{"id":"https://openalex.org/W4214895541","doi":"https://doi.org/10.1109/dese54285.2021.9719358","title":"COVID-19 Electrocardiograms Classification using CNN Models","display_name":"COVID-19 Electrocardiograms Classification using CNN Models","publication_year":2021,"publication_date":"2021-12-07","ids":{"openalex":"https://openalex.org/W4214895541","doi":"https://doi.org/10.1109/dese54285.2021.9719358"},"language":"en","primary_location":{"id":"doi:10.1109/dese54285.2021.9719358","is_oa":true,"landing_page_url":"https://doi.org/10.1109/dese54285.2021.9719358","pdf_url":"https://ieeexplore.ieee.org/ielx7/9718563/9719327/09719358.pdf","source":{"id":"https://openalex.org/S4363608546","display_name":"2021 14th International Conference on Developments in eSystems Engineering (DeSE)","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":"2021 14th International Conference on Developments in eSystems Engineering (DeSE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/9718563/9719327/09719358.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068111858","display_name":"Ismail Shahin","orcid":"https://orcid.org/0000-0001-7856-9342"},"institutions":[{"id":"https://openalex.org/I29891158","display_name":"University of Sharjah","ror":"https://ror.org/00engpz63","country_code":"AE","type":"education","lineage":["https://openalex.org/I29891158"]}],"countries":["AE"],"is_corresponding":true,"raw_author_name":"Ismail Shahin","raw_affiliation_strings":["University of Sharjah,Department of Electrical Eng.,Sharjah,United Arab Emirates","Department of Electrical Eng., University of Sharjah, Sharjah, United Arab Emirates"],"affiliations":[{"raw_affiliation_string":"University of Sharjah,Department of Electrical Eng.,Sharjah,United Arab Emirates","institution_ids":["https://openalex.org/I29891158"]},{"raw_affiliation_string":"Department of Electrical Eng., University of Sharjah, Sharjah, United Arab Emirates","institution_ids":["https://openalex.org/I29891158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002628427","display_name":"Ali Bou Nassif","orcid":"https://orcid.org/0000-0003-1570-0897"},"institutions":[{"id":"https://openalex.org/I29891158","display_name":"University of Sharjah","ror":"https://ror.org/00engpz63","country_code":"AE","type":"education","lineage":["https://openalex.org/I29891158"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Ali Bou Nassif","raw_affiliation_strings":["University of Sharjah,Department of Computer Eng.,Sharjah,United Arab Emirates","Department of Computer Eng., University of Sharjah, Sharjah, United Arab Emirates"],"affiliations":[{"raw_affiliation_string":"University of Sharjah,Department of Computer Eng.,Sharjah,United Arab Emirates","institution_ids":["https://openalex.org/I29891158"]},{"raw_affiliation_string":"Department of Computer Eng., University of Sharjah, Sharjah, United Arab Emirates","institution_ids":["https://openalex.org/I29891158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061542059","display_name":"Mohamed Bader Alsabek","orcid":null},"institutions":[{"id":"https://openalex.org/I29891158","display_name":"University of Sharjah","ror":"https://ror.org/00engpz63","country_code":"AE","type":"education","lineage":["https://openalex.org/I29891158"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Mohamed Bader Alsabek","raw_affiliation_strings":["University of Sharjah,Department of Electrical Eng.,Sharjah,United Arab Emirates","Department of Electrical Eng., University of Sharjah, Sharjah, United Arab Emirates"],"affiliations":[{"raw_affiliation_string":"University of Sharjah,Department of Electrical Eng.,Sharjah,United Arab Emirates","institution_ids":["https://openalex.org/I29891158"]},{"raw_affiliation_string":"Department of Electrical Eng., University of Sharjah, Sharjah, United Arab Emirates","institution_ids":["https://openalex.org/I29891158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068111858"],"corresponding_institution_ids":["https://openalex.org/I29891158"],"apc_list":null,"apc_paid":null,"fwci":3.337,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.93811321,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"448","last_page":"452"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9961000084877014,"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/T10616","display_name":"Smart Agriculture and AI","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.8322914838790894},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"Hyperparameter optimization","score":0.8160367012023926},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7917444705963135},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7676883339881897},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6862737536430359},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6843186020851135},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.543718695640564},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.4617173373699188},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.08966988325119019}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.8322914838790894},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.8160367012023926},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7917444705963135},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7676883339881897},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6862737536430359},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6843186020851135},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.543718695640564},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.4617173373699188},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.08966988325119019},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"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/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dese54285.2021.9719358","is_oa":true,"landing_page_url":"https://doi.org/10.1109/dese54285.2021.9719358","pdf_url":"https://ieeexplore.ieee.org/ielx7/9718563/9719327/09719358.pdf","source":{"id":"https://openalex.org/S4363608546","display_name":"2021 14th International Conference on Developments in eSystems Engineering (DeSE)","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":"2021 14th International Conference on Developments in eSystems Engineering (DeSE)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/dese54285.2021.9719358","is_oa":true,"landing_page_url":"https://doi.org/10.1109/dese54285.2021.9719358","pdf_url":"https://ieeexplore.ieee.org/ielx7/9718563/9719327/09719358.pdf","source":{"id":"https://openalex.org/S4363608546","display_name":"2021 14th International Conference on Developments in eSystems Engineering (DeSE)","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":"2021 14th International Conference on Developments in eSystems Engineering (DeSE)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.5400000214576721}],"awards":[{"id":"https://openalex.org/G7708127700","display_name":null,"funder_award_id":"19020403139","funder_id":"https://openalex.org/F4320316805","funder_display_name":"University of Sharjah"}],"funders":[{"id":"https://openalex.org/F4320316805","display_name":"University of Sharjah","ror":"https://ror.org/00engpz63"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4214895541.pdf","grobid_xml":"https://content.openalex.org/works/W4214895541.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W2125375287","https://openalex.org/W2560103205","https://openalex.org/W2789876780","https://openalex.org/W2795016359","https://openalex.org/W2963400281","https://openalex.org/W2963459241","https://openalex.org/W2995179471","https://openalex.org/W3012303644","https://openalex.org/W3017117984","https://openalex.org/W3082883504","https://openalex.org/W3092534080","https://openalex.org/W3098831650","https://openalex.org/W3101606529","https://openalex.org/W3104903508","https://openalex.org/W3106922609","https://openalex.org/W3128793294","https://openalex.org/W3159847291","https://openalex.org/W3164746735","https://openalex.org/W3166195577","https://openalex.org/W3184998487","https://openalex.org/W3206775376","https://openalex.org/W4245639997","https://openalex.org/W4298168912"],"related_works":["https://openalex.org/W2953665647","https://openalex.org/W4281646320","https://openalex.org/W4205712847","https://openalex.org/W3169687406","https://openalex.org/W4388119537","https://openalex.org/W3014750173","https://openalex.org/W3114025147","https://openalex.org/W4287818966","https://openalex.org/W3192751261","https://openalex.org/W3200811867"],"abstract_inverted_index":{"With":[0],"the":[1,35,44,48,62,68,85,88,95,102,132,135,150,153,157,164,168,174,178,185,201,209],"periodic":[2],"rise":[3],"and":[4,8,31,125,194,211],"fall":[5],"of":[6,22,47,52,70,90,97,134,140,152,167,177,203],"COVID-19":[7,86],"numerous":[9],"countries":[10],"being":[11],"affected":[12],"by":[13,28,66,87,206],"its":[14],"ramifications,":[15],"there":[16,195],"has":[17,25,56,130],"been":[18,26,112],"a":[19,58,77,145,197,213],"tremendous":[20],"amount":[21],"work":[23],"that":[24],"done":[27],"scientists,":[29],"researchers,":[30],"doctors":[32],"all":[33,204],"over":[34],"world.":[36],"Prompt":[37],"intervention":[38],"is":[39,80,161,196],"keenly":[40],"needed":[41],"to":[42,61,82,156,163,173,199],"tackle":[43],"unconscionable":[45],"dissemination":[46],"disease.":[49],"The":[50,127],"implementation":[51],"Artificial":[53],"Intelligence":[54],"(AI)":[55],"made":[57],"significant":[59],"contribution":[60],"digital":[63],"health":[64],"district":[65],"applying":[67],"fundamentals":[69],"deep":[71,98],"learning":[72,99],"algorithms.":[73],"In":[74],"this":[75,115],"study,":[76],"novel":[78],"approach":[79,183],"proposed":[81,116],"automatically":[83],"diagnose":[84],"utilization":[89,176],"Electrocardiogram":[91],"(ECG)":[92],"data":[93],"with":[94,137],"integration":[96],"algorithms,":[100],"specifically":[101],"Convolutional":[103],"Neural":[104],"Network":[105],"(CNN)":[106],"models.":[107],"Several":[108],"CNN":[109],"models":[110,154,205],"have":[111],"utilized":[113,169],"in":[114,149,171],"framework,":[117],"including":[118],"VGG16,":[119],"VGG19,":[120],"InceptionResnetv2,":[121],"Inception":[122],"V3,":[123],"Resnet50,":[124],"Densenet201.":[126],"VGG16":[128,158,186],"model":[129,187],"outperformed":[131],"rest":[133,151],"models,":[136],"an":[138],"accuracy":[139,148,202],"85.92%.":[141],"Our":[142],"results":[143,191],"show":[144],"relatively":[146],"low":[147],"compared":[155],"model,":[159],"which":[160],"due":[162],"small":[165],"size":[166],"dataset,":[170],"addition":[172],"exclusive":[175],"Grid":[179],"search":[180],"hyperparameters":[181,215],"optimization":[182,216],"for":[184],"only.":[188],"Moreover,":[189],"our":[190],"are":[192],"preparatory,":[193],"possibility":[198],"enhance":[200],"further":[207],"expanding":[208],"dataset":[210],"adapting":[212],"suitable":[214],"technique.":[217]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3}],"updated_date":"2026-03-14T08:43:22.919905","created_date":"2025-10-10T00:00:00"}