{"id":"https://openalex.org/W2795027253","doi":"https://doi.org/10.22489/cinc.2017.343-119","title":"A Hierarchical Cardiac Rhythm Classification Methodology Based on Electrocardiogram Fiducial Points","display_name":"A Hierarchical Cardiac Rhythm Classification Methodology Based on Electrocardiogram Fiducial Points","publication_year":2017,"publication_date":"2017-09-14","ids":{"openalex":"https://openalex.org/W2795027253","doi":"https://doi.org/10.22489/cinc.2017.343-119","mag":"2795027253"},"language":"en","primary_location":{"id":"doi:10.22489/cinc.2017.343-119","is_oa":true,"landing_page_url":"https://doi.org/10.22489/cinc.2017.343-119","pdf_url":"https://doi.org/10.22489/cinc.2017.343-119","source":{"id":"https://openalex.org/S4220650825","display_name":"Computing in cardiology","issn_l":"2325-887X","issn":["2325-887X","2325-8861"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing in Cardiology Conference (CinC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.22489/cinc.2017.343-119","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039960867","display_name":"Dionisije Sopic","orcid":"https://orcid.org/0000-0003-2969-7553"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Dionisije Sopic","raw_affiliation_strings":["Embedded Systems Laboratory (ESL), Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Embedded Systems Laboratory (ESL), Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049891904","display_name":"Elisabetta De Giovanni","orcid":"https://orcid.org/0000-0003-3032-5140"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Elisabetta De Giovanni","raw_affiliation_strings":["Embedded Systems Laboratory (ESL), Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Embedded Systems Laboratory (ESL), Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024972825","display_name":"Amir Aminifar","orcid":"https://orcid.org/0000-0002-1673-4733"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Amir Aminifar","raw_affiliation_strings":["Embedded Systems Laboratory (ESL), Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Embedded Systems Laboratory (ESL), Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074236306","display_name":"David Atienza","orcid":"https://orcid.org/0000-0001-9536-4947"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"David Atienza","raw_affiliation_strings":["Embedded Systems Laboratory (ESL), Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Embedded Systems Laboratory (ESL), Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I5124864"],"apc_list":null,"apc_paid":null,"fwci":1.3626,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.79856534,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":"44","issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9990000128746033,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9940999746322632,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9861999750137329,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fiducial-marker","display_name":"Fiducial marker","score":0.862356424331665},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6089247465133667},{"id":"https://openalex.org/keywords/rhythm","display_name":"Rhythm","score":0.5986540913581848},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4985051155090332},{"id":"https://openalex.org/keywords/electrocardiography","display_name":"Electrocardiography","score":0.46828243136405945},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.391221284866333},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.20302417874336243},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.19300609827041626},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1820237636566162}],"concepts":[{"id":"https://openalex.org/C173974348","wikidata":"https://www.wikidata.org/wiki/Q1469893","display_name":"Fiducial marker","level":2,"score":0.862356424331665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6089247465133667},{"id":"https://openalex.org/C135343436","wikidata":"https://www.wikidata.org/wiki/Q170406","display_name":"Rhythm","level":2,"score":0.5986540913581848},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4985051155090332},{"id":"https://openalex.org/C2780040984","wikidata":"https://www.wikidata.org/wiki/Q79785","display_name":"Electrocardiography","level":2,"score":0.46828243136405945},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.391221284866333},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.20302417874336243},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.19300609827041626},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1820237636566162}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.22489/cinc.2017.343-119","is_oa":true,"landing_page_url":"https://doi.org/10.22489/cinc.2017.343-119","pdf_url":"https://doi.org/10.22489/cinc.2017.343-119","source":{"id":"https://openalex.org/S4220650825","display_name":"Computing in cardiology","issn_l":"2325-887X","issn":["2325-887X","2325-8861"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing in Cardiology Conference (CinC)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.22489/cinc.2017.343-119","is_oa":true,"landing_page_url":"https://doi.org/10.22489/cinc.2017.343-119","pdf_url":"https://doi.org/10.22489/cinc.2017.343-119","source":{"id":"https://openalex.org/S4220650825","display_name":"Computing in cardiology","issn_l":"2325-887X","issn":["2325-887X","2325-8861"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing in Cardiology Conference (CinC)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6600000262260437,"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality"}],"awards":[{"id":"https://openalex.org/G1003775557","display_name":null,"funder_award_id":"15048","funder_id":"https://openalex.org/F4320321942","funder_display_name":"Hasler Stiftung"},{"id":"https://openalex.org/G8107846841","display_name":null,"funder_award_id":"N62909-17-1-2006","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321942","display_name":"Hasler Stiftung","ror":"https://ror.org/04m3t9183"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2795027253.pdf","grobid_xml":"https://content.openalex.org/works/W2795027253.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W1676820704","https://openalex.org/W1854569936","https://openalex.org/W2004729966","https://openalex.org/W2039895830","https://openalex.org/W2084073756","https://openalex.org/W2106336403","https://openalex.org/W2122763650","https://openalex.org/W2155632266","https://openalex.org/W2162273778","https://openalex.org/W2509795914","https://openalex.org/W2547585100","https://openalex.org/W2794550444","https://openalex.org/W4211019019","https://openalex.org/W6683570177"],"related_works":["https://openalex.org/W2771387334","https://openalex.org/W3132530238","https://openalex.org/W4302796415","https://openalex.org/W2736890621","https://openalex.org/W3107474891","https://openalex.org/W2033914206","https://openalex.org/W2146076056","https://openalex.org/W2171069562","https://openalex.org/W3001835461","https://openalex.org/W2004440151"],"abstract_inverted_index":{"Atrial":[0],"Fibrillation":[1],"(AF)":[2],"is":[3,168,177,182],"a":[4,33,48,59,110,120],"type":[5],"of":[6,14,24,36,56,68,95,104,133,142,151,166,198],"cardiac":[7],"arrhythmia":[8],"that":[9,174,180],"significantly":[10],"increases":[11],"the":[12,22,66,131,138,146,153,162,196,199],"risk":[13],"stroke":[15],"and":[16,40,97,107,145,179,192],"heart":[17,77],"failure.":[18],"In":[19],"general,":[20],"in":[21,70],"case":[23],"patients":[25],"affected":[26],"by":[27],"AF,":[28,92],"their":[29],"electrocardiogram":[30],"(ECG)":[31],"shows":[32],"typical":[34],"pattern":[35],"irregular":[37],"RR":[38],"intervals":[39],"abnormal":[41],"P":[42],"waves.":[43],"However,":[44],"discriminating":[45],"AF":[46,186],"from":[47,53,187],"normal":[49,89,188],"sinus":[50,90],"rhythm":[51,78],"or":[52],"other":[54,93,190],"types":[55,94],"rhythms":[57],"remains":[58],"challenging":[60],"problem":[61],"today.":[62],"Methods:":[63],"We":[64,99,129],"analyze":[65],"database":[67,82],"PhysioNet/Computing":[69],"Cardiology":[71],"Challenge":[72],"2017":[73],"to":[74,184],"validate":[75],"our":[76,134,175],"classification":[79],"technique.":[80],"The":[81,155],"contains":[83],"short-term":[84],"ECG":[85,105,200],"recordings,":[86],"labelled":[87],"as":[88],"rhythm,":[91,96],"noise.":[98],"extract":[100],"different":[101],"morphology-based":[102],"features":[103],"signals,":[106],"we":[108],"design":[109],"multiclass":[111],"classifier":[112,123,176],"based":[113,136,194],"on":[114,137,161,195],"error-correcting":[115],"output":[116],"codes,":[117],"along":[118],"with":[119],"random":[121],"forest":[122],"for":[124],"binary":[125],"decision":[126],"making.":[127],"Results:":[128],"test":[130,164],"performance":[132],"classifiers":[135],"F":[139,148,157],"1":[140,149,158],"score":[141,150,159],"each":[143],"class":[144],"average":[147],"all":[152],"classes.":[154],"final":[156],"obtained":[160],"hidden":[163],"set":[165],"challenge":[167],"80%.":[169],"Conclusions:":[170],"Our":[171],"results":[172],"show":[173],"robust":[178],"it":[181],"able":[183],"discriminate":[185],"sinus,":[189],"rhythms,":[191],"noise,":[193],"morphology":[197],"signal.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2018-04-06T00:00:00"}