{"id":"https://openalex.org/W1018105537","doi":null,"title":"Detection of Arrhythmia from ECG Signals by a Robust Approach to Outliers","display_name":"Detection of Arrhythmia from ECG Signals by a Robust Approach to Outliers","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W1018105537","mag":"1018105537"},"language":"pl","primary_location":{"id":"mag:1018105537","doi":null,"is_oa":false,"landing_page_url":"http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.baztech-bc2f4bbf-2671-4877-8fa8-2a09a649bc37","pdf_url":null,"source":{"id":"https://openalex.org/S197975706","display_name":"PRZEGL\u0104D ELEKTROTECHNICZNY","issn_l":"0033-2097","issn":["0033-2097","2449-9544"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","erih-plus","norway-1","poland-70","russia-white-list-4"],"host_organization":"https://openalex.org/P4310317252","host_organization_name":"Stowarzyszenie Elektryk\u00f3w Polskich","host_organization_lineage":["https://openalex.org/P4310317252"],"host_organization_lineage_names":["Stowarzyszenie Elektryk\u00f3w Polskich"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"PRZEGL\u0104D ELEKTROTECHNICZNY","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5059978625","display_name":"Umut Orhan","orcid":"https://orcid.org/0000-0003-1882-6567","observed_orcids":["https://orcid.org/0000-0003-1882-6567"]},"institutions":[{"id":"https://openalex.org/I55931168","display_name":"Cukurova University","ror":"https://ror.org/05wxkj555","country_code":"TR","type":"education","lineage":["https://openalex.org/I55931168"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Umut Orhan","raw_affiliation_strings":["Cukurova University"],"raw_orcid":"https://orcid.org/0000-0003-1882-6567","affiliations":[{"raw_affiliation_string":"Cukurova University","institution_ids":["https://openalex.org/I55931168"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5059978625"],"corresponding_institution_ids":["https://openalex.org/I55931168"],"apc_list":null,"apc_paid":null,"fwci":0.4363,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67620498,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"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":0.9994999766349792,"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":0.9994999766349792,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":9.999999747378752e-05,"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":9.999999747378752e-05,"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/arrhythmia-detection","display_name":"arrhythmia detection","score":0.9929999709129333},{"id":"https://openalex.org/keywords/ecg-signals","display_name":"ECG signals","score":0.8230000138282776},{"id":"https://openalex.org/keywords/fuzzy-c-means-clustering","display_name":"fuzzy c-means clustering","score":0.968999981880188},{"id":"https://openalex.org/keywords/outlier-robustness","display_name":"outlier robustness","score":0.6919999718666077},{"id":"https://openalex.org/keywords/mit-bih-arrhythmia-database","display_name":"MIT-BIH arrhythmia database","score":0.8830000162124634},{"id":"https://openalex.org/keywords/rr-interval","display_name":"RR interval","score":0.8349999785423279},{"id":"https://openalex.org/keywords/ecg-feature-extraction","display_name":"ECG feature extraction","score":0.7379999756813049}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6544960737228394},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6377726793289185},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6191393733024597},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6030756235122681},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5295463800430298},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.371582567691803}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:1018105537","doi":null,"is_oa":false,"landing_page_url":"http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.baztech-bc2f4bbf-2671-4877-8fa8-2a09a649bc37","pdf_url":null,"source":{"id":"https://openalex.org/S197975706","display_name":"PRZEGL\u0104D ELEKTROTECHNICZNY","issn_l":"0033-2097","issn":["0033-2097","2449-9544"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","erih-plus","norway-1","poland-70","russia-white-list-4"],"host_organization":"https://openalex.org/P4310317252","host_organization_name":"Stowarzyszenie Elektryk\u00f3w Polskich","host_organization_lineage":["https://openalex.org/P4310317252"],"host_organization_lineage_names":["Stowarzyszenie Elektryk\u00f3w Polskich"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"PRZEGL\u0104D ELEKTROTECHNICZNY","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5683000087738037,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1961152484","https://openalex.org/W1995450389","https://openalex.org/W2014044160","https://openalex.org/W2015332508","https://openalex.org/W2019885331","https://openalex.org/W2021921970","https://openalex.org/W2023161418","https://openalex.org/W2027215587","https://openalex.org/W2038228012","https://openalex.org/W2040870580","https://openalex.org/W2066105073","https://openalex.org/W2072781183","https://openalex.org/W2082589768","https://openalex.org/W2093139074","https://openalex.org/W2100772625","https://openalex.org/W2130769894","https://openalex.org/W2131439816","https://openalex.org/W2136624115","https://openalex.org/W2145044818","https://openalex.org/W2162800060","https://openalex.org/W2166886638"],"related_works":["https://openalex.org/W2070555990","https://openalex.org/W2133512206","https://openalex.org/W2144786801","https://openalex.org/W2028117997","https://openalex.org/W2010783125","https://openalex.org/W4387143718","https://openalex.org/W2793626519","https://openalex.org/W2509164161","https://openalex.org/W1965418086","https://openalex.org/W2544471091"],"abstract_inverted_index":{"The":[0,45],"study":[1],"focuses":[2],"on":[3],"arrhythmia":[4,102],"detection":[5,103],"from":[6,62],"ECG":[7,29,76,137,168],"signals,":[8],"and":[9,18,34,71,119],"for":[10,49,67,80,123],"this":[11],"aim":[12],"it":[13],"uses":[14],"Fuzzy":[15],"C-means":[16],"(FCM)":[17],"Single":[19],"Neuron":[20],"Perceptron":[21],"(SNP).":[22],"FCM":[23],"clustering":[24],"adapted":[25],"to":[26,93],"time-series":[27],"transforms":[28],"signals":[30],"into":[31],"useful":[32],"features,":[33],"then":[35],"SNP":[36],"classifies":[37],"them.":[38],"We":[39],"use":[40],"MIT-":[41],"BIH":[42],"Arrhythmia":[43],"database.":[44],"database":[46,64],"is":[47,99],"utilized":[48],"two":[50],"experiments":[51],"in":[52,72,111],"the":[53,56,63,69,73,94,96,109,112,117,124],"study.":[54],"In":[55],"first":[57],"experiment,":[58],"RR":[59],"intervals":[60],"trimmed":[61],"are":[65,78,86],"prepared":[66],"training":[68],"model,":[70],"second":[74],"one":[75],"segments":[77],"used":[79],"real":[81],"time":[82],"simulation.":[83],"Obtained":[84],"results":[85,118],"compared":[87],"with":[88],"some":[89,121],"other":[90],"studies.":[91],"According":[92],"results,":[95],"proposed":[97],"approach":[98],"good":[100],"at":[101,107],"as":[104,106],"well":[105],"least":[108],"studies":[110,122],"literature.":[113],"Lastly":[114],"we":[115],"interpret":[116],"present":[120],"future.":[125],"Streszczenie.":[126],"W":[127,152],"artykule":[128,153],"skoncentrowano":[129],"sie":[130],"na":[131,134,165],"detekcji":[132],"arytmii":[133,164],"podstawie":[135,166],"sygnalu":[136,167],"przy":[138,169],"wykorzystaniu":[139,170],"pojedynczego":[140],"perceptronu":[141],"i":[142,160],"algorytmu":[143],"FCM.":[144],"Do":[145],"badan":[146],"wykorzystano":[147],"baze":[148],"danych":[149],"MIT-BIH":[150],"Arrhythmia.":[151],"oceniono":[154],"zastosowan\u0105":[155],"metode,":[156],"przedstawiono":[157],"interpretacje":[158],"wynikow":[159],"dalsze":[161],"propozycje.":[162],"(Detekcja":[163],"sieci":[171],"neuronowych)":[172]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-10-10T17:16:08.811792","created_date":"2016-06-24T00:00:00"}