{"id":"https://openalex.org/W4407929973","doi":"https://doi.org/10.5220/0013313800003911","title":"Assessing Electrocardiogram Quality: A Deep Learning Framework For Noise Detection And Classification","display_name":"Assessing Electrocardiogram Quality: A Deep Learning Framework For Noise Detection And Classification","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407929973","doi":"https://doi.org/10.5220/0013313800003911"},"language":"en","primary_location":{"id":"doi:10.5220/0013313800003911","doi":"https://doi.org/10.5220/0013313800003911","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0013313800003911","pdf_url":null,"source":{"id":"https://openalex.org/S4363608833","display_name":"International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.5220/0013313800003911","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"M\u00e1rcia Monteiro","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405258619","display_name":"Laborat\u00f3rio de Instrumenta\u00e7\u00e3o Engenharia Biom\u00e9dica e F\u00edsica da Radia\u00e7\u00e3o","ror":"https://ror.org/00zxx1774","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103","https://openalex.org/I4405258619"]},{"id":"https://openalex.org/I4405259466","display_name":"Laborat\u00f3rio de Instrumenta\u00e7\u00e3o Engenharia Biom\u00e9dica e F\u00edsica da Radia\u00e7\u00e3o","ror":"https://ror.org/029c7fh08","country_code":"PT","type":"education","lineage":["https://openalex.org/I4405259466","https://openalex.org/I83558840"]},{"id":"https://openalex.org/I83558840","display_name":"Universidade Nova de Lisboa","ror":"https://ror.org/02xankh89","country_code":"PT","type":"education","lineage":["https://openalex.org/I83558840"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"M\u00e1rcia Monteiro","raw_affiliation_strings":["LIBPhys (Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics), NOVA School of Science and Technology, Campus de Caparica, 2829-516, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIBPhys (Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics), NOVA School of Science and Technology, Campus de Caparica, 2829-516, Portugal","institution_ids":["https://openalex.org/I4405258619","https://openalex.org/I4405259466","https://openalex.org/I83558840"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100736241","display_name":"Mariana Dias","orcid":"https://orcid.org/0000-0002-0172-4559","observed_orcids":["https://orcid.org/0000-0002-0172-4559"]},"institutions":[{"id":"https://openalex.org/I4405258619","display_name":"Laborat\u00f3rio de Instrumenta\u00e7\u00e3o Engenharia Biom\u00e9dica e F\u00edsica da Radia\u00e7\u00e3o","ror":"https://ror.org/00zxx1774","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103","https://openalex.org/I4405258619"]},{"id":"https://openalex.org/I4405259466","display_name":"Laborat\u00f3rio de Instrumenta\u00e7\u00e3o Engenharia Biom\u00e9dica e F\u00edsica da Radia\u00e7\u00e3o","ror":"https://ror.org/029c7fh08","country_code":"PT","type":"education","lineage":["https://openalex.org/I4405259466","https://openalex.org/I83558840"]},{"id":"https://openalex.org/I83558840","display_name":"Universidade Nova de Lisboa","ror":"https://ror.org/02xankh89","country_code":"PT","type":"education","lineage":["https://openalex.org/I83558840"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Mariana Dias","raw_affiliation_strings":["LIBPhys (Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics), NOVA School of Science and Technology, Campus de Caparica, 2829-516, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIBPhys (Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics), NOVA School of Science and Technology, Campus de Caparica, 2829-516, Portugal","institution_ids":["https://openalex.org/I4405258619","https://openalex.org/I4405259466","https://openalex.org/I83558840"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038205194","display_name":"Hugo Filipe Silveira Gamboa","orcid":"https://orcid.org/0000-0002-4022-7424","observed_orcids":["https://orcid.org/0000-0002-4022-7424"]},"institutions":[{"id":"https://openalex.org/I4405258619","display_name":"Laborat\u00f3rio de Instrumenta\u00e7\u00e3o Engenharia Biom\u00e9dica e F\u00edsica da Radia\u00e7\u00e3o","ror":"https://ror.org/00zxx1774","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103","https://openalex.org/I4405258619"]},{"id":"https://openalex.org/I4405259466","display_name":"Laborat\u00f3rio de Instrumenta\u00e7\u00e3o Engenharia Biom\u00e9dica e F\u00edsica da Radia\u00e7\u00e3o","ror":"https://ror.org/029c7fh08","country_code":"PT","type":"education","lineage":["https://openalex.org/I4405259466","https://openalex.org/I83558840"]},{"id":"https://openalex.org/I83558840","display_name":"Universidade Nova de Lisboa","ror":"https://ror.org/02xankh89","country_code":"PT","type":"education","lineage":["https://openalex.org/I83558840"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Hugo Gamboa","raw_affiliation_strings":["LIBPhys (Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics), NOVA School of Science and Technology, Campus de Caparica, 2829-516, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIBPhys (Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics), NOVA School of Science and Technology, Campus de Caparica, 2829-516, Portugal","institution_ids":["https://openalex.org/I4405258619","https://openalex.org/I4405259466","https://openalex.org/I83558840"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"793","last_page":"804"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":1.0,"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":1.0,"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/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.0,"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/noise-classification","display_name":"noise classification","score":0.8240000009536743},{"id":"https://openalex.org/keywords/gated-recurrent-unit","display_name":"gated recurrent unit","score":0.828000009059906},{"id":"https://openalex.org/keywords/electrode-motion-artifact","display_name":"electrode motion artifact","score":0.7229999899864197},{"id":"https://openalex.org/keywords/baseline-wander","display_name":"baseline wander","score":0.9900000095367432},{"id":"https://openalex.org/keywords/muscle-artifacts","display_name":"muscle artifacts","score":0.9639999866485596},{"id":"https://openalex.org/keywords/wearable-ecg-monitoring","display_name":"wearable ECG monitoring","score":0.8019999861717224},{"id":"https://openalex.org/keywords/long-term-cardiac-monitoring","display_name":"long-term cardiac monitoring","score":0.8130000233650208}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7343932390213013},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6156611442565918},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.545927882194519},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5220508575439453},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49997425079345703},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4080751836299896},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3990820646286011},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39691776037216187},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5220/0013313800003911","doi":"https://doi.org/10.5220/0013313800003911","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0013313800003911","pdf_url":null,"source":{"id":"https://openalex.org/S4363608833","display_name":"International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies","raw_type":"proceedings-article"},{"id":"pmh:oai:run.unl.pt:10362/183479","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10362/183479","pdf_url":"https://run.unl.pt/bitstream/10362/183479/1/Monteiro_2024.pdf","source":{"id":"https://openalex.org/S4306402433","display_name":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"master thesis"}],"best_oa_location":{"id":"doi:10.5220/0013313800003911","doi":"https://doi.org/10.5220/0013313800003911","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0013313800003911","pdf_url":null,"source":{"id":"https://openalex.org/S4363608833","display_name":"International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6240000128746033,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4407929973.pdf","grobid_xml":"https://content.openalex.org/works/W4407929973.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1578387326","https://openalex.org/W2061185532","https://openalex.org/W2098912100","https://openalex.org/W2118719397","https://openalex.org/W2162800060","https://openalex.org/W2735387193","https://openalex.org/W2767266836","https://openalex.org/W2794550444","https://openalex.org/W2806149022","https://openalex.org/W2886415518","https://openalex.org/W2914548610","https://openalex.org/W2919115771","https://openalex.org/W2919664113","https://openalex.org/W3003542559","https://openalex.org/W3027572331","https://openalex.org/W3035965352","https://openalex.org/W3041120118","https://openalex.org/W3094568574","https://openalex.org/W3106865607","https://openalex.org/W3202448260","https://openalex.org/W4223619121","https://openalex.org/W4232533539","https://openalex.org/W4233282279","https://openalex.org/W4285725804","https://openalex.org/W4293099637","https://openalex.org/W4307270959","https://openalex.org/W4309074400","https://openalex.org/W4361829611","https://openalex.org/W4381715904","https://openalex.org/W4386450219","https://openalex.org/W4386634562","https://openalex.org/W4387585496","https://openalex.org/W4391928046","https://openalex.org/W4395448321","https://openalex.org/W4398879374","https://openalex.org/W6903634314","https://openalex.org/W6912517022","https://openalex.org/W6940937141","https://openalex.org/W6959434663","https://openalex.org/W6969259846"],"related_works":["https://openalex.org/W4414933257","https://openalex.org/W4401110055","https://openalex.org/W2766348047","https://openalex.org/W4417306975","https://openalex.org/W7214396365","https://openalex.org/W4415069516","https://openalex.org/W4414123954","https://openalex.org/W4362506868","https://openalex.org/W4205767847","https://openalex.org/W7201887060"],"abstract_inverted_index":{"The":[0,138,251],"electrocardiogram":[1],"(ECG)":[2],"is":[3,105,122],"essential":[4],"for":[5,147,162],"diagnosing":[6],"cardiovascular":[7],"conditions,":[8],"yet":[9],"ECG":[10,97,223],"signals":[11],"are":[12,49],"highly":[13],"prone":[14],"to":[15,124,193,245,256],"noise,":[16,175],"which":[17],"reduces":[18],"their":[19],"reliability,":[20],"especially":[21],"in":[22,95,187,222],"wearable":[23,270],"devices":[24],"and":[25,36,57,88,133,159,166,182,262,269],"long-term":[26,260],"monitoring":[27],"applications.":[28],"Traditional":[29],"noise":[30,93,110,136,151,189,233,244],"detection":[31,84],"methods":[32],"achieve":[33],"limited":[34],"accuracy,":[35],"deep":[37],"learning":[38],"(DL)":[39],"has":[40,253],"emerged":[41],"as":[42],"a":[43,70,76,102,141,210,219,228],"promising":[44],"solution.":[45],"Current":[46],"DL":[47,71,195],"approaches":[48],"focused":[50],"on":[51,117],"binary":[52,211,235],"classification":[53,90,212],"(noisy":[54],"versus":[55],"clean)":[56],"lack":[58],"more":[59,229],"detailed":[60,230],"quality":[61,79],"information.":[62],"This":[63,216],"paper":[64],"explores":[65],"these":[66],"challenges":[67,172],"by":[68,107,153,226],"developing":[69],"model":[72,115,139,177,199],"capable":[73],"of":[74,85,91,129,144,156,213,232,243,249],"performing":[75],"comprehensive":[77],"signal":[78,224],"assessment":[80],"(SQA)":[81],"through":[82],"the":[83,89,96,126,130,176,197,214,241,247,254],"noisy":[86],"segments":[87],"specific":[92],"types":[94],"data.":[98],"To":[99],"accomplish":[100],"this,":[101],"labeled":[103],"dataset":[104],"generated":[106],"injecting":[108],"controlled":[109],"into":[111],"clean":[112],"signals.":[113,215],"A":[114],"based":[116],"gated":[118],"recurrent":[119],"units":[120],"(GRUs)":[121],"developed":[123],"handle":[125],"time-series":[127],"nature":[128],"data,":[131],"identifying":[132,188],"classifying":[134],"common":[135],"types.":[137],"achieved":[140],"high":[142,180],"accuracy":[143,155,207],"92.86":[145],"%":[146,158,161,206],"electrode":[148],"motion":[149],"(EM)":[150],"followed":[152],"an":[154],"92.05":[157],"81.55":[160],"baseline":[163],"wander":[164],"(BW)":[165],"muscle":[167],"artifacts":[168],"(MA),":[169],"respectively.":[170],"Despite":[171],"with":[173],"overlapping":[174],"consistently":[178],"maintains":[179],"recall":[181],"precision":[183],"rates,":[184],"proving":[185],"effective":[186],"when":[190,208],"present.":[191],"Compared":[192],"state-of-the-art":[194],"approaches,":[196],"proposed":[198],"significantly":[200],"outperforms":[201],"previous":[202],"methods,":[203],"achieving":[204],"99.72":[205],"conducting":[209],"thesis":[217],"offers":[218],"significant":[220],"advancement":[221],"processing":[225],"providing":[227],"understanding":[231],"beyond":[234],"classification.":[236],"Future":[237],"improvements":[238],"comprise":[239],"adding":[240],"quantification":[242],"predict":[246],"level":[248],"contamination.":[250],"work":[252],"potential":[255],"impact":[257],"clinical":[258],"practice,":[259],"monitoring,":[261],"self-monitoring":[263],"technologies,":[264],"benefiting":[265],"medical":[266],"professionals,":[267],"researchers,":[268],"device":[271],"users":[272],"alike.":[273]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2025-02-26T00:00:00"}
