{"id":"https://openalex.org/W4311224102","doi":"https://doi.org/10.1109/icecs202256217.2022.9970944","title":"ECG Signal Classification Using Temporal Convolutional Network","display_name":"ECG Signal Classification Using Temporal Convolutional Network","publication_year":2022,"publication_date":"2022-10-24","ids":{"openalex":"https://openalex.org/W4311224102","doi":"https://doi.org/10.1109/icecs202256217.2022.9970944"},"language":"en","primary_location":{"id":"doi:10.1109/icecs202256217.2022.9970944","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecs202256217.2022.9970944","pdf_url":null,"source":{"id":"https://openalex.org/S4363607963","display_name":"2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS)","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/A5085298361","display_name":"Ali Rida Ismail","orcid":"https://orcid.org/0000-0003-3614-114X"},"institutions":[{"id":"https://openalex.org/I4210147295","display_name":"Institut Jean Lamour","ror":"https://ror.org/05k1smh27","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210128300","https://openalex.org/I4210147295","https://openalex.org/I90183372"]},{"id":"https://openalex.org/I90183372","display_name":"Universit\u00e9 de Lorraine","ror":"https://ror.org/04vfs2w97","country_code":"FR","type":"education","lineage":["https://openalex.org/I90183372"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Ali Rida Ismail","raw_affiliation_strings":["Jean Lamour Institute, CNRS, University of Lorraine,Nancy,France,F-54000"],"affiliations":[{"raw_affiliation_string":"Jean Lamour Institute, CNRS, University of Lorraine,Nancy,France,F-54000","institution_ids":["https://openalex.org/I4210147295","https://openalex.org/I90183372","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014692523","display_name":"Slavi\u0161a Jovanovi\u0107","orcid":"https://orcid.org/0000-0001-6459-7043"},"institutions":[{"id":"https://openalex.org/I90183372","display_name":"Universit\u00e9 de Lorraine","ror":"https://ror.org/04vfs2w97","country_code":"FR","type":"education","lineage":["https://openalex.org/I90183372"]},{"id":"https://openalex.org/I4210147295","display_name":"Institut Jean Lamour","ror":"https://ror.org/05k1smh27","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210128300","https://openalex.org/I4210147295","https://openalex.org/I90183372"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Slavisa Jovanovic","raw_affiliation_strings":["Jean Lamour Institute, CNRS, University of Lorraine,Nancy,France,F-54000"],"affiliations":[{"raw_affiliation_string":"Jean Lamour Institute, CNRS, University of Lorraine,Nancy,France,F-54000","institution_ids":["https://openalex.org/I4210147295","https://openalex.org/I90183372","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080291510","display_name":"Naeem Ramzan","orcid":"https://orcid.org/0000-0002-5088-1462"},"institutions":[{"id":"https://openalex.org/I868834043","display_name":"University of the West of Scotland","ror":"https://ror.org/04w3d2v20","country_code":"GB","type":"education","lineage":["https://openalex.org/I868834043"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Naeem Ramzan","raw_affiliation_strings":["School of Computing, Engineering and Physical Sciences, University of West of Scotland,Paisley,UK,PA1 2BE"],"affiliations":[{"raw_affiliation_string":"School of Computing, Engineering and Physical Sciences, University of West of Scotland,Paisley,UK,PA1 2BE","institution_ids":["https://openalex.org/I868834043"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090445799","display_name":"Hassan Rabah","orcid":"https://orcid.org/0000-0001-6334-3084"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I90183372","display_name":"Universit\u00e9 de Lorraine","ror":"https://ror.org/04vfs2w97","country_code":"FR","type":"education","lineage":["https://openalex.org/I90183372"]},{"id":"https://openalex.org/I4210147295","display_name":"Institut Jean Lamour","ror":"https://ror.org/05k1smh27","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210128300","https://openalex.org/I4210147295","https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hassan Rabah","raw_affiliation_strings":["Jean Lamour Institute, CNRS, University of Lorraine,Nancy,France,F-54000"],"affiliations":[{"raw_affiliation_string":"Jean Lamour Institute, CNRS, University of Lorraine,Nancy,France,F-54000","institution_ids":["https://openalex.org/I4210147295","https://openalex.org/I90183372","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5085298361"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210147295","https://openalex.org/I90183372"],"apc_list":null,"apc_paid":null,"fwci":0.5972,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58108108,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.996399998664856,"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":0.9951000213623047,"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":0.7368553876876831},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5598856210708618},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5046504735946655},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5023593902587891},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4757665991783142},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4630774259567261},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4608914256095886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45930421352386475},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4438525438308716},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35945791006088257},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35360780358314514},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10606279969215393},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09640544652938843}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7368553876876831},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5598856210708618},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5046504735946655},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5023593902587891},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4757665991783142},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4630774259567261},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4608914256095886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45930421352386475},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4438525438308716},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35945791006088257},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35360780358314514},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10606279969215393},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09640544652938843},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icecs202256217.2022.9970944","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecs202256217.2022.9970944","pdf_url":null,"source":{"id":"https://openalex.org/S4363607963","display_name":"2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03981790v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03981790","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS)","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:HAL:hal-04140619v1","is_oa":false,"landing_page_url":"https://hal.univ-lorraine.fr/hal-04140619","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Oct 2022, Glasgow, United Kingdom. pp.1-4, &#x27E8;10.1109/ICECS202256217.2022.9970944&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2005340049","https://openalex.org/W2047098613","https://openalex.org/W2056704807","https://openalex.org/W2164327313","https://openalex.org/W2547199552","https://openalex.org/W2747849569","https://openalex.org/W2754051771","https://openalex.org/W3015226328","https://openalex.org/W3099085560","https://openalex.org/W3173401946","https://openalex.org/W4247150125","https://openalex.org/W6729750654"],"related_works":["https://openalex.org/W2068608913","https://openalex.org/W3124914020","https://openalex.org/W4375867731","https://openalex.org/W2141033859","https://openalex.org/W2077542787","https://openalex.org/W2156434174","https://openalex.org/W2071701083","https://openalex.org/W2383687187","https://openalex.org/W2070401501","https://openalex.org/W2121496884"],"abstract_inverted_index":{"A":[0],"large":[1],"part":[2],"of":[3,22,37,43,73,120,128,135,157,200,206],"the":[4,35,41,71,118,121,154,178,210,214],"world's":[5],"population":[6],"is":[7,26,45,50],"concentrated":[8],"in":[9,30,34,132],"rural":[10],"areas.":[11],"In":[12,142],"such":[13],"territories,":[14],"medical":[15],"facilities":[16],"are":[17,113],"often":[18],"deficient":[19],"or":[20,139],"out":[21,127],"reach.":[23],"The":[24,167],"situation":[25],"not":[27],"much":[28],"better":[29,79],"developed":[31],"countries,":[32],"especially":[33],"case":[36],"heart":[38,59,159],"diseases":[39],"where":[40],"rate":[42],"fatality":[44],"significantly":[46],"high.":[47],"Thus,":[48],"it":[49],"unlikely":[51],"that":[52],"an":[53,191],"electrocardiogram":[54],"(ECG)":[55],"analysis,":[56],"responsible":[57],"for":[58,76,106,153,221],"visualization,":[60],"can":[61],"be":[62,184],"continuously":[63,114],"performed":[64],"without":[65],"specialized":[66],"methods":[67,189],"and":[68,78,94,196],"equipments.":[69],"However,":[70],"use":[72],"remotely-controlled":[74],"technologies":[75,96,112],"continuous":[77],"health":[80],"care":[81],"results":[82,212],"appears":[83],"as":[84],"a":[85,147,172,197,203,218],"promising":[86],"solution":[87],"to":[88,123,183,194],"tackle":[89],"this":[90,143],"problem.":[91],"Indeed,":[92],"sensing":[93],"actuating":[95],"along":[97],"with":[98,190],"big":[99],"data":[100,130],"analysis":[101],"provide":[102],"basic":[103],"building":[104],"blocks":[105],"Remote":[107],"Health":[108],"Monitoring":[109],"(RHM).":[110],"These":[111],"evolving":[115],"starting":[116],"from":[117],"miniaturization":[119],"sensors":[122],"collectively":[124],"making":[125],"sense":[126],"varied":[129],"types":[131],"different":[133],"forms":[134],"structured,":[136],"unstructured,":[137],"video,":[138],"sensory":[140],"data.":[141],"paper,":[144],"we":[145],"propose":[146],"novel":[148],"machine":[149],"learning":[150],"(ML)":[151],"architecture":[152,217],"ECG":[155],"classification":[156],"five":[158],"diseases,":[160],"based":[161],"on":[162,177],"temporal":[163],"convolution":[164,176],"networks":[165],"(TCN).":[166],"proposed":[168,215],"design,":[169],"which":[170],"implements":[171],"diluted":[173],"causal":[174],"one-dimensional":[175],"input":[179],"heartbeat":[180],"signals,":[181],"seems":[182],"outperforming":[185],"all":[186],"existing":[187],"ML":[188],"accuracy":[192],"up":[193],"98.54%":[195],"F2":[198],"score":[199],"94.51%,":[201],"using":[202],"reduced":[204],"number":[205],"parameters":[207],"(10.2k).":[208],"Consequently,":[209],"obtained":[211],"make":[213],"TCN":[216],"good":[219],"candidate":[220],"low":[222],"power":[223],"consumption":[224],"hardware":[225],"platform":[226],"implementation.":[227]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
