{"id":"https://openalex.org/W7117499329","doi":"https://doi.org/10.1145/3714394.3756348","title":"Multi-Modal Deep Learning for Myocardial Infarction Detection Using ECG Signals and Images","display_name":"Multi-Modal Deep Learning for Myocardial Infarction Detection Using ECG Signals and Images","publication_year":2025,"publication_date":"2025-10-12","ids":{"openalex":"https://openalex.org/W7117499329","doi":"https://doi.org/10.1145/3714394.3756348"},"language":"en","primary_location":{"id":"doi:10.1145/3714394.3756348","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3714394.3756348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing","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/A5065929663","display_name":"Jahanggir Hossain Setu","orcid":null},"institutions":[{"id":"https://openalex.org/I31669788","display_name":"Independent University","ror":"https://ror.org/05qbbf772","country_code":"BD","type":"education","lineage":["https://openalex.org/I31669788"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Jahanggir Hossain Setu","raw_affiliation_strings":["Center for Computational &amp; Data Sciences, Independent University, Bangladesh, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Center for Computational &amp; Data Sciences, Independent University, Bangladesh, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I31669788"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121488766","display_name":"Syed Tangim Pasha","orcid":null},"institutions":[{"id":"https://openalex.org/I31669788","display_name":"Independent University","ror":"https://ror.org/05qbbf772","country_code":"BD","type":"education","lineage":["https://openalex.org/I31669788"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Syed Tangim Pasha","raw_affiliation_strings":["Center for Computational &amp; Data Sciences, Independent University, Bangladesh, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Center for Computational &amp; Data Sciences, Independent University, Bangladesh, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I31669788"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029691775","display_name":"Nabarun Halder","orcid":"https://orcid.org/0009-0008-7300-6733"},"institutions":[{"id":"https://openalex.org/I31669788","display_name":"Independent University","ror":"https://ror.org/05qbbf772","country_code":"BD","type":"education","lineage":["https://openalex.org/I31669788"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Nabarun Halder","raw_affiliation_strings":["Center for Computational &amp; Data Sciences, Independent University, Bangladesh, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Center for Computational &amp; Data Sciences, Independent University, Bangladesh, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I31669788"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083192194","display_name":"Eshtiak Ahmed","orcid":"https://orcid.org/0000-0001-5280-2118"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Eshtiak Ahmed","raw_affiliation_strings":["Tampere University, Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"Tampere University, Tampere, Finland","institution_ids":["https://openalex.org/I166825849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103786039","display_name":"Ashraful Islam","orcid":null},"institutions":[{"id":"https://openalex.org/I31669788","display_name":"Independent University","ror":"https://ror.org/05qbbf772","country_code":"BD","type":"education","lineage":["https://openalex.org/I31669788"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Ashraful Islam","raw_affiliation_strings":["Center for Computational &amp; Data Sciences, Independent University, Bangladesh, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Center for Computational &amp; Data Sciences, Independent University, Bangladesh, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I31669788"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5121464941","display_name":"M. Ashraful Amin","orcid":null},"institutions":[{"id":"https://openalex.org/I31669788","display_name":"Independent University","ror":"https://ror.org/05qbbf772","country_code":"BD","type":"education","lineage":["https://openalex.org/I31669788"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"M. Ashraful Amin","raw_affiliation_strings":["Center for Computational &amp; Data Sciences, Independent University, Bangladesh, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Center for Computational &amp; Data Sciences, Independent University, Bangladesh, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I31669788"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5065929663"],"corresponding_institution_ids":["https://openalex.org/I31669788"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.68391142,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1626","last_page":"1632"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9617999792098999,"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":0.9617999792098999,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.007499999832361937,"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/T10217","display_name":"Cardiac electrophysiology and arrhythmias","score":0.002300000051036477,"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/deep-learning","display_name":"Deep learning","score":0.7646999955177307},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.730400025844574},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4864000082015991},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.439300000667572},{"id":"https://openalex.org/keywords/myocardial-infarction","display_name":"Myocardial infarction","score":0.391400009393692},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.387800008058548},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3587999939918518}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7669000029563904},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7646999955177307},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.730400025844574},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5860999822616577},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4864000082015991},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.439300000667572},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4146000146865845},{"id":"https://openalex.org/C500558357","wikidata":"https://www.wikidata.org/wiki/Q12152","display_name":"Myocardial infarction","level":2,"score":0.391400009393692},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.387800008058548},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3587999939918518},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.34299999475479126},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33320000767707825},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.32170000672340393},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2987000048160553},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.29679998755455017},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.28189998865127563},{"id":"https://openalex.org/C2780040984","wikidata":"https://www.wikidata.org/wiki/Q79785","display_name":"Electrocardiography","level":2,"score":0.2802000045776367},{"id":"https://openalex.org/C40993552","wikidata":"https://www.wikidata.org/wiki/Q514654","display_name":"Gold standard (test)","level":2,"score":0.2766000032424927},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.27410000562667847}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3714394.3756348","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3714394.3756348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:trepo.tuni.fi:10024/234112","is_oa":false,"landing_page_url":"https://trepo.tuni.fi/handle/10024/234112","pdf_url":null,"source":{"id":"https://openalex.org/S7407055260","display_name":"Trepo - Institutional Repository of Tampere University","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":null,"raw_type":"conference"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.7379032373428345}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W3094897602","https://openalex.org/W3143117821","https://openalex.org/W4390862266","https://openalex.org/W4403888552"],"related_works":[],"abstract_inverted_index":{"Heart":[0],"attacks,":[1],"formally":[2],"referred":[3],"to":[4,106],"as":[5],"myocardial":[6],"infarction":[7],"(MI),":[8],"are":[9],"a":[10,63,82],"major":[11],"cause":[12],"of":[13,54,184,214],"morbidity":[14],"and":[15,20,27,43,57,76,100,132,164,171,193,217],"death":[16],"globally.":[17],"Timely":[18],"intervention":[19],"better":[21],"patient":[22],"outcomes":[23],"depend":[24],"on":[25,38,120,126,134,142],"early":[26],"precise":[28],"MI":[29,35,71],"identification.":[30],"Traditional":[31],"methods":[32,48],"for":[33,69,87,96,206],"diagnosing":[34],"primarily":[36],"rely":[37],"clinical":[39],"examinations,":[40],"Electrocardiogram":[41],"(ECG),":[42],"imaging":[44],"techniques.":[45],"However,":[46],"these":[47],"often":[49],"face":[50],"challenges":[51],"in":[52,116,160,187],"terms":[53],"accuracy,":[55],"sensitivity,":[56],"timely":[58],"interpretation.":[59],"This":[60],"study":[61],"explores":[62],"multi-modal":[64,152],"Deep":[65],"Learning":[66],"(DL)":[67],"model":[68,80,113,153,180],"detecting":[70],"using":[72],"both":[73,110,215],"ECG":[74,89,98,129,137,173],"signal":[75],"image":[77,130,138,174,190,216],"data.":[78],"The":[79,112,146],"integrates":[81],"Convolutional":[83],"Neural":[84],"Network":[85],"(CNN)":[86],"processing":[88],"images,":[90],"Long":[91],"Short-Term":[92],"Memory":[93],"(LSTM)":[94],"networks":[95],"analyzing":[97],"signals,":[99],"an":[101,182],"Attention-based":[102],"feature":[103],"fusion":[104],"mechanism":[105],"combine":[107],"features":[108],"from":[109],"modalities.":[111],"was":[114],"evaluated":[115],"two":[117],"configurations:":[118],"training":[119,133,170,192],"the":[121,127,135,143,150,156,167,178,188,212],"PTB-XL":[122,144,168,194],"dataset":[123,139,169,175,191,195],"with":[124,140,158],"testing":[125,141,176,196],"Mendeley":[128,136,172,189],"dataset,":[131],"dataset.":[145],"results":[147],"show":[148],"that":[149],"hypertuned":[151,179],"consistently":[154],"outperforms":[155],"baseline,":[157],"improvements":[159],"F1-score,":[161],"recall,":[162],"precision,":[163],"accuracy.":[165],"In":[166],"setup,":[177,197],"achieved":[181],"accuracy":[183],"0.982,":[185],"while":[186],"it":[198],"reached":[199],"0.9638.":[200],"These":[201],"findings":[202],"demonstrate":[203],"promising":[204],"avenues":[205],"advancing":[207],"automated":[208],"cardiovascular":[209],"diagnostics":[210],"combining":[211],"strengths":[213],"signal-based":[218],"analysis.":[219]},"counts_by_year":[],"updated_date":"2026-04-12T07:58:50.170612","created_date":"2025-12-29T00:00:00"}
