{"id":"https://openalex.org/W4312749348","doi":"https://doi.org/10.1109/segah54908.2022.9978589","title":"ECG classification using Artificial Intelligence: Model Optimization and Robustness Assessment","display_name":"ECG classification using Artificial Intelligence: Model Optimization and Robustness Assessment","publication_year":2022,"publication_date":"2022-08-10","ids":{"openalex":"https://openalex.org/W4312749348","doi":"https://doi.org/10.1109/segah54908.2022.9978589"},"language":"en","primary_location":{"id":"doi:10.1109/segah54908.2022.9978589","is_oa":false,"landing_page_url":"https://doi.org/10.1109/segah54908.2022.9978589","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 10th International Conference on Serious Games and Applications for Health(SeGAH)","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/A5056516153","display_name":"In\u00eas Escriv\u00e3es","orcid":"https://orcid.org/0000-0001-8987-0253"},"institutions":[{"id":"https://openalex.org/I185808892","display_name":"Polytechnic Institute of C\u00e1vado and Ave","ror":"https://ror.org/0448qsq10","country_code":"PT","type":"education","lineage":["https://openalex.org/I185808892"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Ines Escrivaes","raw_affiliation_strings":["2Ai - School of Technology, IPCA,Barcelos,Portugal,4750-810"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"2Ai - School of Technology, IPCA,Barcelos,Portugal,4750-810","institution_ids":["https://openalex.org/I185808892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091118285","display_name":"Lu\u00eds C. N. Barbosa","orcid":"https://orcid.org/0000-0002-7818-1994"},"institutions":[{"id":"https://openalex.org/I185808892","display_name":"Polytechnic Institute of C\u00e1vado and Ave","ror":"https://ror.org/0448qsq10","country_code":"PT","type":"education","lineage":["https://openalex.org/I185808892"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Luis C.N. Barbosa","raw_affiliation_strings":["2Ai - School of Technology, IPCA,Barcelos,Portugal,4750-810"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"2Ai - School of Technology, IPCA,Barcelos,Portugal,4750-810","institution_ids":["https://openalex.org/I185808892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023155064","display_name":"Helena R. Torres","orcid":"https://orcid.org/0000-0001-8407-3255"},"institutions":[{"id":"https://openalex.org/I185808892","display_name":"Polytechnic Institute of C\u00e1vado and Ave","ror":"https://ror.org/0448qsq10","country_code":"PT","type":"education","lineage":["https://openalex.org/I185808892"]},{"id":"https://openalex.org/I99682543","display_name":"University of Minho","ror":"https://ror.org/037wpkx04","country_code":"PT","type":"education","lineage":["https://openalex.org/I99682543"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Helena R. Torres","raw_affiliation_strings":["2Ai - School of Technology, IPCA,Barcelos,Portugal,4750-810","ICVS, Escola de Medicina, Universidade do Minho, Braga, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"2Ai - School of Technology, IPCA,Barcelos,Portugal,4750-810","institution_ids":["https://openalex.org/I185808892"]},{"raw_affiliation_string":"ICVS, Escola de Medicina, Universidade do Minho, Braga, Portugal","institution_ids":["https://openalex.org/I99682543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027235988","display_name":"Bruno Oliveira","orcid":"https://orcid.org/0000-0003-1616-2234"},"institutions":[{"id":"https://openalex.org/I185808892","display_name":"Polytechnic Institute of C\u00e1vado and Ave","ror":"https://ror.org/0448qsq10","country_code":"PT","type":"education","lineage":["https://openalex.org/I185808892"]},{"id":"https://openalex.org/I99682543","display_name":"University of Minho","ror":"https://ror.org/037wpkx04","country_code":"PT","type":"education","lineage":["https://openalex.org/I99682543"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Bruno Oliveira","raw_affiliation_strings":["2Ai - School of Technology, IPCA,Barcelos,Portugal,4750-810","ICVS, Escola de Medicina, Universidade do Minho, Braga, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"2Ai - School of Technology, IPCA,Barcelos,Portugal,4750-810","institution_ids":["https://openalex.org/I185808892"]},{"raw_affiliation_string":"ICVS, Escola de Medicina, Universidade do Minho, Braga, Portugal","institution_ids":["https://openalex.org/I99682543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008817714","display_name":"Jo\u00e3o L. Vila\u00e7a","orcid":"https://orcid.org/0000-0002-4196-5357"},"institutions":[{"id":"https://openalex.org/I185808892","display_name":"Polytechnic Institute of C\u00e1vado and Ave","ror":"https://ror.org/0448qsq10","country_code":"PT","type":"education","lineage":["https://openalex.org/I185808892"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Joao L. Vilaca","raw_affiliation_strings":["2Ai - School of Technology, IPCA,Barcelos,Portugal,4750-810"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"2Ai - School of Technology, IPCA,Barcelos,Portugal,4750-810","institution_ids":["https://openalex.org/I185808892"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081841142","display_name":"Pedro Morais","orcid":"https://orcid.org/0000-0002-1995-7879"},"institutions":[{"id":"https://openalex.org/I185808892","display_name":"Polytechnic Institute of C\u00e1vado and Ave","ror":"https://ror.org/0448qsq10","country_code":"PT","type":"education","lineage":["https://openalex.org/I185808892"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Pedro Morais","raw_affiliation_strings":["2Ai - School of Technology, IPCA,Barcelos,Portugal,4750-810"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"2Ai - School of Technology, IPCA,Barcelos,Portugal,4750-810","institution_ids":["https://openalex.org/I185808892"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9904000163078308,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9742000102996826,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.8495928049087524},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7128787040710449},{"id":"https://openalex.org/keywords/heartbeat","display_name":"Heartbeat","score":0.695164680480957},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6594197154045105},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5693284869194031},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5555737018585205},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5467072129249573},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.524850606918335},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40991196036338806},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4002169966697693}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8495928049087524},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7128787040710449},{"id":"https://openalex.org/C13852961","wikidata":"https://www.wikidata.org/wiki/Q17021880","display_name":"Heartbeat","level":2,"score":0.695164680480957},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6594197154045105},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5693284869194031},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5555737018585205},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5467072129249573},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.524850606918335},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40991196036338806},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4002169966697693},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/segah54908.2022.9978589","is_oa":false,"landing_page_url":"https://doi.org/10.1109/segah54908.2022.9978589","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 10th International Conference on Serious Games and Applications for Health(SeGAH)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3380317015","display_name":null,"funder_award_id":"UIDB/05549/2020,UIDP/05549/2020,LASILA/P/0104/2020","funder_id":"https://openalex.org/F4320337197","funder_display_name":"Nuclear Fuel Cycle and Supply Chain"}],"funders":[{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320337197","display_name":"Nuclear Fuel Cycle and Supply Chain","ror":"https://ror.org/05tj7dm33"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1999163998","https://openalex.org/W2161045094","https://openalex.org/W2473690925","https://openalex.org/W2896644476","https://openalex.org/W2901226889","https://openalex.org/W2902644322","https://openalex.org/W2968959539","https://openalex.org/W3000556081","https://openalex.org/W3010079658","https://openalex.org/W3157131865","https://openalex.org/W3180244608","https://openalex.org/W3198728103","https://openalex.org/W6683797831"],"related_works":["https://openalex.org/W4385543909","https://openalex.org/W3039320222","https://openalex.org/W3199640442","https://openalex.org/W1898280036","https://openalex.org/W3158157485","https://openalex.org/W2789124470","https://openalex.org/W3192962470","https://openalex.org/W3000407446","https://openalex.org/W2116531472","https://openalex.org/W2103550798"],"abstract_inverted_index":{"The":[0,53,86],"Electrocardiogram":[1],"is":[2,159,171],"one":[3,62],"of":[4,23,61,91,103,112,130,146,199,210],"the":[5,13,20,28,57,89,92,101,110,113,117,134,147,149,166,197,200,208,211],"more":[6],"complete":[7],"exams":[8,26],"for":[9,191],"diagnosing":[10],"pathologies":[11],"regarding":[12],"cardiovascular":[14,48],"system.":[15],"Therefore,":[16],"and":[17,59,127,143,161,175,183,203],"based":[18,67,155],"on":[19,68,156],"rudimentary":[21],"methods":[22],"analyzing":[24],"these":[25],"in":[27,35,83,100,116],"past,":[29],"computer-based":[30],"approaches":[31],"are":[32],"now":[33],"used":[34],"ECG":[36,51,84,181],"analysis.":[37,52],"Smart":[38],"technology":[39],"systems":[40,177],"have":[41],"been":[42],"designed":[43],"over":[44],"time":[45],"to":[46,78,163,172,178,184,195,207],"diagnose":[47],"conditions":[49,82],"through":[50],"current":[54],"study":[55,196],"evaluates":[56],"robustness":[58,90,206],"performance":[60,99],"Artificial":[63],"Intelligent":[64],"(AI)":[65],"system,":[66,148],"a":[69,75,128,141],"Convolutional":[70],"Neural":[71],"Network":[72],"paired":[73],"with":[74,165],"Multilayer":[76],"Perceptron,":[77],"classify":[79],"specific":[80,187],"cardiac":[81],"signals.":[85],"paper":[87],"assesses":[88],"described":[93],"AI":[94],"model,":[95],"by":[96],"evaluating":[97],"its":[98,205],"classification":[102,154],"different":[104],"classes.":[105],"Moreover,":[106],"it":[107],"was":[108],"studied":[109],"influence":[111,198],"model's":[114],"parameters":[115],"result,":[118],"namely:":[119],"Train-Test":[120],"split":[121],"ratio,":[122],"learning":[123],"rate,":[124],"optimization":[125],"Algorithm,":[126],"number":[129],"epochs.":[131],"After":[132],"finding":[133],"optimal":[135],"parameterization":[136],"configuration":[137],"that":[138,152],"translates":[139],"into":[140],"higher":[142],"better":[144],"accuracy":[145],"results":[150],"suggested":[151],"heartbeat":[153],"CNN+MLP":[157],"architecture":[158],"robust":[160],"capable":[162],"deal":[164],"class":[167],"increase.":[168],"Our":[169],"goal":[170],"use":[173],"outcomes":[174],"intelligent":[176],"automatically":[179],"process":[180],"signals,":[182],"directly":[185],"identify":[186],"medical":[188],"conditions,":[189],"and,":[190],"that,":[192],"we":[193],"intend":[194],"parameter's":[201],"variation":[202,209],"confirm":[204],"database":[212],"configuration.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
