{"id":"https://openalex.org/W3154322066","doi":"https://doi.org/10.34028/iajit/18/3/3","title":"Detection of Bundle Branch Block using Higher Order Statistics and Temporal Features","display_name":"Detection of Bundle Branch Block using Higher Order Statistics and Temporal Features","publication_year":2021,"publication_date":"2021-04-18","ids":{"openalex":"https://openalex.org/W3154322066","doi":"https://doi.org/10.34028/iajit/18/3/3","mag":"3154322066"},"language":"en","primary_location":{"id":"doi:10.34028/iajit/18/3/3","is_oa":true,"landing_page_url":"https://doi.org/10.34028/iajit/18/3/3","pdf_url":"https://doi.org/10.34028/iajit/18/3/3","source":{"id":"https://openalex.org/S100666833","display_name":"The International Arab Journal of Information Technology","issn_l":"1683-3198","issn":["1683-3198","2309-4524"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4362726017","host_organization_name":"Zarqa University","host_organization_lineage":["https://openalex.org/P4362726017"],"host_organization_lineage_names":["Zarqa University"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Arab Journal of Information Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.34028/iajit/18/3/3","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090327128","display_name":"Yasin Kaya","orcid":"https://orcid.org/0000-0002-9074-0189"},"institutions":[{"id":"https://openalex.org/I50379099","display_name":"Adana Science and Technology University","ror":"https://ror.org/013z3yn41","country_code":"TR","type":"education","lineage":["https://openalex.org/I50379099"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Yasin Kaya","raw_affiliation_strings":["Department of Computer Engineering, Adana Alparslan Trke Science and Technology University, Turkey","Department of Computer Engineering, Adana Alparslan T\u00fcrke\u015f Science and Technology University, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Adana Alparslan Trke Science and Technology University, Turkey","institution_ids":["https://openalex.org/I50379099"]},{"raw_affiliation_string":"Department of Computer Engineering, Adana Alparslan T\u00fcrke\u015f Science and Technology University, Turkey","institution_ids":["https://openalex.org/I50379099"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5090327128"],"corresponding_institution_ids":["https://openalex.org/I50379099"],"apc_list":null,"apc_paid":null,"fwci":1.748,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.8582173,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"18","issue":"3","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":0.9980999827384949,"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":0.9980999827384949,"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":0.9545999765396118,"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/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9386000037193298,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7107551693916321},{"id":"https://openalex.org/keywords/right-bundle-branch-block","display_name":"Right bundle branch block","score":0.7028719186782837},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.697586178779602},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6113259792327881},{"id":"https://openalex.org/keywords/left-bundle-branch-block","display_name":"Left bundle branch block","score":0.6104031205177307},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6090471744537354},{"id":"https://openalex.org/keywords/beat","display_name":"Beat (acoustics)","score":0.5723806023597717},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5213629007339478},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.47287553548812866},{"id":"https://openalex.org/keywords/electrocardiography","display_name":"Electrocardiography","score":0.27331292629241943},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.09027025103569031},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.058932989835739136}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7107551693916321},{"id":"https://openalex.org/C2780350126","wikidata":"https://www.wikidata.org/wiki/Q180375","display_name":"Right bundle branch block","level":3,"score":0.7028719186782837},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.697586178779602},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6113259792327881},{"id":"https://openalex.org/C2777473070","wikidata":"https://www.wikidata.org/wiki/Q2143688","display_name":"Left bundle branch block","level":3,"score":0.6104031205177307},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6090471744537354},{"id":"https://openalex.org/C189809214","wikidata":"https://www.wikidata.org/wiki/Q829522","display_name":"Beat (acoustics)","level":2,"score":0.5723806023597717},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5213629007339478},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.47287553548812866},{"id":"https://openalex.org/C2780040984","wikidata":"https://www.wikidata.org/wiki/Q79785","display_name":"Electrocardiography","level":2,"score":0.27331292629241943},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.09027025103569031},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.058932989835739136},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2778198053","wikidata":"https://www.wikidata.org/wiki/Q181754","display_name":"Heart failure","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.34028/iajit/18/3/3","is_oa":true,"landing_page_url":"https://doi.org/10.34028/iajit/18/3/3","pdf_url":"https://doi.org/10.34028/iajit/18/3/3","source":{"id":"https://openalex.org/S100666833","display_name":"The International Arab Journal of Information Technology","issn_l":"1683-3198","issn":["1683-3198","2309-4524"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4362726017","host_organization_name":"Zarqa University","host_organization_lineage":["https://openalex.org/P4362726017"],"host_organization_lineage_names":["Zarqa University"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Arab Journal of Information Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.34028/iajit/18/3/3","is_oa":true,"landing_page_url":"https://doi.org/10.34028/iajit/18/3/3","pdf_url":"https://doi.org/10.34028/iajit/18/3/3","source":{"id":"https://openalex.org/S100666833","display_name":"The International Arab Journal of Information Technology","issn_l":"1683-3198","issn":["1683-3198","2309-4524"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4362726017","host_organization_name":"Zarqa University","host_organization_lineage":["https://openalex.org/P4362726017"],"host_organization_lineage_names":["Zarqa University"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Arab Journal of Information Technology","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3154322066.pdf","grobid_xml":"https://content.openalex.org/works/W3154322066.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W67460294","https://openalex.org/W632910230","https://openalex.org/W2023335485","https://openalex.org/W2087327261","https://openalex.org/W2095409369","https://openalex.org/W2116512366","https://openalex.org/W2285935982","https://openalex.org/W2289821632","https://openalex.org/W2291135093","https://openalex.org/W2325506996","https://openalex.org/W2404708503","https://openalex.org/W2416139271","https://openalex.org/W2473956994","https://openalex.org/W2478425448","https://openalex.org/W2554292798","https://openalex.org/W2594746820","https://openalex.org/W2756047138","https://openalex.org/W2771170013","https://openalex.org/W2797955897","https://openalex.org/W2942497026","https://openalex.org/W2961638199","https://openalex.org/W3002170060","https://openalex.org/W3035964173","https://openalex.org/W4212817109","https://openalex.org/W6701371945"],"related_works":["https://openalex.org/W2107198525","https://openalex.org/W2109623333","https://openalex.org/W2891292415","https://openalex.org/W3006061524","https://openalex.org/W2611218478","https://openalex.org/W1965229134","https://openalex.org/W1490229056","https://openalex.org/W2090102624","https://openalex.org/W4321499526","https://openalex.org/W1598207381"],"abstract_inverted_index":{"Bundle":[0,103,109],"Branch":[1,104,110],"Block":[2,105,111],"(BBB)":[3],"beats":[4,122],"are":[5],"the":[6,30,45,96,119,129,136,140,161,167,174,181],"most":[7],"common":[8],"Electrocardiogram":[9],"(ECG)":[10],"arrhythmias":[11],"and":[12,39,44,58,74,86,107],"can":[13],"be":[14,178],"indicators":[15],"of":[16,32,139,183],"significant":[17],"heart":[18],"disease.":[19],"This":[20],"study":[21,168],"aimed":[22],"to":[23,94,177],"provide":[24],"an":[25],"effective":[26],"machine-learning":[27],"method":[28],"for":[29,63,150],"detection":[31,182],"BBB":[33,151,184],"beats.":[34,185],"To":[35],"this":[36,82],"purpose,":[37],"statistical":[38],"temporal":[40],"features":[41,159],"were":[42,61,78,90,116,133,143],"calculated":[43,91],"more":[46],"valuable":[47],"ones":[48],"searched":[49],"using":[50,156],"feature":[51,64,141],"selection":[52],"algorithms.":[53],"Forward":[54],"search,":[55],"backward":[56,157],"elimination":[57],"genetic":[59],"algorithms":[60],"used":[62,79,117,134],"selection.":[65],"Three":[66],"different":[67],"classifiers,":[68],"K-Nearest":[69],"Neighbors":[70],"(KNN),":[71],"neural":[72],"networks,":[73],"support":[75],"vector":[76],"machines,":[77],"comparatively":[80],"in":[81,92,118,128,135,166,180],"study.":[83,120],"Accuracy,":[84],"specificity,":[85],"sensitivity":[87],"performance":[88],"metrics":[89],"order":[93],"compare":[95],"results.":[97],"Normal":[98],"sinus":[99],"rhythm":[100],"(N),":[101],"Right":[102],"(RBBB),":[106],"Left":[108],"(LBBB)":[112],"ECG":[113],"beat":[114,126],"types":[115,127],"All":[121,138],"containing":[123],"these":[124],"three":[125],"MIT-BIH":[130],"arrhythmia":[131],"database":[132],"experiments.":[137],"sets":[142],"obtained":[144],"at":[145],"a":[146],"promising":[147],"classification":[148,163],"accuracy":[149,164],"classification.":[152],"The":[153,171],"KNN":[154],"classifier":[155],"elimination-selected":[158],"achieved":[160],"highest":[162],"results":[165,172],"with":[169],"99.82%.":[170],"showed":[173],"proposed":[175],"approach":[176],"successful":[179]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3}],"updated_date":"2026-05-28T09:10:13.091523","created_date":"2025-10-10T00:00:00"}
