{"id":"https://openalex.org/W4205562278","doi":"https://doi.org/10.1109/tim.2021.3135330","title":"A Novel Interpretable Method Based on Dual-Level Attentional Deep Neural Network for Actual Multilabel Arrhythmia Detection","display_name":"A Novel Interpretable Method Based on Dual-Level Attentional Deep Neural Network for Actual Multilabel Arrhythmia Detection","publication_year":2021,"publication_date":"2021-12-13","ids":{"openalex":"https://openalex.org/W4205562278","doi":"https://doi.org/10.1109/tim.2021.3135330"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2021.3135330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3135330","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Transactions on Instrumentation and Measurement","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/A5021632916","display_name":"Yanrui Jin","orcid":"https://orcid.org/0000-0001-9489-5447"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanrui Jin","raw_affiliation_strings":["MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China","School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-9489-5447","affiliations":[{"raw_affiliation_string":"MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101624058","display_name":"Jinlei Liu","orcid":"https://orcid.org/0000-0002-7581-3941"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinlei Liu","raw_affiliation_strings":["MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China","School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7581-3941","affiliations":[{"raw_affiliation_string":"MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100700939","display_name":"Yunqing Liu","orcid":"https://orcid.org/0000-0002-4518-1306"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunqing Liu","raw_affiliation_strings":["MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China","School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-4518-1306","affiliations":[{"raw_affiliation_string":"MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021977927","display_name":"Chengjin Qin","orcid":"https://orcid.org/0000-0002-5200-3241"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengjin Qin","raw_affiliation_strings":["MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China","School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-5200-3241","affiliations":[{"raw_affiliation_string":"MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114030349","display_name":"Zhiyuan Li","orcid":"https://orcid.org/0000-0002-8225-544X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyuan Li","raw_affiliation_strings":["MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China","School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-1323-6795","affiliations":[{"raw_affiliation_string":"MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051713786","display_name":"Dengyu Xiao","orcid":"https://orcid.org/0000-0002-2363-6867"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dengyu Xiao","raw_affiliation_strings":["MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China","School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-2363-6867","affiliations":[{"raw_affiliation_string":"MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100762697","display_name":"Liqun Zhao","orcid":"https://orcid.org/0000-0001-7648-7706"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I4210135742","display_name":"Shanghai First People's Hospital","ror":"https://ror.org/04a46mh28","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210135742"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liqun Zhao","raw_affiliation_strings":["Shanghai First People\u2019s Hospital, Shanghai Jiao Tong University, Shanghai, China","Shanghai First People's Hospital, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7648-7706","affiliations":[{"raw_affiliation_string":"Shanghai First People\u2019s Hospital, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I4210135742","https://openalex.org/I183067930"]},{"raw_affiliation_string":"Shanghai First People's Hospital, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I4210135742","https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108555426","display_name":"Chengliang Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengliang Liu","raw_affiliation_strings":["MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China","School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-6754-258X","affiliations":[{"raw_affiliation_string":"MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5021632916"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":6.2752,"has_fulltext":false,"cited_by_count":53,"citation_normalized_percentile":{"value":0.97530326,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"71","issue":null,"first_page":"1","last_page":"11"},"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":0.9932000041007996,"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/T10217","display_name":"Cardiac electrophysiology and arrhythmias","score":0.9927999973297119,"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/computer-science","display_name":"Computer science","score":0.7260441184043884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7023789286613464},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.624008297920227},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6012170314788818},{"id":"https://openalex.org/keywords/cardiac-arrhythmia","display_name":"Cardiac arrhythmia","score":0.5867069363594055},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5194529891014099},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45662036538124084},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45486846566200256},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.43215233087539673},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.41506367921829224}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7260441184043884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7023789286613464},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.624008297920227},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6012170314788818},{"id":"https://openalex.org/C2988455589","wikidata":"https://www.wikidata.org/wiki/Q189331","display_name":"Cardiac arrhythmia","level":3,"score":0.5867069363594055},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5194529891014099},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45662036538124084},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45486846566200256},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.43215233087539673},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.41506367921829224},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C2779161974","wikidata":"https://www.wikidata.org/wiki/Q815819","display_name":"Atrial fibrillation","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2021.3135330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3135330","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Transactions on Instrumentation and Measurement","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":0.4300000071525574}],"awards":[{"id":"https://openalex.org/G3249978607","display_name":null,"funder_award_id":"2018YFB1307005","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1507701463","https://openalex.org/W2063923412","https://openalex.org/W2070446041","https://openalex.org/W2084073756","https://openalex.org/W2095409369","https://openalex.org/W2097000718","https://openalex.org/W2101926813","https://openalex.org/W2105482032","https://openalex.org/W2108773319","https://openalex.org/W2112796928","https://openalex.org/W2114842946","https://openalex.org/W2127854713","https://openalex.org/W2169565724","https://openalex.org/W2170605288","https://openalex.org/W2338162851","https://openalex.org/W2568858846","https://openalex.org/W2605056515","https://openalex.org/W2770980084","https://openalex.org/W2800884944","https://openalex.org/W2805227459","https://openalex.org/W2806806521","https://openalex.org/W2888456553","https://openalex.org/W2896050315","https://openalex.org/W2942497026","https://openalex.org/W2965435808","https://openalex.org/W2978776404","https://openalex.org/W2978910279","https://openalex.org/W2982220924","https://openalex.org/W2987769531","https://openalex.org/W2991764618","https://openalex.org/W2997578981","https://openalex.org/W3035588524","https://openalex.org/W3090982778","https://openalex.org/W3093756969","https://openalex.org/W3101546351","https://openalex.org/W3113968199","https://openalex.org/W3130913497","https://openalex.org/W3147227983","https://openalex.org/W3152528299","https://openalex.org/W3153843997","https://openalex.org/W3160666973","https://openalex.org/W3162426603","https://openalex.org/W3168861255","https://openalex.org/W3195996253","https://openalex.org/W3197949786","https://openalex.org/W4320406025"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W2807586294","https://openalex.org/W4391114540"],"abstract_inverted_index":{"Arrhythmia":[0,148],"accounts":[1],"for":[2,87,115,203],"more":[3,72,129],"than":[4,73],"80%":[5],"of":[6],"sudden":[7],"cardiac":[8],"death,":[9],"and":[10,50,84,110,118,142,150,174],"its":[11],"incidence":[12],"rate":[13],"has":[14,200],"increased":[15],"rapidly":[16],"recently.":[17],"Nowadays,":[18],"many":[19,65],"studies":[20],"have":[21,71],"applied":[22],"artificial":[23],"intelligence":[24],"(AI)":[25],"methods":[26,57],"to":[27,41,139,160,195],"arrhythmia":[28,55,75],"detection.":[29],"Deep":[30],"learning":[31],"approaches":[32],"can":[33,168],"improve":[34,169],"model":[35,86,127],"performance":[36],"but":[37],"lack":[38],"the":[39,43,46,122,126,146,151,170,175,185,191],"capability":[40],"mine":[42],"relationship":[44],"between":[45],"electrocardiogram":[47],"(ECG)":[48],"samples":[49],"final":[51],"results.":[52],"Furthermore,":[53],"most":[54],"diagnosis":[56],"aim":[58],"at":[59],"only":[60],"multiclassification":[61],"problems.":[62,144],"However,":[63],"in":[64,206],"cases,":[66],"an":[67,82],"ECG":[68,89],"recording":[69],"may":[70],"one":[74],"disease.":[76],"In":[77,131],"this":[78],"article,":[79],"we":[80,133],"develop":[81],"accurate":[83],"interpretable":[85],"multilabel":[88,137,141],"signals,":[90],"which":[91],"is":[92],"called":[93],"dual-level":[94],"attentional":[95],"convolutional":[96],"long":[97,106],"short-term":[98,107],"memory":[99,108],"neural":[100],"network":[101],"(DLA-CLSTM).":[102],"Convolutional":[103],"layers,":[104,109],"bidirectional":[105],"attention":[111,123],"mechanisms":[112],"are":[113,158],"used":[114],"extracting":[116],"beat-":[117],"rhythm-level":[119],"information.":[120],"Notably,":[121],"mechanism":[124],"helps":[125],"be":[128],"interpretable.":[130],"addition,":[132],"design":[134],"a":[135],"weighted":[136],"classifier":[138],"address":[140],"imbalance":[143],"Finally,":[145],"MIT-BIH":[147],"Database":[149],"1st":[152],"China":[153],"Physiological":[154],"Signal":[155],"Challenge":[156],"dataset":[157],"utilized":[159],"evaluate":[161],"DLA-CLSTM.":[162],"Compared":[163],"with":[164],"existing":[165],"methods,":[166],"DLA-CLSTM":[167,189,199],"accuracy":[171],"by":[172,177,188],"22.50%":[173],"F1-macro":[176],"20.51%":[178],"on":[179],"average.":[180],"Further":[181],"analysis":[182],"shows":[183],"that":[184],"areas":[186],"focused":[187],"match":[190],"clinical":[192],"judgment":[193],"basis":[194],"some":[196],"extent.":[197],"Collectively,":[198],"good":[201],"potential":[202],"assisting":[204],"clinicians":[205],"real":[207],"applications.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":12}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
