{"id":"https://openalex.org/W2767583913","doi":"https://doi.org/10.1109/jbhi.2017.2771768","title":"Real-Time Multilead Convolutional Neural Network for Myocardial Infarction Detection","display_name":"Real-Time Multilead Convolutional Neural Network for Myocardial Infarction Detection","publication_year":2017,"publication_date":"2017-11-10","ids":{"openalex":"https://openalex.org/W2767583913","doi":"https://doi.org/10.1109/jbhi.2017.2771768","mag":"2767583913","pmid":"https://pubmed.ncbi.nlm.nih.gov/29990164"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2017.2771768","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2017.2771768","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/A5062915713","display_name":"Wenhan Liu","orcid":"https://orcid.org/0000-0002-0920-6908"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenhan Liu","raw_affiliation_strings":["School of Physics and Technology, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Technology, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063898111","display_name":"Mengxin Zhang","orcid":"https://orcid.org/0000-0002-9514-1943"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengxin Zhang","raw_affiliation_strings":["School of Physics and Technology, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Technology, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084880596","display_name":"Yidan Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yidan Zhang","raw_affiliation_strings":["School of Physics and Technology, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Technology, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100527213","display_name":"Yuan Liao","orcid":"https://orcid.org/0000-0001-6069-4284"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Liao","raw_affiliation_strings":["School of Physics and Technology, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Technology, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055120491","display_name":"Qijun Huang","orcid":"https://orcid.org/0000-0001-9679-5191"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qijun Huang","raw_affiliation_strings":["School of Physics and Technology, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Technology, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102006180","display_name":"Sheng Chang","orcid":"https://orcid.org/0000-0003-4875-5501"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Chang","raw_affiliation_strings":["School of Physics and Technology, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Technology, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100446023","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0001-5279-3645"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["School of Physics and Technology, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Technology, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101838024","display_name":"Jin He","orcid":"https://orcid.org/0000-0002-8747-0472"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin He","raw_affiliation_strings":["School of Physics and Technology, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Technology, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5062915713"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":7.5013,"has_fulltext":false,"cited_by_count":183,"citation_normalized_percentile":{"value":0.98080561,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"22","issue":"5","first_page":"1434","last_page":"1444"},"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9783999919891357,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8530954718589783},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7329137921333313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6662919521331787},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6417949199676514},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6287618279457092},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5772978067398071},{"id":"https://openalex.org/keywords/heartbeat","display_name":"Heartbeat","score":0.5675106644630432},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.41840100288391113},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4073207378387451}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8530954718589783},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7329137921333313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6662919521331787},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6417949199676514},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6287618279457092},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5772978067398071},{"id":"https://openalex.org/C13852961","wikidata":"https://www.wikidata.org/wiki/Q17021880","display_name":"Heartbeat","level":2,"score":0.5675106644630432},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.41840100288391113},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4073207378387451},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"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":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":false},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":false},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000503","qualifier_name":"physiopathology","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":"D009203","descriptor_name":"Myocardial Infarction","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D009203","descriptor_name":"Myocardial Infarction","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D009203","descriptor_name":"Myocardial Infarction","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2017.2771768","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2017.2771768","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:29990164","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29990164","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/G2753288013","display_name":null,"funder_award_id":"61574102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5037999062","display_name":null,"funder_award_id":"61404094","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W633594338","https://openalex.org/W1490338671","https://openalex.org/W1524680991","https://openalex.org/W1569512666","https://openalex.org/W1967608150","https://openalex.org/W1968339050","https://openalex.org/W1972003923","https://openalex.org/W1978832835","https://openalex.org/W2000160965","https://openalex.org/W2001908587","https://openalex.org/W2028501442","https://openalex.org/W2034694726","https://openalex.org/W2038421420","https://openalex.org/W2047181473","https://openalex.org/W2050123950","https://openalex.org/W2052873190","https://openalex.org/W2076063813","https://openalex.org/W2077430201","https://openalex.org/W2099619765","https://openalex.org/W2109255472","https://openalex.org/W2112796928","https://openalex.org/W2120588861","https://openalex.org/W2121854806","https://openalex.org/W2157500613","https://openalex.org/W2157643550","https://openalex.org/W2157743321","https://openalex.org/W2162800060","https://openalex.org/W2162915993","https://openalex.org/W2163605009","https://openalex.org/W2168791203","https://openalex.org/W2291961022","https://openalex.org/W2344907521","https://openalex.org/W2465131110","https://openalex.org/W2497439958","https://openalex.org/W2523933401","https://openalex.org/W2524637524","https://openalex.org/W2561981131","https://openalex.org/W2563686712","https://openalex.org/W2575820504","https://openalex.org/W2594804082","https://openalex.org/W2618530766","https://openalex.org/W2731010577","https://openalex.org/W2745440433","https://openalex.org/W2798919688","https://openalex.org/W2915142973","https://openalex.org/W2919115771","https://openalex.org/W4211104669","https://openalex.org/W4233343814","https://openalex.org/W4292856638","https://openalex.org/W6631498818","https://openalex.org/W6683118629","https://openalex.org/W6740609221"],"related_works":["https://openalex.org/W4385543909","https://openalex.org/W3039320222","https://openalex.org/W3199640442","https://openalex.org/W1898280036","https://openalex.org/W2044754775","https://openalex.org/W2953234277","https://openalex.org/W2382278803","https://openalex.org/W2810679507","https://openalex.org/W2964954556","https://openalex.org/W3019910406"],"abstract_inverted_index":{"In":[0,94],"this":[1,198],"paper,":[2],"a":[3,8,53],"novel":[4,54],"algorithm":[5,26,150],"based":[6],"on":[7,174],"convolutional":[9,61],"neural":[10],"network":[11],"(CNN)":[12],"is":[13,30,40,151,155,160],"proposed":[14],"for":[15,42,128,185,203],"myocardial":[16],"infarction":[17],"detection":[18],"via":[19],"multilead":[20,28,34,129],"electrocardiogram":[21],"(ECG).":[22],"A":[23],"beat":[24],"segmentation":[25],"utilizing":[27],"ECG":[29,130,137],"designed":[31],"to":[32,117],"obtain":[33],"beats,":[35],"and":[36,63,157,177,191],"fuzzy":[37],"information":[38],"granulation":[39],"adopted":[41],"preprocessing.":[43],"Then,":[44],"the":[45,76,88,101,106,114,125,140,153,158,163],"beats":[46],"are":[47,144,172,188],"input":[48],"into":[49],"our":[50,134,149],"multilead-CNN":[51],"(ML-CNN),":[52],"model":[55],"that":[56,197],"includes":[57],"sub":[58,96],"two-dimensional":[59],"(2-D)":[60],"layers":[62],"lead":[64],"asymmetric":[65],"pooling":[66],"(LAP)":[67],"layers.":[68],"As":[69],"different":[70,85,115],"leads":[71,116],"represent":[72],"various":[73],"angles":[74],"of":[75,84,91,104,148],"same":[77],"heart,":[78],"LAP":[79],"can":[80,99],"capture":[81],"multiscale":[82],"features":[83],"leads,":[86],"exploiting":[87],"individual":[89],"characteristics":[90],"each":[92,186],"lead.":[93],"addition,":[95],"2-D":[97],"convolution":[98],"utilize":[100],"holistic":[102],"characters":[103],"all":[105],"leads.":[107],"It":[108],"uses":[109],"1-D":[110],"kernels":[111],"shared":[112],"among":[113],"generate":[118],"local":[119],"optimal":[120],"features.":[121],"These":[122],"strategies":[123],"make":[124],"ML-CNN":[126],"suitable":[127],"processing.":[131],"To":[132],"evaluate":[133],"algorithm,":[135],"actual":[136],"datasets":[138],"from":[139],"PTB":[141],"diagnostic":[142],"database":[143],"used.":[145],"The":[146,181],"sensitivity":[147],"95.40%,":[152],"specificity":[154],"97.37%,":[156],"accuracy":[159],"96.00%":[161],"in":[162],"experiments.":[164],"Targeting":[165],"lightweight":[166],"mobile":[167,204],"healthcare":[168,205],"applications,":[169],"real-time":[170],"analyses":[171],"performed":[173],"both":[175],"MATLAB":[176],"ARM":[178],"Cortex-A9":[179],"platforms.":[180],"average":[182],"processing":[183],"times":[184],"heartbeat":[187],"approximately":[189],"17.10":[190],"26.75":[192],"ms,":[193],"respectively,":[194],"which":[195],"indicate":[196],"method":[199],"has":[200],"good":[201],"potential":[202],"applications.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":27},{"year":2023,"cited_by_count":29},{"year":2022,"cited_by_count":27},{"year":2021,"cited_by_count":36},{"year":2020,"cited_by_count":22},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":4}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}