{"id":"https://openalex.org/W3037889795","doi":"https://doi.org/10.1109/wcncw48565.2020.9124860","title":"Multi-Channel Lightweight Convolutional Neural Network for Remote Myocardial Infarction Monitoring","display_name":"Multi-Channel Lightweight Convolutional Neural Network for Remote Myocardial Infarction Monitoring","publication_year":2020,"publication_date":"2020-04-01","ids":{"openalex":"https://openalex.org/W3037889795","doi":"https://doi.org/10.1109/wcncw48565.2020.9124860","mag":"3037889795"},"language":"en","primary_location":{"id":"doi:10.1109/wcncw48565.2020.9124860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcncw48565.2020.9124860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","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/A5072419341","display_name":"Yangjie Cao","orcid":"https://orcid.org/0000-0002-1170-4340"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangjie Cao","raw_affiliation_strings":["School of Software, Zhengzhou University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023583572","display_name":"Tingting Wei","orcid":"https://orcid.org/0000-0001-5386-2577"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Wei","raw_affiliation_strings":["School of Software, Zhengzhou University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068179622","display_name":"Nan Lin","orcid":"https://orcid.org/0000-0003-1324-1607"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Lin","raw_affiliation_strings":["School of Software, Zhengzhou University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100366368","display_name":"Di Zhang","orcid":"https://orcid.org/0000-0001-7190-1621"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Zhang","raw_affiliation_strings":["School of Information Engineering, Zhengzhou University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076776322","display_name":"Joel J. P. C. Rodrigues","orcid":"https://orcid.org/0000-0001-8657-3800"},"institutions":[{"id":"https://openalex.org/I3121799822","display_name":"Universidade Federal do Piau\u00ed","ror":"https://ror.org/00kwnx126","country_code":"BR","type":"education","lineage":["https://openalex.org/I3121799822"]},{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]}],"countries":["BR","PT"],"is_corresponding":false,"raw_author_name":"Joel J. P. C. Rodrigues","raw_affiliation_strings":["Federal University of Piaui, Brazil","Instituto de Telecomunica\u00e7\u00f5es, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Piaui, Brazil","institution_ids":["https://openalex.org/I3121799822"]},{"raw_affiliation_string":"Instituto de Telecomunica\u00e7\u00f5es, Portugal","institution_ids":["https://openalex.org/I4210120471"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5392,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.85000202,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":1.0,"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":1.0,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9722999930381775,"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"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9599999785423279,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8346167206764221},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7801215052604675},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5149620175361633},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4930374324321747},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4166156053543091},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41557618975639343},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.4134681522846222},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.35238200426101685},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3122090697288513},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2208993136882782}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8346167206764221},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7801215052604675},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5149620175361633},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4930374324321747},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4166156053543091},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41557618975639343},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4134681522846222},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.35238200426101685},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3122090697288513},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2208993136882782},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcncw48565.2020.9124860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcncw48565.2020.9124860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W89412797","https://openalex.org/W1972003923","https://openalex.org/W1984595010","https://openalex.org/W2037227137","https://openalex.org/W2041110545","https://openalex.org/W2047922146","https://openalex.org/W2075260006","https://openalex.org/W2101234009","https://openalex.org/W2103308415","https://openalex.org/W2149582192","https://openalex.org/W2160815625","https://openalex.org/W2162800060","https://openalex.org/W2164882523","https://openalex.org/W2514274290","https://openalex.org/W2517526892","https://openalex.org/W2731010577","https://openalex.org/W2762957076","https://openalex.org/W2799061466","https://openalex.org/W2799244375","https://openalex.org/W2953384591","https://openalex.org/W3128722454","https://openalex.org/W3140799612","https://openalex.org/W4211104669","https://openalex.org/W4285719527","https://openalex.org/W6603686539","https://openalex.org/W6643309816","https://openalex.org/W6716038589","https://openalex.org/W6734591494"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W3034529322","https://openalex.org/W2113597336","https://openalex.org/W2155505549","https://openalex.org/W2115913271","https://openalex.org/W2357479218","https://openalex.org/W1819546284","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W2964954556"],"abstract_inverted_index":{"Remote":[0],"Myocardial":[1],"Infarction":[2],"(RMI)":[3],"monitoring":[4],"uses":[5],"electronic":[6],"devices":[7],"to":[8,25,52,67,76,121],"detect":[9,53],"the":[10,15,27,35,54,62,78,95,100,123,132,147],"electrocardiogram":[11,42],"changes":[12],"and":[13,50,73,109],"inform":[14],"doctor":[16],"in":[17,94,105],"emergency":[18],"conditions,":[19],"which":[20,40,98],"is":[21,155],"an":[22],"effective":[23],"solution":[24],"save":[26],"patient's":[28],"life.":[29],"In":[30,84],"this":[31],"paper,":[32],"we":[33,116],"propose":[34],"Multi-Channel":[36],"Lightweight":[37],"CNN":[38],"(MCL-CNN),":[39],"combines":[41],"signals":[43],"from":[44,146],"four":[45],"leads":[46],"(v2,":[47],"v3,":[48],"v5":[49],"aVL)":[51],"Anterior":[55],"MI":[56],"(AMI).":[57],"Its":[58],"multi-channel":[59],"design":[60],"allows":[61],"convolution":[63],"of":[64,70,125],"each":[65,71],"lead":[66],"be":[68],"independent":[69],"other,":[72],"allowing":[74],"them":[75],"find":[77],"filter":[79],"that":[80,152],"best":[81],"suits":[82],"them.":[83],"addition,":[85],"constructing":[86],"a":[87],"lightweight":[88],"network":[89,101],"using":[90,141],"different":[91],"convolutional":[92],"combinations":[93],"MCL-CNN":[96,133],"model,":[97],"makes":[99],"has":[102],"certain":[103],"advantages":[104],"computing":[106],"runtime":[107],"parameters":[108],"more":[110],"suitable":[111,134],"for":[112,135],"mobile":[113],"devices.":[114],"Meanwhile,":[115],"use":[117],"balanced":[118],"cross":[119],"entropy":[120],"solve":[122],"problem":[124],"dataset":[126],"class":[127],"imbalance.":[128],"These":[129],"strategies":[130],"make":[131],"multi-lead":[136],"ECG":[137,143],"processing.":[138],"Experimental":[139],"results":[140],"public":[142],"datasets":[144],"obtained":[145],"PTB":[148],"diagnostic":[149],"database":[150],"demonstrate":[151],"MCL-CNN's":[153],"accuracy":[154],"96.65%.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
