{"id":"https://openalex.org/W3213869263","doi":"https://doi.org/10.23919/mipro52101.2021.9596930","title":"Cross-Database Generalization of Deep Learning Models for Arrhythmia Classification","display_name":"Cross-Database Generalization of Deep Learning Models for Arrhythmia Classification","publication_year":2021,"publication_date":"2021-09-27","ids":{"openalex":"https://openalex.org/W3213869263","doi":"https://doi.org/10.23919/mipro52101.2021.9596930","mag":"3213869263"},"language":"en","primary_location":{"id":"doi:10.23919/mipro52101.2021.9596930","is_oa":false,"landing_page_url":"https://doi.org/10.23919/mipro52101.2021.9596930","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5007507952","display_name":"Elena Merdjanovska","orcid":"https://orcid.org/0000-0003-0794-8438"},"institutions":[{"id":"https://openalex.org/I3006985408","display_name":"Jo\u017eef Stefan Institute","ror":"https://ror.org/05060sz93","country_code":"SI","type":"facility","lineage":["https://openalex.org/I3006985408"]},{"id":"https://openalex.org/I4210113529","display_name":"Jo\u017eef Stefan International Postgraduate School","ror":"https://ror.org/01hdkb925","country_code":"SI","type":"education","lineage":["https://openalex.org/I4210113529"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"E. Merdjanovska","raw_affiliation_strings":["Department of Communication Systems, Jo\u017eef Stefan Institute, Ljubljana, Slovenia","Jo\u017eef Stefan International Postgraduate School, Ljubljana, Slovenia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Communication Systems, Jo\u017eef Stefan Institute, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I3006985408"]},{"raw_affiliation_string":"Jo\u017eef Stefan International Postgraduate School, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I4210113529"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003112718","display_name":"Aleksandra Rashkovska","orcid":"https://orcid.org/0000-0002-2014-8630"},"institutions":[{"id":"https://openalex.org/I3006985408","display_name":"Jo\u017eef Stefan Institute","ror":"https://ror.org/05060sz93","country_code":"SI","type":"facility","lineage":["https://openalex.org/I3006985408"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"A. Rashkovska","raw_affiliation_strings":["Department of Communication Systems, Jo\u017eef Stefan Institute, Ljubljana, Slovenia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Communication Systems, Jo\u017eef Stefan Institute, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I3006985408"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.6334,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.95954046,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"346","last_page":"351"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9936000108718872,"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/T10217","display_name":"Cardiac electrophysiology and arrhythmias","score":0.9925000071525574,"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/cardiac-arrhythmia","display_name":"Cardiac arrhythmia","score":0.7155659198760986},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.7078395485877991},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7017543911933899},{"id":"https://openalex.org/keywords/supraventricular-arrhythmia","display_name":"Supraventricular arrhythmia","score":0.6654781103134155},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6320880651473999},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6275995373725891},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6175772547721863},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.5808144211769104},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5166578888893127},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4098028540611267},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32784754037857056},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32676345109939575},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09522083401679993},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09345507621765137},{"id":"https://openalex.org/keywords/atrial-fibrillation","display_name":"Atrial fibrillation","score":0.08871600031852722},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.07668852806091309}],"concepts":[{"id":"https://openalex.org/C2988455589","wikidata":"https://www.wikidata.org/wiki/Q189331","display_name":"Cardiac arrhythmia","level":3,"score":0.7155659198760986},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7078395485877991},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7017543911933899},{"id":"https://openalex.org/C2910597771","wikidata":"https://www.wikidata.org/wiki/Q1598909","display_name":"Supraventricular arrhythmia","level":3,"score":0.6654781103134155},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6320880651473999},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6275995373725891},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6175772547721863},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.5808144211769104},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5166578888893127},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4098028540611267},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32784754037857056},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32676345109939575},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09522083401679993},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09345507621765137},{"id":"https://openalex.org/C2779161974","wikidata":"https://www.wikidata.org/wiki/Q815819","display_name":"Atrial fibrillation","level":2,"score":0.08871600031852722},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.07668852806091309},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/mipro52101.2021.9596930","is_oa":false,"landing_page_url":"https://doi.org/10.23919/mipro52101.2021.9596930","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6894183453","display_name":"Scientific Computing","funder_award_id":"P2-0095","funder_id":"https://openalex.org/F4320322554","funder_display_name":"Javna Agencija za Raziskovalno Dejavnost RS"}],"funders":[{"id":"https://openalex.org/F4320322554","display_name":"Javna Agencija za Raziskovalno Dejavnost RS","ror":"https://ror.org/059bp8k51"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1492815834","https://openalex.org/W1991206158","https://openalex.org/W2095409369","https://openalex.org/W2103308415","https://openalex.org/W2108396267","https://openalex.org/W2146254945","https://openalex.org/W2148143831","https://openalex.org/W2162800060","https://openalex.org/W2291961022","https://openalex.org/W2417192649","https://openalex.org/W2584258643","https://openalex.org/W2735213458","https://openalex.org/W2735740689","https://openalex.org/W2784316640","https://openalex.org/W2798651459","https://openalex.org/W2884717766","https://openalex.org/W2902644322","https://openalex.org/W2905877654","https://openalex.org/W2953193031","https://openalex.org/W2961074100","https://openalex.org/W2963733370","https://openalex.org/W3015226328","https://openalex.org/W3023605195","https://openalex.org/W3099085560","https://openalex.org/W3106455851","https://openalex.org/W6716426895","https://openalex.org/W6756353443","https://openalex.org/W6884848120"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3103566983","https://openalex.org/W3029198973","https://openalex.org/W2357619269","https://openalex.org/W2807586294","https://openalex.org/W2358678369"],"abstract_inverted_index":{"Arrhythmias":[0],"are":[1,40,143,191],"a":[2,97,149],"wide-spread":[3],"group":[4],"of":[5,11,70,96,153,161],"heart":[6],"abnormalities.":[7],"In":[8,26,87],"the":[9,48,63,68,92,116,159,162,170,176,180,188,193,197],"area":[10],"computational":[12],"methods":[13],"for":[14,74],"ECG":[15],"analysis,":[16],"much":[17,150],"research":[18],"has":[19,81],"been":[20,83,183],"done":[21],"on":[22,62,106,109,132,148],"automated":[23],"arrhythmia":[24,38,59,75,118],"detection.":[25],"order":[27],"to":[28,31,102,138,145],"be":[29],"able":[30,144],"develop":[32],"such":[33,45],"methods,":[34],"databases":[35,113,190],"containing":[36],"various":[37],"examples":[39],"necessary.":[41],"The":[42,165],"most":[43],"popular":[44],"database":[46,80],"is":[47,131],"MIT-BIH":[49,64,107,122,198],"Arrhythmia":[50,65,199],"database.":[51,66,200],"Various":[52],"deep":[53,71],"learning":[54,72],"architectures":[55],"have":[56,167,182],"shown":[57,101,168],"superior":[58],"classification":[60,76],"performance":[61,173],"However,":[67],"applicability":[69],"models":[73,142],"beyond":[77],"their":[78],"study-specific":[79],"not":[82,156,192],"explored":[84],"so":[85],"far.":[86],"this":[88],"paper,":[89],"we":[90],"test":[91],"cross-database":[93,171],"generalization":[94,172],"capabilities":[95],"convolutional":[98],"neural":[99,163],"network,":[100],"successfully":[103],"detect":[104],"arrhythmias":[105,147],"Arrhythmia,":[108,124],"three":[110],"other":[111,189],"public":[112],"that":[114,169],"contain":[115],"same":[117,194],"groups,":[119],"namely":[120,136],"INCART,":[121],"Supraventricular":[123],"and":[125],"European":[126],"ST-T.":[127],"Additionally,":[128],"our":[129],"focus":[130],"realistic":[133],"evaluation":[134],"schemes,":[135],"inter-patient,":[137],"evaluate":[139],"how":[140],"well-established":[141],"classify":[146],"larger":[151],"number":[152],"distinct":[154],"people":[155],"present":[157],"in":[158,187,196],"training":[160],"network.":[164],"results":[166],"decreases":[174],"if":[175],"conditions":[177],"under":[178],"which":[179],"measurements":[181],"performed":[184],"(lead":[185],"position)":[186],"as":[195]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
