{"id":"https://openalex.org/W2026775633","doi":"https://doi.org/10.1109/bibm.2013.6732594","title":"Arrhythmia detection from heartbeat using k-nearest neighbor classifier","display_name":"Arrhythmia detection from heartbeat using k-nearest neighbor classifier","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2026775633","doi":"https://doi.org/10.1109/bibm.2013.6732594","mag":"2026775633"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2013.6732594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2013.6732594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Bioinformatics and Biomedicine","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/A5112060198","display_name":"Juyoung Park","orcid":"https://orcid.org/0000-0002-2301-8057"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Juyoung Park","raw_affiliation_strings":["Department of Computer Science & Engineering, Hanyang University, Ansan, Korea","Dept. of Comput. Sci. & Eng., Hanyang Univ., Ansan, South Korea#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Hanyang University, Ansan, Korea","institution_ids":["https://openalex.org/I4575257"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Eng., Hanyang Univ., Ansan, South Korea#TAB#","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033518530","display_name":"Kuyeon Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kuyeon Lee","raw_affiliation_strings":["Department of Computer Science & Engineering, Hanyang University, Ansan, Korea","Dept. of Comput. Sci. & Eng., Hanyang Univ., Ansan, South Korea#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Hanyang University, Ansan, Korea","institution_ids":["https://openalex.org/I4575257"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Eng., Hanyang Univ., Ansan, South Korea#TAB#","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014427808","display_name":"Kyungtae Kang","orcid":"https://orcid.org/0000-0002-6587-7044"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyungtae Kang","raw_affiliation_strings":["Department of Computer Science & Engineering, Hanyang University, Ansan, Korea","Dept. of Comput. Sci. & Eng., Hanyang Univ., Ansan, South Korea#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Hanyang University, Ansan, Korea","institution_ids":["https://openalex.org/I4575257"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Eng., Hanyang Univ., Ansan, South Korea#TAB#","institution_ids":["https://openalex.org/I4575257"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4575257"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":78,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"15","last_page":"22"},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9969000220298767,"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":0.9865000247955322,"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/heartbeat","display_name":"Heartbeat","score":0.9110281467437744},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7196066379547119},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6884665489196777},{"id":"https://openalex.org/keywords/qrs-complex","display_name":"QRS complex","score":0.6580158472061157},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6094383597373962},{"id":"https://openalex.org/keywords/electrocardiography","display_name":"Electrocardiography","score":0.56684410572052},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4821881353855133},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4680008292198181},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4454543888568878},{"id":"https://openalex.org/keywords/cardiac-arrhythmia","display_name":"Cardiac arrhythmia","score":0.4252264201641083},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4159695506095886},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.08704870939254761},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08320656418800354}],"concepts":[{"id":"https://openalex.org/C13852961","wikidata":"https://www.wikidata.org/wiki/Q17021880","display_name":"Heartbeat","level":2,"score":0.9110281467437744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7196066379547119},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6884665489196777},{"id":"https://openalex.org/C111773187","wikidata":"https://www.wikidata.org/wiki/Q1969239","display_name":"QRS complex","level":2,"score":0.6580158472061157},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6094383597373962},{"id":"https://openalex.org/C2780040984","wikidata":"https://www.wikidata.org/wiki/Q79785","display_name":"Electrocardiography","level":2,"score":0.56684410572052},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4821881353855133},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4680008292198181},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4454543888568878},{"id":"https://openalex.org/C2988455589","wikidata":"https://www.wikidata.org/wiki/Q189331","display_name":"Cardiac arrhythmia","level":3,"score":0.4252264201641083},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4159695506095886},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.08704870939254761},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08320656418800354},{"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/C2779161974","wikidata":"https://www.wikidata.org/wiki/Q815819","display_name":"Atrial fibrillation","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bibm.2013.6732594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2013.6732594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Bioinformatics and Biomedicine","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hanyang.ac.kr:20.500.11754/91074","is_oa":false,"landing_page_url":"https://ieeexplore.ieee.org/document/6732594/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401328","display_name":"The Royal Society of Chemistry\u2019s Journals, Books and Databases (The Royal Society of Chemistry)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2751430930","host_organization_name":"Royal Society of Chemistry","host_organization_lineage":["https://openalex.org/I2751430930"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1538967293","https://openalex.org/W1966130257","https://openalex.org/W1972637263","https://openalex.org/W1977224284","https://openalex.org/W1986307910","https://openalex.org/W1988183757","https://openalex.org/W1988566213","https://openalex.org/W1996894363","https://openalex.org/W2017487767","https://openalex.org/W2025492635","https://openalex.org/W2034409864","https://openalex.org/W2054763760","https://openalex.org/W2072661333","https://openalex.org/W2095409369","https://openalex.org/W2100537461","https://openalex.org/W2103308415","https://openalex.org/W2108396267","https://openalex.org/W2123922536","https://openalex.org/W2129090268","https://openalex.org/W2129357576","https://openalex.org/W2132300419","https://openalex.org/W2143707032","https://openalex.org/W2162273778","https://openalex.org/W2169533318","https://openalex.org/W2172135815","https://openalex.org/W2189148121","https://openalex.org/W6644430731"],"related_works":["https://openalex.org/W2766707595","https://openalex.org/W2811390910","https://openalex.org/W2146076056","https://openalex.org/W2883887418","https://openalex.org/W3021364800","https://openalex.org/W2126100045","https://openalex.org/W4313580541","https://openalex.org/W2998026623","https://openalex.org/W2907093095","https://openalex.org/W2026775633"],"abstract_inverted_index":{"Automatic":[0],"interpretation":[1],"of":[2,21,49,53,61,68,70,81,92,97,104,146,164,170,182,188],"electrocardiography":[3,64],"provides":[4],"a":[5,85,117,162,168,180,186],"non-invasive":[6],"and":[7,23,65,102,113,127,167,185],"inexpensive":[8],"technique":[9],"to":[10,30,46],"analyze":[11],"the":[12,47,50,59,66,100,124,134,138,140,155],"heart":[13,54],"activity":[14],"for":[15,87,173,191],"different":[16],"cardiac":[17],"conditions.":[18],"The":[19,106,150,159,176],"emergence":[20],"smartphones":[22],"wireless":[24],"networks":[25],"has":[26,43],"made":[27],"it":[28],"possible":[29],"perform":[31],"continuous":[32],"Holter":[33],"monitoring":[34,51],"on":[35,77],"patients":[36],"or":[37],"potential":[38],"patients.":[39],"Recently,":[40],"much":[41],"attention":[42],"been":[44],"paid":[45],"development":[48],"methodologies":[52],"activity,":[55],"which":[56],"include":[57],"both":[58],"detection":[60,101],"heartbeats":[62,109],"in":[63],"classification":[67,88,103],"types":[69,80,91],"heartbeats.":[71,82,93,105],"However,":[72],"many":[73],"studies":[74],"have":[75],"focused":[76],"classifying":[78],"limited":[79],"We":[83],"propose":[84],"system":[86,95,107,151,160,177],"into":[89],"17":[90],"This":[94],"consists":[96],"two":[98],"parts,":[99],"detects":[108],"through":[110],"repetitive":[111],"features":[112],"classifies":[114],"them":[115],"using":[116,133],"A-nearest":[118],"neighbor":[119],"algorithm.":[120,136],"Features":[121],"such":[122],"as":[123],"QRS":[125],"complex":[126],"P":[128],"wave":[129],"were":[130],"accurately":[131],"extracted":[132],"Pan-Tompkins":[135],"For":[137],"classifier,":[139],"distance":[141],"metric":[142],"is":[143],"an":[144],"adaptation":[145],"locally":[147],"weighted":[148],"regression.":[149],"was":[152],"validated":[153],"with":[154],"MIT-BIH":[156],"Arrhythmia":[157],"Database.":[158],"achieved":[161,179],"sensitivity":[163,181],"97.22":[165],"%":[166,172,184,190],"specificity":[169,187],"97.4":[171],"heartbeat":[174],"detection.":[175],"also":[178],"97.1":[183],"96.9":[189],"classification.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":21},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2016-06-24T00:00:00"}