{"id":"https://openalex.org/W4408564985","doi":"https://doi.org/10.1109/icdmw65004.2024.00056","title":"CardioNetFusion: A Deep Learning and Explainable AI Integrated System for Cardiovascular Disease Detection","display_name":"CardioNetFusion: A Deep Learning and Explainable AI Integrated System for Cardiovascular Disease Detection","publication_year":2024,"publication_date":"2024-12-09","ids":{"openalex":"https://openalex.org/W4408564985","doi":"https://doi.org/10.1109/icdmw65004.2024.00056"},"language":"en","primary_location":{"id":"doi:10.1109/icdmw65004.2024.00056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw65004.2024.00056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Data Mining Workshops (ICDMW)","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/A5010314794","display_name":"Gunasekaran Raja","orcid":"https://orcid.org/0000-0002-2253-7648"},"institutions":[{"id":"https://openalex.org/I33585257","display_name":"Anna University, Chennai","ror":"https://ror.org/01qhf1r47","country_code":"IN","type":"education","lineage":["https://openalex.org/I33585257"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Gunasekaran Raja","raw_affiliation_strings":["Anna University,NGNLab,Department of Computer Technology,Chennai,India"],"affiliations":[{"raw_affiliation_string":"Anna University,NGNLab,Department of Computer Technology,Chennai,India","institution_ids":["https://openalex.org/I33585257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032699673","display_name":"Selvam Essaky","orcid":"https://orcid.org/0000-0002-2676-7280"},"institutions":[{"id":"https://openalex.org/I33585257","display_name":"Anna University, Chennai","ror":"https://ror.org/01qhf1r47","country_code":"IN","type":"education","lineage":["https://openalex.org/I33585257"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Selvam Essaky","raw_affiliation_strings":["Anna University,NGNLab,Department of Computer Technology,Chennai,India"],"affiliations":[{"raw_affiliation_string":"Anna University,NGNLab,Department of Computer Technology,Chennai,India","institution_ids":["https://openalex.org/I33585257"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Surya Raj Muthu","orcid":null},"institutions":[{"id":"https://openalex.org/I33585257","display_name":"Anna University, Chennai","ror":"https://ror.org/01qhf1r47","country_code":"IN","type":"education","lineage":["https://openalex.org/I33585257"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Surya Raj Muthu","raw_affiliation_strings":["Anna University,NGNLab,Department of Computer Technology,Chennai,India"],"affiliations":[{"raw_affiliation_string":"Anna University,NGNLab,Department of Computer Technology,Chennai,India","institution_ids":["https://openalex.org/I33585257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089747025","display_name":"B. S. Suresh","orcid":null},"institutions":[{"id":"https://openalex.org/I33585257","display_name":"Anna University, Chennai","ror":"https://ror.org/01qhf1r47","country_code":"IN","type":"education","lineage":["https://openalex.org/I33585257"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Babith Sarish Suresh","raw_affiliation_strings":["Anna University,NGNLab,Department of Computer Technology,Chennai,India"],"affiliations":[{"raw_affiliation_string":"Anna University,NGNLab,Department of Computer Technology,Chennai,India","institution_ids":["https://openalex.org/I33585257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000042272","display_name":"Jaehyuk Cho","orcid":"https://orcid.org/0000-0002-9113-6805"},"institutions":[{"id":"https://openalex.org/I80611190","display_name":"Jeonbuk National University","ror":"https://ror.org/05q92br09","country_code":"KR","type":"education","lineage":["https://openalex.org/I80611190"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaehyuk Cho","raw_affiliation_strings":["Jeonbuk National University,Department of Software Engineering & Division of Electronics and Information Engineering,Jeonju-si,the Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Jeonbuk National University,Department of Software Engineering & Division of Electronics and Information Engineering,Jeonju-si,the Republic of Korea","institution_ids":["https://openalex.org/I80611190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114123068","display_name":"Seohyun Yoo","orcid":null},"institutions":[{"id":"https://openalex.org/I80611190","display_name":"Jeonbuk National University","ror":"https://ror.org/05q92br09","country_code":"KR","type":"education","lineage":["https://openalex.org/I80611190"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seohyun Yoo","raw_affiliation_strings":["Jeonbuk National University,Department of Software Engineering & Division of Electronics and Information Engineering,Jeonju-si,the Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Jeonbuk National University,Department of Software Engineering & Division of Electronics and Information Engineering,Jeonju-si,the Republic of Korea","institution_ids":["https://openalex.org/I80611190"]}]},{"author_position":"last","author":{"id":null,"display_name":"Sathishkumar Veerappampalayam Easwaramoorthy","orcid":null},"institutions":[{"id":"https://openalex.org/I84339108","display_name":"Sunway University","ror":"https://ror.org/04mjt7f73","country_code":"MY","type":"education","lineage":["https://openalex.org/I84339108"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Sathishkumar Veerappampalayam Easwaramoorthy","raw_affiliation_strings":["Sunway University,School of Engineering and Technology,Malaysia"],"affiliations":[{"raw_affiliation_string":"Sunway University,School of Engineering and Technology,Malaysia","institution_ids":["https://openalex.org/I84339108"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5010314794"],"corresponding_institution_ids":["https://openalex.org/I33585257"],"apc_list":null,"apc_paid":null,"fwci":0.3881,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.70977032,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"388","last_page":"395"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.8090000152587891,"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":0.8090000152587891,"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/computer-science","display_name":"Computer science","score":0.6587877869606018},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6251518726348877},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.5878079533576965},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5512201189994812},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17330431938171387},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.06545412540435791}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6587877869606018},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6251518726348877},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.5878079533576965},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5512201189994812},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17330431938171387},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.06545412540435791}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdmw65004.2024.00056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw65004.2024.00056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Data Mining Workshops (ICDMW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.5299999713897705,"display_name":"Good health and well-being"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322007","display_name":"Ministry of Environment","ror":"https://ror.org/04xmt0833"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1849277567","https://openalex.org/W2167917621","https://openalex.org/W2963163009","https://openalex.org/W2981731882","https://openalex.org/W3015226328","https://openalex.org/W3127657277","https://openalex.org/W3164408946","https://openalex.org/W4205711275","https://openalex.org/W4224316937","https://openalex.org/W4225134106","https://openalex.org/W4225265532","https://openalex.org/W4225332951","https://openalex.org/W4226312420","https://openalex.org/W4283786338","https://openalex.org/W4290716979","https://openalex.org/W4292450757","https://openalex.org/W4308144123","https://openalex.org/W4310584083","https://openalex.org/W4384911819","https://openalex.org/W4391055587","https://openalex.org/W4391289725","https://openalex.org/W4391558001","https://openalex.org/W4391791480","https://openalex.org/W4392231575","https://openalex.org/W4393063908","https://openalex.org/W6637373629","https://openalex.org/W6685133223","https://openalex.org/W6792931581","https://openalex.org/W6811060617"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4321369474","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W3086377361"],"abstract_inverted_index":{"Early":[0],"detection":[1],"of":[2,60,72,120,143,151,166,169,201,241],"Cardiovascular":[3],"Diseases":[4],"(CVD)":[5],"plays":[6],"a":[7,35,117,131,159],"vital":[8],"role":[9],"in":[10,25,47,122,149,176,227,249],"effective":[11],"treatment":[12],"and":[13,28,51,66,80,129,139,154,180,194,214,256,259],"management.":[14,140],"However,":[15],"traditional":[16],"methods":[17,142,168,255],"for":[18,135,219],"analyzing":[19],"ECG":[20,73,144,170,202],"signals":[21],"are":[22,89],"often":[23,146],"limited":[24],"both":[26],"accuracy":[27,119,153,248],"interpretability.":[29,155],"In":[30],"this":[31],"work,":[32],"we":[33,206],"introduce":[34],"novel":[36],"model,":[37],"CardioNetFusion,":[38],"designed":[39],"to":[40,68,91,162,197,210,233],"address":[41,163],"these":[42],"limitations":[43,148],"by":[44,96,173],"incorporating":[45],"advancements":[46],"Deep":[48,177],"Learning":[49,178],"(DL)":[50,179],"Explainable":[52,181],"AI":[53,182],"(XAI).":[54,183],"The":[55,184],"model":[56,93,110,161,187,212,236],"leverages":[57],"the":[58,70,109,164,199,228],"strengths":[59],"Convolutional":[61,189],"Neural":[62,190],"Networks":[63,191],"(CNN),":[64,192],"MobileNetV2,":[65,193],"VGG16":[67,195],"improve":[69,198],"robustness":[71,200],"signal":[74,203],"interpretation.":[75,204],"To":[76],"further":[77],"enhance":[78,211],"transparency":[79,213],"provide":[81,215],"healthcare":[82,220],"professionals":[83],"with":[84],"actionable":[85,217],"insights,":[86],"saliency":[87,208],"maps":[88,209],"utilized":[90,207],"visualize":[92],"predictions.":[94],"Additionally,":[95,205],"integrating":[97],"an":[98,104,245],"Application":[99,223],"Programming":[100,224],"Interface":[101,225],"(API)":[102,226],"within":[103],"IoT-based":[105,229],"sensor":[106,230],"fusion":[107,231],"framework,":[108],"supports":[111],"real-time":[112,239],"cardiovascular":[113,242],"health":[114],"monitoring.":[115],"Achieving":[116],"classification":[118],"98.7%":[121,247],"detecting":[123],"arrhythmias,":[124],"CardioNetFusion":[125,160,186,252],"surpasses":[126],"existing":[127,254],"methodologies":[128],"offers":[130],"practical,":[132],"reliable":[133,258],"solution":[134],"early":[136],"CVD":[137],"diagnosis":[138],"Traditional":[141],"analysis":[145,172],"have":[147],"terms":[150],"diagnostic":[152],"This":[156],"paper":[157],"proposes":[158],"challenges":[165],"conventional":[167],"data":[171],"leveraging":[174],"advances":[175],"proposed":[185,235],"integrates":[188],"models":[196],"clear,":[216],"insights":[218],"professionals.":[221],"Integrating":[222],"approach":[232],"our":[234],"facilitates":[237],"seamless":[238],"monitoring":[240],"health.":[243],"With":[244],"impressive":[246],"arrhythmia":[250],"classification,":[251],"outperformed":[253],"ensured":[257],"interpretable":[260],"diagnostics.":[261]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}