{"id":"https://openalex.org/W4391381886","doi":"https://doi.org/10.1109/mwscas57524.2023.10406134","title":"Cardiac Arrhythmias Classification Using Machine Learning and Single-Lead ECG","display_name":"Cardiac Arrhythmias Classification Using Machine Learning and Single-Lead ECG","publication_year":2023,"publication_date":"2023-08-06","ids":{"openalex":"https://openalex.org/W4391381886","doi":"https://doi.org/10.1109/mwscas57524.2023.10406134"},"language":"en","primary_location":{"id":"doi:10.1109/mwscas57524.2023.10406134","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwscas57524.2023.10406134","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 66th International Midwest Symposium on Circuits and Systems (MWSCAS)","raw_type":"proceedings-article"},"type":"article","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/A5102915851","display_name":"Muhammad Nauman","orcid":"https://orcid.org/0000-0003-3173-2549"},"institutions":[{"id":"https://openalex.org/I207789805","display_name":"Lahore University of Management Sciences","ror":"https://ror.org/05b5x4a35","country_code":"PK","type":"education","lineage":["https://openalex.org/I207789805"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Muhammad Ali Nauman","raw_affiliation_strings":["LUMS,Electrical Engineering Department,Pakistan","Electrical Engineering Department, LUMS, Pakistan"],"affiliations":[{"raw_affiliation_string":"LUMS,Electrical Engineering Department,Pakistan","institution_ids":["https://openalex.org/I207789805"]},{"raw_affiliation_string":"Electrical Engineering Department, LUMS, Pakistan","institution_ids":["https://openalex.org/I207789805"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093740854","display_name":"Carson Failor","orcid":null},"institutions":[{"id":"https://openalex.org/I52669646","display_name":"Western Washington University","ror":"https://ror.org/05wn7r715","country_code":"US","type":"education","lineage":["https://openalex.org/I52669646"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carson Failor","raw_affiliation_strings":["WWU,Engineering and Design Department,Bellingham,WA","Engineering and Design Department, WWU, Bellingham, WA"],"affiliations":[{"raw_affiliation_string":"WWU,Engineering and Design Department,Bellingham,WA","institution_ids":["https://openalex.org/I52669646"]},{"raw_affiliation_string":"Engineering and Design Department, WWU, Bellingham, WA","institution_ids":["https://openalex.org/I52669646"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017185283","display_name":"Wala Saadeh","orcid":"https://orcid.org/0000-0002-6084-6396"},"institutions":[{"id":"https://openalex.org/I52669646","display_name":"Western Washington University","ror":"https://ror.org/05wn7r715","country_code":"US","type":"education","lineage":["https://openalex.org/I52669646"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wala Saadeh","raw_affiliation_strings":["WWU,Engineering and Design Department,Bellingham,WA","Engineering and Design Department, WWU, Bellingham, WA"],"affiliations":[{"raw_affiliation_string":"WWU,Engineering and Design Department,Bellingham,WA","institution_ids":["https://openalex.org/I52669646"]},{"raw_affiliation_string":"Engineering and Design Department, WWU, Bellingham, WA","institution_ids":["https://openalex.org/I52669646"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102915851"],"corresponding_institution_ids":["https://openalex.org/I207789805"],"apc_list":null,"apc_paid":null,"fwci":0.4492,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6988094,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"758","last_page":"762"},"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":0.9970999956130981,"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/T10217","display_name":"Cardiac electrophysiology and arrhythmias","score":0.994700014591217,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/electrocardiography","display_name":"Electrocardiography","score":0.5383286476135254},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.5319315195083618},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5303162932395935},{"id":"https://openalex.org/keywords/sinus-tachycardia","display_name":"Sinus tachycardia","score":0.5245447754859924},{"id":"https://openalex.org/keywords/atrial-fibrillation","display_name":"Atrial fibrillation","score":0.5169619917869568},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.5134688019752502},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4813702702522278},{"id":"https://openalex.org/keywords/sinus-rhythm","display_name":"Sinus rhythm","score":0.47517839074134827},{"id":"https://openalex.org/keywords/ventricular-tachycardia","display_name":"Ventricular tachycardia","score":0.4694461524486542},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.42802000045776367},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38806983828544617},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.36856281757354736}],"concepts":[{"id":"https://openalex.org/C2780040984","wikidata":"https://www.wikidata.org/wiki/Q79785","display_name":"Electrocardiography","level":2,"score":0.5383286476135254},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.5319315195083618},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5303162932395935},{"id":"https://openalex.org/C2780144208","wikidata":"https://www.wikidata.org/wiki/Q522229","display_name":"Sinus tachycardia","level":2,"score":0.5245447754859924},{"id":"https://openalex.org/C2779161974","wikidata":"https://www.wikidata.org/wiki/Q815819","display_name":"Atrial fibrillation","level":2,"score":0.5169619917869568},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.5134688019752502},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4813702702522278},{"id":"https://openalex.org/C2775914520","wikidata":"https://www.wikidata.org/wiki/Q12335414","display_name":"Sinus rhythm","level":3,"score":0.47517839074134827},{"id":"https://openalex.org/C2776331378","wikidata":"https://www.wikidata.org/wiki/Q56002","display_name":"Ventricular tachycardia","level":2,"score":0.4694461524486542},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.42802000045776367},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38806983828544617},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.36856281757354736},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mwscas57524.2023.10406134","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwscas57524.2023.10406134","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 66th International Midwest Symposium on Circuits and Systems (MWSCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1854569936","https://openalex.org/W1964897957","https://openalex.org/W1966297507","https://openalex.org/W2050259033","https://openalex.org/W2054421446","https://openalex.org/W2077204677","https://openalex.org/W2135694398","https://openalex.org/W2524020726","https://openalex.org/W2908066880","https://openalex.org/W2942522729","https://openalex.org/W2955516080","https://openalex.org/W2962423504","https://openalex.org/W2965307660","https://openalex.org/W2979962472","https://openalex.org/W3008167346","https://openalex.org/W3083983389","https://openalex.org/W3084352865","https://openalex.org/W3098699929","https://openalex.org/W3121032337","https://openalex.org/W3152614926","https://openalex.org/W3186454829","https://openalex.org/W4206135956","https://openalex.org/W4206445283","https://openalex.org/W4281262150","https://openalex.org/W4281658627"],"related_works":["https://openalex.org/W2107628111","https://openalex.org/W2394004323","https://openalex.org/W2398764543","https://openalex.org/W2027335291","https://openalex.org/W4210328553","https://openalex.org/W2171903035","https://openalex.org/W2106598802","https://openalex.org/W2071206959","https://openalex.org/W2376392640","https://openalex.org/W3173180809"],"abstract_inverted_index":{"Cardiac":[0],"arrhythmias":[1],"are":[2,70,96,119],"associated":[3],"with":[4,160,184],"an":[5,35],"elevated":[6],"risk":[7],"of":[8,19,22,42,86,114,150,166,188],"myocardial":[9],"infarction,":[10],"stroke,":[11],"and":[12,16,29,61,80,91,103,124,129,198],"other":[13],"abnormalities.":[14],"Accurate":[15],"timely":[17],"identification":[18],"the":[20,73,112,122,147,172],"type":[21,113],"arrhythmia":[23],"enables":[24],"cardiologists":[25],"to":[26,38,105,110,121],"provide":[27],"prompt":[28],"appropriate":[30],"treatment.":[31],"This":[32],"paper":[33],"presents":[34],"accurate":[36],"approach":[37],"detect":[39],"6":[40],"types":[41],"heart":[43,92],"rhythms":[44],"(Sinus":[45],"Bradycardia":[46],"(SB),":[47],"Sinus":[48,55,58,62],"ventricular":[49],"Tachycardia":[50,56],"(SVT),":[51],"Atrial":[52],"Fibrillation":[53],"(AFIB),":[54],"(ST),":[57],"Irregularity":[59],"(SI),":[60],"Rhythm":[63],"(SR))":[64],"from":[65,171],"single-lead":[66,117,182],"ECG.":[67],"ECG":[68,144,178],"recordings":[69],"de-noised":[71],"by":[72],"Butterworth":[74],"filter,":[75],"Non-Local":[76],"Mean":[77],"(NLM)":[78],"smoothing,":[79],"robust":[81],"LOESS.":[82],"A":[83],"wide":[84],"range":[85],"amplitude,":[87],"spectral,":[88],"nonlinear,":[89],"entropy,":[90],"rate":[93],"variability":[94],"features":[95],"selected":[97],"based":[98],"on":[99,131,141,176],"feature":[100],"permutation":[101],"importance":[102],"fed":[104],"various":[106],"machine":[107],"learning":[108],"models":[109,118,159],"classify":[111],"rhythm.":[115],"The":[116,134,163,180],"compared":[120],"12-lead":[123,177],"evaluated":[125],"using":[126],"5-fold":[127],"cross-validation":[128],"testing":[130],"2277":[132],"patients.":[133],"Histogram":[135],"Gradient":[136],"Boosting":[137],"(HGB)":[138],"model":[139,174],"trained":[140,175],"lead":[142],"II":[143],"data":[145],"offers":[146],"best":[148],"results":[149],"97.6":[151],"<sup":[152],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[153],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">%</sup>":[154],"accuracy":[155,165],"among":[156],"single":[157],"lead-trained":[158],"fewer":[161],"features.":[162],"highest":[164],"98.4%":[167],"is":[168,192],"also":[169],"obtained":[170],"HGB":[173],"data.":[179],"proposed":[181],"detection":[183],"a":[185,193],"smaller":[186],"set":[187],"features,":[189],"i.e.":[190],"35,":[191],"promising":[194],"solution":[195],"for":[196],"low-power":[197],"low-resource":[199],"environments.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}
