{"id":"https://openalex.org/W4213017200","doi":"https://doi.org/10.3390/s22041660","title":"ECG Recurrence Plot-Based Arrhythmia Classification Using Two-Dimensional Deep Residual CNN Features","display_name":"ECG Recurrence Plot-Based Arrhythmia Classification Using Two-Dimensional Deep Residual CNN Features","publication_year":2022,"publication_date":"2022-02-20","ids":{"openalex":"https://openalex.org/W4213017200","doi":"https://doi.org/10.3390/s22041660","pmid":"https://pubmed.ncbi.nlm.nih.gov/35214561"},"language":"en","primary_location":{"id":"doi:10.3390/s22041660","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22041660","pdf_url":"https://www.mdpi.com/1424-8220/22/4/1660/pdf?version=1645513179","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/4/1660/pdf?version=1645513179","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001155294","display_name":"Bhekumuzi M. Mathunjwa","orcid":null},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Bhekumuzi M. Mathunjwa","raw_affiliation_strings":["Department of Mechanical Engineering, Yuan Ze University, Taoyuan 32003, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Yuan Ze University, Taoyuan 32003, Taiwan","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073942765","display_name":"Yin-Tsong Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yin-Tsong Lin","raw_affiliation_strings":["AI R&D Department, New Era AI Robotic Inc., Taipei 10571, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI R&D Department, New Era AI Robotic Inc., Taipei 10571, Taiwan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102799644","display_name":"Chien\u2010Hung Lin","orcid":"https://orcid.org/0000-0003-2338-8477"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chien-Hung Lin","raw_affiliation_strings":["AI R&D Department, New Era AI Robotic Inc., Taipei 10571, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI R&D Department, New Era AI Robotic Inc., Taipei 10571, Taiwan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091511508","display_name":"Maysam Abbod","orcid":"https://orcid.org/0000-0002-8515-7933"},"institutions":[{"id":"https://openalex.org/I59433898","display_name":"Brunel University of London","ror":"https://ror.org/00dn4t376","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I59433898"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Maysam F. Abbod","raw_affiliation_strings":["Department of Electronics and Electrical Engineering, Brunel University London, London UB8 3PH, UK"],"raw_orcid":"https://orcid.org/0000-0002-8515-7933","affiliations":[{"raw_affiliation_string":"Department of Electronics and Electrical Engineering, Brunel University London, London UB8 3PH, UK","institution_ids":["https://openalex.org/I59433898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010853066","display_name":"Muammar Sadrawi","orcid":"https://orcid.org/0000-0002-2818-242X"},"institutions":[{"id":"https://openalex.org/I4210137722","display_name":"Indonesia International Institute for Life Sciences","ror":"https://ror.org/03rab9n37","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210137722"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Muammar Sadrawi","raw_affiliation_strings":["Department of Bioinformatics, School of Life Sciences, Indonesia International Institute for Life Sciences, Jl. Pulomas Barat Kav 88, Jakarta 13210, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Bioinformatics, School of Life Sciences, Indonesia International Institute for Life Sciences, Jl. Pulomas Barat Kav 88, Jakarta 13210, Indonesia","institution_ids":["https://openalex.org/I4210137722"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027079662","display_name":"Jiann-Shing Shieh","orcid":"https://orcid.org/0000-0002-6407-5090"},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Jiann-Shing Shieh","raw_affiliation_strings":["Department of Mechanical Engineering, Yuan Ze University, Taoyuan 32003, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Yuan Ze University, Taoyuan 32003, Taiwan","institution_ids":["https://openalex.org/I99908691"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5027079662"],"corresponding_institution_ids":["https://openalex.org/I99908691"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":9.9193,"has_fulltext":false,"cited_by_count":64,"citation_normalized_percentile":{"value":0.98781016,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"22","issue":"4","first_page":"1660","last_page":"1660"},"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/T10217","display_name":"Cardiac electrophysiology and arrhythmias","score":0.9966999888420105,"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":0.9958000183105469,"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/atrial-fibrillation","display_name":"Atrial fibrillation","score":0.6265192031860352},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5615398287773132},{"id":"https://openalex.org/keywords/ventricular-fibrillation","display_name":"Ventricular fibrillation","score":0.525652289390564},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5010828971862793},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.478130966424942},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47632914781570435},{"id":"https://openalex.org/keywords/cardiac-arrhythmia","display_name":"Cardiac arrhythmia","score":0.4516521990299225},{"id":"https://openalex.org/keywords/ventricular-tachycardia","display_name":"Ventricular tachycardia","score":0.43331605195999146},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.41086524724960327},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.3341851234436035},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2816820442676544},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13738423585891724}],"concepts":[{"id":"https://openalex.org/C2779161974","wikidata":"https://www.wikidata.org/wiki/Q815819","display_name":"Atrial fibrillation","level":2,"score":0.6265192031860352},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5615398287773132},{"id":"https://openalex.org/C2781005686","wikidata":"https://www.wikidata.org/wiki/Q848662","display_name":"Ventricular fibrillation","level":2,"score":0.525652289390564},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5010828971862793},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.478130966424942},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47632914781570435},{"id":"https://openalex.org/C2988455589","wikidata":"https://www.wikidata.org/wiki/Q189331","display_name":"Cardiac arrhythmia","level":3,"score":0.4516521990299225},{"id":"https://openalex.org/C2776331378","wikidata":"https://www.wikidata.org/wiki/Q56002","display_name":"Ventricular tachycardia","level":2,"score":0.43331605195999146},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.41086524724960327},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.3341851234436035},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2816820442676544},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13738423585891724}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014693","descriptor_name":"Ventricular Fibrillation","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D014693","descriptor_name":"Ventricular Fibrillation","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D014693","descriptor_name":"Ventricular Fibrillation","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D014693","descriptor_name":"Ventricular Fibrillation","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D017180","descriptor_name":"Tachycardia, Ventricular","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D017180","descriptor_name":"Tachycardia, Ventricular","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D017180","descriptor_name":"Tachycardia, Ventricular","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D017180","descriptor_name":"Tachycardia, Ventricular","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D018879","descriptor_name":"Ventricular Premature Complexes","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D018879","descriptor_name":"Ventricular Premature Complexes","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D018879","descriptor_name":"Ventricular Premature Complexes","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D018879","descriptor_name":"Ventricular Premature Complexes","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true}],"locations_count":6,"locations":[{"id":"doi:10.3390/s22041660","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22041660","pdf_url":"https://www.mdpi.com/1424-8220/22/4/1660/pdf?version=1645513179","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:35214561","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35214561","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:bura.brunel.ac.uk:2438/24237","is_oa":true,"landing_page_url":"https://bura.brunel.ac.uk/handle/2438/24237","pdf_url":null,"source":{"id":"https://openalex.org/S4306401473","display_name":"Brunel University Research Archive (BURA) (Brunel University London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59433898","host_organization_name":"Brunel University of London","host_organization_lineage":["https://openalex.org/I59433898"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:16fb7aea1ecf4771a929e7073c2150c1","is_oa":true,"landing_page_url":"https://doaj.org/article/16fb7aea1ecf4771a929e7073c2150c1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 4, p 1660 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/4/1660/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22041660","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 4; Pages: 1660","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8877903","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8877903","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22041660","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22041660","pdf_url":"https://www.mdpi.com/1424-8220/22/4/1660/pdf?version=1645513179","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G133040822","display_name":null,"funder_award_id":"MOST 110-2221-E-155-004-MY2","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4213017200.pdf","grobid_xml":"https://content.openalex.org/works/W4213017200.grobid-xml"},"referenced_works_count":75,"referenced_works":["https://openalex.org/W1078725845","https://openalex.org/W1569098853","https://openalex.org/W1677182931","https://openalex.org/W1836465849","https://openalex.org/W1981982281","https://openalex.org/W2024247344","https://openalex.org/W2026821950","https://openalex.org/W2039459330","https://openalex.org/W2049001544","https://openalex.org/W2063923412","https://openalex.org/W2071901586","https://openalex.org/W2072649744","https://openalex.org/W2081681829","https://openalex.org/W2091076299","https://openalex.org/W2095409369","https://openalex.org/W2099593264","https://openalex.org/W2106731489","https://openalex.org/W2117130368","https://openalex.org/W2137028279","https://openalex.org/W2157335198","https://openalex.org/W2162800060","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2202063965","https://openalex.org/W2251133041","https://openalex.org/W2289846183","https://openalex.org/W2296343934","https://openalex.org/W2513430955","https://openalex.org/W2534692484","https://openalex.org/W2566861424","https://openalex.org/W2568858846","https://openalex.org/W2620656322","https://openalex.org/W2702116941","https://openalex.org/W2745699887","https://openalex.org/W2748902594","https://openalex.org/W2749587125","https://openalex.org/W2755507768","https://openalex.org/W2767728688","https://openalex.org/W2768799535","https://openalex.org/W2782709127","https://openalex.org/W2794022343","https://openalex.org/W2795195252","https://openalex.org/W2795340004","https://openalex.org/W2806806521","https://openalex.org/W2808112966","https://openalex.org/W2884238387","https://openalex.org/W2889838428","https://openalex.org/W2896644476","https://openalex.org/W2905877654","https://openalex.org/W2938651781","https://openalex.org/W2946273500","https://openalex.org/W2953193031","https://openalex.org/W2965307660","https://openalex.org/W2967464400","https://openalex.org/W2984759351","https://openalex.org/W2994720754","https://openalex.org/W3003299879","https://openalex.org/W3006201615","https://openalex.org/W3018079365","https://openalex.org/W3036776350","https://openalex.org/W3082616142","https://openalex.org/W3093699748","https://openalex.org/W3129130955","https://openalex.org/W3152010813","https://openalex.org/W3161273030","https://openalex.org/W3184037999","https://openalex.org/W3185043298","https://openalex.org/W3188715539","https://openalex.org/W3199476639","https://openalex.org/W3204788325","https://openalex.org/W4235570956","https://openalex.org/W4254214865","https://openalex.org/W6684191040","https://openalex.org/W6684665197","https://openalex.org/W6776548692"],"related_works":["https://openalex.org/W2036876924","https://openalex.org/W2170901253","https://openalex.org/W2156558544","https://openalex.org/W2277699573","https://openalex.org/W2014521635","https://openalex.org/W1983356771","https://openalex.org/W2049667380","https://openalex.org/W2616894838","https://openalex.org/W111420393","https://openalex.org/W1994244489"],"abstract_inverted_index":{"In":[0,76],"this":[1,30,77,185],"paper,":[2],"an":[3,63],"effective":[4],"electrocardiogram":[5],"(ECG)":[6],"recurrence":[7],"plot":[8],"(RP)-based":[9],"arrhythmia":[10,210],"classification":[11,80],"algorithm":[12],"that":[13,234],"can":[14],"be":[15],"implemented":[16],"in":[17,118,172,190],"portable":[18,195],"devices":[19],"is":[20,81,201],"presented.":[21],"Public":[22],"databases":[23],"from":[24],"PhysioNet":[25],"were":[26,58,68,114],"used":[27,69],"to":[28,72,83,92,135],"conduct":[29],"study":[31],"including":[32],"the":[33,38,42,49,73,85,100,119,131,173,199,221,236],"MIT-BIH":[34,39,43],"Atrial":[35],"Fibrillation":[36],"Database,":[37,41,47],"Arrhythmia":[40],"Malignant":[44],"Ventricular":[45,52],"Ectopy":[46],"and":[48,60,65,97,110,140,147,152,159,161,165,227],"Creighton":[50],"University":[51],"Tachyarrhythmia":[53],"Database.":[54],"ECG":[55],"time":[56],"series":[57],"segmented":[59],"converted":[61],"using":[62,116,126],"RP,":[64],"two-dimensional":[66],"images":[67],"as":[70,194],"inputs":[71],"CNN":[74],"classifiers.":[75],"study,":[78,183],"two-stage":[79],"proposed":[82],"improve":[84],"accuracy.":[86],"The":[87,122],"ResNet-18":[88],"architecture":[89],"was":[90,124,176],"applied":[91],"detect":[93],"ventricular":[94,112],"fibrillation":[95],"(VF)":[96],"noise":[98],"during":[99],"first":[101,139,203,237],"stage,":[102],"whereas":[103],"normal,":[104],"atrial":[105,108],"fibrillation,":[106],"premature":[107,111],"contraction,":[109],"contractions":[113],"detected":[115],"ResNet-50":[117],"second":[120,141],"stage.":[121],"method":[123,200],"evaluated":[125],"5-fold":[127,170],"cross-validation":[128],"which":[129,216],"improved":[130],"results":[132],"when":[133,178],"compared":[134,179],"previous":[136,182],"studies,":[137],"achieving":[138],"stage":[142,204,238],"average":[143],"accuracies":[144],"of":[145,150,157,163],"97.21%":[146],"98.36%,":[148],"sensitivities":[149],"96.49%":[151],"97.92%,":[153],"positive":[154],"predictive":[155],"values":[156],"95.54%":[158],"98.20%,":[160],"F1-scores":[162],"95.96%":[164],"98.05%,":[166],"respectively.":[167],"Furthermore,":[168],"a":[169,181,231],"improvement":[171],"memory":[174],"requirement":[175],"achieved":[177],"with":[180],"making":[184],"classifier":[186],"feasible":[187],"for":[188,220,225],"use":[189],"resource-constricted":[191],"environments":[192],"such":[193],"devices.":[196],"Even":[197],"though":[198],"successful,":[202],"training":[205],"requires":[206],"combining":[207],"four":[208],"different":[209],"types":[211],"into":[212],"one":[213],"label":[214],"(other),":[215],"generates":[217],"more":[218],"data":[219,232],"other":[222],"category":[223],"than":[224],"VF":[226],"noise,":[228],"thus":[229],"creating":[230],"imbalance":[233],"affects":[235],"performance.":[239]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":8}],"updated_date":"2026-05-08T15:41:06.802602","created_date":"2025-10-10T00:00:00"}