{"id":"https://openalex.org/W2795210807","doi":"https://doi.org/10.22489/cinc.2017.179-403","title":"Cardiac Rhythm Classification from a Short Single Lead ECG Recording via Random Forest","display_name":"Cardiac Rhythm Classification from a Short Single Lead ECG Recording via Random Forest","publication_year":2017,"publication_date":"2017-09-14","ids":{"openalex":"https://openalex.org/W2795210807","doi":"https://doi.org/10.22489/cinc.2017.179-403","mag":"2795210807"},"language":"en","primary_location":{"id":"doi:10.22489/cinc.2017.179-403","is_oa":true,"landing_page_url":"https://doi.org/10.22489/cinc.2017.179-403","pdf_url":"https://doi.org/10.22489/cinc.2017.179-403","source":{"id":"https://openalex.org/S4220650825","display_name":"Computing in cardiology","issn_l":"2325-8861","issn":["2325-8861","2325-887X"],"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":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.22489/cinc.2017.179-403","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036370850","display_name":"Ruhi Mahajan","orcid":"https://orcid.org/0000-0002-0284-7307"},"institutions":[{"id":"https://openalex.org/I160606119","display_name":"University of Tennessee Health Science Center","ror":"https://ror.org/0011qv509","country_code":"US","type":"education","lineage":["https://openalex.org/I160606119"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ruhi Mahajan","raw_affiliation_strings":["University of Tennessee Health Science Center, Memphis, TN, USA"],"affiliations":[{"raw_affiliation_string":"University of Tennessee Health Science Center, Memphis, TN, USA","institution_ids":["https://openalex.org/I160606119"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012511062","display_name":"Rishikesan Kamaleswaran","orcid":"https://orcid.org/0000-0001-8366-4811"},"institutions":[{"id":"https://openalex.org/I160606119","display_name":"University of Tennessee Health Science Center","ror":"https://ror.org/0011qv509","country_code":"US","type":"education","lineage":["https://openalex.org/I160606119"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rishikesan Kamaleswaran","raw_affiliation_strings":["University of Tennessee Health Science Center, Memphis, TN, USA"],"affiliations":[{"raw_affiliation_string":"University of Tennessee Health Science Center, Memphis, TN, USA","institution_ids":["https://openalex.org/I160606119"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001262262","display_name":"A Howe","orcid":"https://orcid.org/0000-0002-3553-1990"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"John Andrew Howe","raw_affiliation_strings":["Independent Researcher, Riyadh, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Independent Researcher, Riyadh, Saudi Arabia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047770817","display_name":"O\u011fuz Akbilgi\u00e7","orcid":"https://orcid.org/0000-0003-0313-9254"},"institutions":[{"id":"https://openalex.org/I160606119","display_name":"University of Tennessee Health Science Center","ror":"https://ror.org/0011qv509","country_code":"US","type":"education","lineage":["https://openalex.org/I160606119"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Oguz Akbilgic","raw_affiliation_strings":["University of Tennessee Health Science Center, Memphis, TN, USA"],"affiliations":[{"raw_affiliation_string":"University of Tennessee Health Science Center, Memphis, TN, USA","institution_ids":["https://openalex.org/I160606119"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036370850"],"corresponding_institution_ids":["https://openalex.org/I160606119"],"apc_list":null,"apc_paid":null,"fwci":2.9781,"has_fulltext":true,"cited_by_count":49,"citation_normalized_percentile":{"value":0.92904144,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"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/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/T10065","display_name":"Atrial Fibrillation Management and Outcomes","score":0.9939000010490417,"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":0.9926000237464905,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/rhythm","display_name":"Rhythm","score":0.7639627456665039},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6518424153327942},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4790010154247284},{"id":"https://openalex.org/keywords/lead","display_name":"Lead (geology)","score":0.47282493114471436},{"id":"https://openalex.org/keywords/electrocardiography","display_name":"Electrocardiography","score":0.44704723358154297},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37907394766807556},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32705259323120117},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.21738344430923462},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.16907376050949097},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.16092956066131592},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11167216300964355}],"concepts":[{"id":"https://openalex.org/C135343436","wikidata":"https://www.wikidata.org/wiki/Q170406","display_name":"Rhythm","level":2,"score":0.7639627456665039},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6518424153327942},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4790010154247284},{"id":"https://openalex.org/C2777093003","wikidata":"https://www.wikidata.org/wiki/Q6508345","display_name":"Lead (geology)","level":2,"score":0.47282493114471436},{"id":"https://openalex.org/C2780040984","wikidata":"https://www.wikidata.org/wiki/Q79785","display_name":"Electrocardiography","level":2,"score":0.44704723358154297},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37907394766807556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32705259323120117},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.21738344430923462},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16907376050949097},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.16092956066131592},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11167216300964355},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.22489/cinc.2017.179-403","is_oa":true,"landing_page_url":"https://doi.org/10.22489/cinc.2017.179-403","pdf_url":"https://doi.org/10.22489/cinc.2017.179-403","source":{"id":"https://openalex.org/S4220650825","display_name":"Computing in cardiology","issn_l":"2325-8861","issn":["2325-8861","2325-887X"],"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.2017.179-403","is_oa":true,"landing_page_url":"https://doi.org/10.22489/cinc.2017.179-403","pdf_url":"https://doi.org/10.22489/cinc.2017.179-403","source":{"id":"https://openalex.org/S4220650825","display_name":"Computing in cardiology","issn_l":"2325-8861","issn":["2325-8861","2325-887X"],"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":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2795210807.pdf","grobid_xml":"https://content.openalex.org/works/W2795210807.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W78766501","https://openalex.org/W2036605610","https://openalex.org/W2053908484","https://openalex.org/W2074334843","https://openalex.org/W2094757280","https://openalex.org/W2118183148","https://openalex.org/W2131103247","https://openalex.org/W2162273778","https://openalex.org/W2162800060","https://openalex.org/W2337376641","https://openalex.org/W2749610039","https://openalex.org/W2754527560","https://openalex.org/W2789248547","https://openalex.org/W2794550444","https://openalex.org/W6603216745","https://openalex.org/W6674430898"],"related_works":["https://openalex.org/W2072492413","https://openalex.org/W2997159972","https://openalex.org/W4296378967","https://openalex.org/W2064134577","https://openalex.org/W2373995729","https://openalex.org/W3203096336","https://openalex.org/W2393707162","https://openalex.org/W2027715794","https://openalex.org/W4255463199","https://openalex.org/W2515674968"],"abstract_inverted_index":{"The":[0,51],"task":[1],"of":[2,86,97,133],"the":[3,12,73,89,113,130],"PhysioNet/Computing":[4],"in":[5],"Cardiology":[6],"2017":[7],"challenge":[8],"is":[9,117],"to":[10,38,57,119],"distinguish":[11],"AF":[13],"rhythms":[14,17],"from":[15,123],"non-AF":[16],"using":[18,59],"a":[19,60,68,80,124],"short":[20,134],"single":[21,125],"lead":[22,126],"ECG":[23,127],"recording.":[24],"In":[25],"this":[26],"study,":[27],"we":[28,92],"analyzed":[29],"62":[30],"time":[31],"and":[32,35,78,100,105],"frequency-domain,":[33],"linear,":[34],"nonlinear":[36],"features":[37],"discriminate":[39],"four":[40],"classes,":[41],"viz.,":[42],"normal":[43],"sinus":[44],"rhythm,":[45],"AF,":[46,104],"noisy,":[47],"or":[48],"other":[49,106],"rhythm.":[50],"feature":[52,64],"space":[53],"dimension":[54],"was":[55],"reduced":[56],"37":[58],"Genetic":[61],"Algorithm":[62],"based":[63],"selection.":[65],"We":[66],"trained":[67],"random":[69],"forest":[70],"classifier":[71],"on":[72],"given":[74],"8,528":[75],"training":[76],"dataset":[77],"obtained":[79,93],"ten-fold":[81],"cross":[82],"validation":[83],"classification":[84],"accuracy":[85],"82.7%.":[87],"On":[88],"test":[90],"dataset,":[91],"an":[94],"F":[95],"1score":[96],"0.91,":[98],"0.74,":[99],"0.70":[101],"for":[102],"NSR,":[103],"rhythms,":[107],"respectively.":[108],"Results":[109],"suggest":[110],"that":[111],"with":[112],"proposed":[114],"model":[115],"it":[116],"possible":[118],"classify":[120],"cardiac":[121],"abnormalities":[122],"even":[128],"when":[129],"recordings":[131],"are":[132],"duration.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":2}],"updated_date":"2026-01-26T23:06:41.788003","created_date":"2025-10-10T00:00:00"}