{"id":"https://openalex.org/W4410281749","doi":"https://doi.org/10.32604/cmc.2025.063562","title":"Advanced ECG Signal Analysis for Cardiovascular Disease Diagnosis Using AVOA Optimized Ensembled Deep Transfer Learning Approaches","display_name":"Advanced ECG Signal Analysis for Cardiovascular Disease Diagnosis Using AVOA Optimized Ensembled Deep Transfer Learning Approaches","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4410281749","doi":"https://doi.org/10.32604/cmc.2025.063562"},"language":"en","primary_location":{"id":"doi:10.32604/cmc.2025.063562","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.063562","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials &amp; Continua","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.32604/cmc.2025.063562","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028025063","display_name":"Amrutanshu Panigrahi","orcid":"https://orcid.org/0000-0002-1077-8532"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Amrutanshu Panigrahi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090980316","display_name":"Abhilash Pati","orcid":"https://orcid.org/0000-0002-3418-4202"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abhilash Pati","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036363361","display_name":"Bibhuprasad Sahu","orcid":"https://orcid.org/0000-0003-3951-9312"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bibhuprasad Sahu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067599702","display_name":"Ashis Pati","orcid":"https://orcid.org/0000-0002-0990-1863"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ashis Kumar Pati","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103195010","display_name":"S. Chowdhury","orcid":"https://orcid.org/0000-0001-5679-3140"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Subrata Chowdhury","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014562556","display_name":"Khursheed Aurangzeb","orcid":"https://orcid.org/0000-0003-3647-8578"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Khursheed Aurangzeb","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055380996","display_name":"Nadeem Javaid","orcid":"https://orcid.org/0000-0003-3777-8249"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nadeem Javaid","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5061765479","display_name":"Sheraz Aslam","orcid":"https://orcid.org/0000-0003-4305-0908"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sheraz Aslam","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5028025063"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.8754,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.96348994,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"84","issue":"1","first_page":"1633","last_page":"1657"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.8618999719619751,"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":0.8618999719619751,"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/transfer-of-learning","display_name":"Transfer of learning","score":0.6120431423187256},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.5453396439552307},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47946393489837646},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4666925072669983},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4657142162322998},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4621591866016388},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.4118679165840149},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.39204859733581543},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.38809293508529663}],"concepts":[{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6120431423187256},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.5453396439552307},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47946393489837646},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4666925072669983},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4657142162322998},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4621591866016388},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.4118679165840149},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.39204859733581543},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.38809293508529663},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32604/cmc.2025.063562","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.063562","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials &amp; Continua","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.32604/cmc.2025.063562","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.063562","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials &amp; Continua","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2910688461","https://openalex.org/W3027572331","https://openalex.org/W3043718943","https://openalex.org/W3109350411","https://openalex.org/W3160084192","https://openalex.org/W3163903840","https://openalex.org/W3211999114","https://openalex.org/W4224235776","https://openalex.org/W4386580330","https://openalex.org/W4388812861","https://openalex.org/W4389198842","https://openalex.org/W4390671374","https://openalex.org/W4390885136","https://openalex.org/W4392214447","https://openalex.org/W4393949220","https://openalex.org/W4396670015","https://openalex.org/W4396785541","https://openalex.org/W4399886025","https://openalex.org/W4400102178","https://openalex.org/W4402435840","https://openalex.org/W4402446139","https://openalex.org/W4402631159","https://openalex.org/W4402847905","https://openalex.org/W4403501512","https://openalex.org/W4403779462","https://openalex.org/W4404115913","https://openalex.org/W4405390724","https://openalex.org/W4405483543"],"related_works":["https://openalex.org/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W2951211570","https://openalex.org/W3192840557","https://openalex.org/W4375928479","https://openalex.org/W3167935049","https://openalex.org/W3023427754","https://openalex.org/W3131673289","https://openalex.org/W4393011546","https://openalex.org/W3198847674"],"abstract_inverted_index":{"The":[0],"integration":[1],"of":[2,134,189],"IoT":[3],"and":[4,14,19,52,95,126,158],"Deep":[5,81],"Learning":[6,83,160],"(DL)":[7],"has":[8],"significantly":[9],"advanced":[10],"real-time":[11],"health":[12,20],"monitoring":[13],"predictive":[15],"maintenance":[16],"in":[17,130,194],"prognostic":[18],"management":[21],"(PHM).":[22],"Electrocardiograms":[23],"(ECGs)":[24],"are":[25,55,163],"widely":[26],"used":[27,164],"for":[28,108,165],"cardiovascular":[29],"disease":[30],"(CVD)":[31],"diagnosis,":[32],"but":[33],"fluctuating":[34],"signal":[35,47],"patterns":[36],"make":[37],"classification":[38,137],"challenging.":[39],"Computer-assisted":[40],"automated":[41],"diagnostic":[42],"tools":[43],"that":[44,128,181],"enhance":[45],"ECG":[46,75],"categorization":[48],"using":[49],"sophisticated":[50],"algorithms":[51],"machine":[53,143],"learning":[54,144],"helping":[56],"healthcare":[57],"practitioners":[58],"manage":[59],"greater":[60],"patient":[61],"populations.":[62],"With":[63],"this":[64],"motivation,":[65],"the":[66,73,97,102,115,182,186],"study":[67],"proposes":[68],"a":[69],"DL":[70],"framework":[71],"leveraging":[72],"PTB-XL":[74],"dataset":[76],"to":[77,92,174],"improve":[78,176],"CVD":[79,196],"diagnosis.":[80,197],"Transfer":[82],"(DTL)":[84],"techniques":[85],"extract":[86],"features,":[87,135],"followed":[88],"by":[89],"feature":[90,109],"fusion":[91],"eliminate":[93],"redundancy":[94],"retain":[96],"most":[98],"informative":[99],"features.":[100],"Utilizing":[101],"African":[103],"Vulture":[104],"Optimization":[105],"Algorithm":[106],"(AVOA)":[107],"selection":[110],"is":[111,172],"more":[112],"effective":[113],"than":[114],"standard":[116],"methods,":[117],"as":[118],"it":[119],"offers":[120],"an":[121,131,169],"ideal":[122],"balance":[123],"between":[124],"exploration":[125],"exploitation":[127],"results":[129,179],"optimal":[132],"set":[133],"improving":[136],"performance":[138],"while":[139],"reducing":[140],"redundancy.":[141],"Various":[142],"classifiers,":[145],"including":[146],"Support":[147],"Vector":[148],"Machine":[149,161],"(SVM),":[150],"eXtreme":[151],"Gradient":[152],"Boosting":[153,156],"(XGBoost),":[154],"Adaptive":[155],"(AdaBoost),":[157],"Extreme":[159],"(ELM),":[162],"further":[166,175],"classification.":[167],"Additionally,":[168],"ensemble":[170],"model":[171,184],"developed":[173],"accuracy.":[177],"Experimental":[178],"demonstrate":[180],"proposed":[183],"achieves":[185],"highest":[187],"accuracy":[188],"96.31%,":[190],"highlighting":[191],"its":[192],"effectiveness":[193],"enhancing":[195]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
