/I4210097354","https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026685963","display_name":"Zhengyang Yu","orcid":"https://orcid.org/0009-0006-0777-4043"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengyang Yu","raw_affiliation_strings":["South China University of Technology,School of Mathematics,Department of Statistics and Financial Mathematics,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology,School of Mathematics,Department of Statistics and Financial Mathematics,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006145836","display_name":"Yue Fu","orcid":"https://orcid.org/0000-0002-0729-2486"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinmingren Fu","raw_affiliation_strings":["South China University of Technology,School of Mathematics,Department of Statistics and Financial Mathematics,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology,School of Mathematics,Department of Statistics and Financial Mathematics,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101903842","display_name":"Bing Ren","orcid":"https://orcid.org/0000-0003-2374-7775"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bozhen Ren","raw_affiliation_strings":["South China University of Technology,School of Mathematics,Department of Statistics and Financial Mathematics,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology,School of Mathematics,Department of Statistics and Financial Mathematics,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109998384","display_name":"Maohuan Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210097354","display_name":"Sun Yat-sen Memorial Hospital","ror":"https://ror.org/01px77p81","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210097354"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maohuan Lin","raw_affiliation_strings":["Yat-Sen University,Sun Yat-Sen Memorial Hospital of Sun,Department of Cardiology,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"Yat-Sen University,Sun Yat-Sen Memorial Hospital of Sun,Department of Cardiology,Guangzhou,China","institution_ids":["https://openalex.org/I4210097354","https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006560994","display_name":"Qingjiao Li","orcid":"https://orcid.org/0000-0002-7816-123X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4387154481","display_name":"Eighth Affiliated Hospital of Sun Yat-sen University","ror":"https://ror.org/00xjwyj62","country_code":null,"type":"healthcare","lineage":["https://openalex.org/I4387154481"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingjiao Li","raw_affiliation_strings":["Sun Yat-Sen University,The Eighth Affiliated Hospital,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University,The Eighth Affiliated Hospital,Shenzhen,China","institution_ids":["https://openalex.org/I4387154481","https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100419194","display_name":"Xuemei Liu","orcid":"https://orcid.org/0000-0001-5852-6134"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuemei Liu","raw_affiliation_strings":["South China University of Technology,School of Physics and Optoelectronics,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology,School of Physics and Optoelectronics,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102850136","display_name":"Yangxin Chen","orcid":"https://orcid.org/0000-0003-2051-9320"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210097354","display_name":"Sun Yat-sen Memorial Hospital","ror":"https://ror.org/01px77p81","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210097354"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangxin Chen","raw_affiliation_strings":["Yat-Sen University,Sun Yat-Sen Memorial Hospital of Sun,Department of Cardiology,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"Yat-Sen University,Sun Yat-Sen Memorial Hospital of Sun,Department of Cardiology,Guangzhou,China","institution_ids":["https://openalex.org/I4210097354","https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":null,"display_name":"Li C. Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li C. Xia","raw_affiliation_strings":["South China University of Technology,School of Mathematics,Department of Statistics and Financial Mathematics,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology,School of Mathematics,Department of Statistics and Financial Mathematics,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5110221634"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":1.2201,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.83211441,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4452","last_page":"4458"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9258999824523926,"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":0.9258999824523926,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6944555044174194},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5994423031806946},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5841180086135864},{"id":"https://openalex.org/keywords/atrial-fibrillation","display_name":"Atrial fibrillation","score":0.5668103694915771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4362748861312866},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36094164848327637},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.17414361238479614},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17342305183410645},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14472836256027222},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.09203916788101196},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.08615392446517944}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6944555044174194},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5994423031806946},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5841180086135864},{"id":"https://openalex.org/C2779161974","wikidata":"https://www.wikidata.org/wiki/Q815819","display_name":"Atrial fibrillation","level":2,"score":0.5668103694915771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4362748861312866},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36094164848327637},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.17414361238479614},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17342305183410645},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14472836256027222},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.09203916788101196},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.08615392446517944}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm62325.2024.10822563","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822563","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335480","display_name":"Guangzhou Municipal Science and Technology Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W569478347","https://openalex.org/W2064675550","https://openalex.org/W2194775991","https://openalex.org/W2560674852","https://openalex.org/W2771148491","https://openalex.org/W2791945458","https://openalex.org/W2794550444","https://openalex.org/W2794819237","https://openalex.org/W2795086889","https://openalex.org/W2795115089","https://openalex.org/W2887171948","https://openalex.org/W2888456553","https://openalex.org/W2896457183","https://openalex.org/W2902644322","https://openalex.org/W2953193031","https://openalex.org/W2963478701","https://openalex.org/W2994720754","https://openalex.org/W3008167346","https://openalex.org/W3022945091","https://openalex.org/W3033966907","https://openalex.org/W3035422918","https://openalex.org/W3035524453","https://openalex.org/W3084949122","https://openalex.org/W3094502228","https://openalex.org/W3127657277","https://openalex.org/W3135128169","https://openalex.org/W3175649752","https://openalex.org/W4206472861","https://openalex.org/W4212792396","https://openalex.org/W4213451870","https://openalex.org/W4226254398","https://openalex.org/W4283732995","https://openalex.org/W4285740536","https://openalex.org/W4296550854","https://openalex.org/W4313439128","https://openalex.org/W4327811420","https://openalex.org/W4381801958","https://openalex.org/W4385245566","https://openalex.org/W4388557818","https://openalex.org/W6637242042","https://openalex.org/W6638444622","https://openalex.org/W6638667902","https://openalex.org/W6757817989","https://openalex.org/W6780226713","https://openalex.org/W6784333009"],"related_works":["https://openalex.org/W2916669046","https://openalex.org/W2802841177","https://openalex.org/W2047263140","https://openalex.org/W2518330835","https://openalex.org/W2049139474","https://openalex.org/W2404845223","https://openalex.org/W2120413119","https://openalex.org/W2534666156","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Atrial":[0],"Fibrillation":[1],"(AF)":[2],"is":[3,18,157],"a":[4,86,103],"common":[5],"supraventricular":[6],"arrhythmia":[7],"that":[8],"affects":[9],"about":[10],"30":[11],"million":[12],"people":[13],"globally.":[14],"Electrocardiogram":[15],"(ECG)":[16],"analysis":[17],"the":[19,34,129,139],"primary":[20],"diagnostic":[21],"approach.":[22],"The":[23],"widespread":[24],"adoption":[25],"of":[26,36,121],"wearable":[27],"devices":[28],"for":[29,40,50,89],"heart":[30,74],"rhythm":[31,92],"monitoring":[32],"prompted":[33],"development":[35],"AF":[37,51],"detection":[38,52],"models":[39,127],"single-lead":[41],"ECGs,":[42],"benefitting":[43],"real-time":[44],"early":[45],"diagnosis.":[46],"Current":[47],"state-of-the-art":[48],"methods":[49],"are":[53],"convolutional":[54,59],"neural":[55,61],"network":[56,62],"(CNN)":[57],"and":[58,111],"recurrent":[60],"(CRNN)":[63],"based":[64],"models,":[65],"which":[66,99],"only":[67],"focus":[68],"on":[69,128],"capturing":[70],"local":[71,110],"patterns":[72,113],"despite":[73],"rhythms":[75],"exhibiting":[76],"rich":[77],"long-range":[78],"dependencies.":[79],"To":[80],"address":[81],"this":[82],"limitation,":[83],"we":[84],"propose":[85],"novel":[87],"method":[88],"singlelead":[90],"ECG":[91],"classification,":[93],"termed":[94],"CNN-Transformer":[95],"Rhythm":[96],"Classifier":[97],"(CTRhythm),":[98],"integrates":[100],"CNN":[101],"with":[102,135],"Transformer":[104],"encoder":[105],"to":[106,143],"effectively":[107],"capture":[108],"both":[109],"global":[112],"effectively.":[114],"CTRhythm":[115,150,156],"achieved":[116],"an":[117],"overall":[118,140],"F1":[119,141],"score":[120,142],"0.831,":[122],"outperforming":[123],"baseline":[124],"deep":[125],"learning":[126],"gold-standard":[130],"CINC2017":[131],"dataset.":[132],"Furthermore,":[133],"pretraining":[134],"additional":[136],"data":[137],"improved":[138],"0.840.":[144],"In":[145],"two":[146],"external":[147],"validation":[148],"datasets,":[149],"showed":[151],"its":[152],"strong":[153],"generalization":[154],"capabilities.":[155],"freely":[158],"available":[159],"at":[160],"https://github.com/labxscut/CTRhythm.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2025-10-10T00:00:00"}