{"id":"https://openalex.org/W2003899012","doi":"https://doi.org/10.1109/icsmc.2012.6377692","title":"Adaptive Multilayer Generalized Learning Vector Quantization (AMGLVQ) as new algorithm with integrating feature extraction and classification for Arrhythmia heartbeats classification","display_name":"Adaptive Multilayer Generalized Learning Vector Quantization (AMGLVQ) as new algorithm with integrating feature extraction and classification for Arrhythmia heartbeats classification","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W2003899012","doi":"https://doi.org/10.1109/icsmc.2012.6377692","mag":"2003899012"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2012.6377692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2012.6377692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5063974742","display_name":"Elly Matul Imah","orcid":"https://orcid.org/0000-0003-1008-4837"},"institutions":[{"id":"https://openalex.org/I23758234","display_name":"Universitas Negeri Surabaya","ror":"https://ror.org/01jf74q70","country_code":"ID","type":"education","lineage":["https://openalex.org/I23758234"]},{"id":"https://openalex.org/I148158369","display_name":"State University of Semarang","ror":"https://ror.org/02fsk7e17","country_code":"ID","type":"education","lineage":["https://openalex.org/I148158369"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Elly Matul Imah","raw_affiliation_strings":["Mathematics Department, Universitas Negeri Surabaya, Surabaya, Indonesia","Mathematics Department, Universitas Negeri Surabaya, Indonesia"],"affiliations":[{"raw_affiliation_string":"Mathematics Department, Universitas Negeri Surabaya, Surabaya, Indonesia","institution_ids":["https://openalex.org/I23758234"]},{"raw_affiliation_string":"Mathematics Department, Universitas Negeri Surabaya, Indonesia","institution_ids":["https://openalex.org/I148158369","https://openalex.org/I23758234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069933043","display_name":"Wisnu Jatmiko","orcid":"https://orcid.org/0000-0002-0530-7955"},"institutions":[{"id":"https://openalex.org/I29617571","display_name":"University of Indonesia","ror":"https://ror.org/0116zj450","country_code":"ID","type":"education","lineage":["https://openalex.org/I29617571"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Wisnu Jatmiko","raw_affiliation_strings":["Faculty of Computer Science, Universitas Indonesia, Depok, Indonesia","Faculty of Computer Science, Universitas Indonesia - Depok, Indonesia"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, Universitas Indonesia, Depok, Indonesia","institution_ids":["https://openalex.org/I29617571"]},{"raw_affiliation_string":"Faculty of Computer Science, Universitas Indonesia - Depok, Indonesia","institution_ids":["https://openalex.org/I29617571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047887538","display_name":"T. Basaruddin","orcid":null},"institutions":[{"id":"https://openalex.org/I29617571","display_name":"University of Indonesia","ror":"https://ror.org/0116zj450","country_code":"ID","type":"education","lineage":["https://openalex.org/I29617571"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"T. Basaruddin","raw_affiliation_strings":["Faculty of Computer Science, Universitas Indonesia, Depok, Indonesia","Faculty of Computer Science, Universitas Indonesia - Depok, Indonesia"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, Universitas Indonesia, Depok, Indonesia","institution_ids":["https://openalex.org/I29617571"]},{"raw_affiliation_string":"Faculty of Computer Science, Universitas Indonesia - Depok, Indonesia","institution_ids":["https://openalex.org/I29617571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5063974742"],"corresponding_institution_ids":["https://openalex.org/I148158369","https://openalex.org/I23758234"],"apc_list":null,"apc_paid":null,"fwci":0.7453,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.74514257,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"7","issue":null,"first_page":"150","last_page":"155"},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9923999905586243,"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/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9846000075340271,"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/feature-extraction","display_name":"Feature extraction","score":0.7481542825698853},{"id":"https://openalex.org/keywords/heartbeat","display_name":"Heartbeat","score":0.6818472146987915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6689334511756897},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6626399755477905},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6216884851455688},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6195746660232544},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5016145706176758},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.4963997006416321},{"id":"https://openalex.org/keywords/learning-vector-quantization","display_name":"Learning vector quantization","score":0.470229834318161},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.44015035033226013},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.44008806347846985},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4238429665565491},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3214625120162964}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7481542825698853},{"id":"https://openalex.org/C13852961","wikidata":"https://www.wikidata.org/wiki/Q17021880","display_name":"Heartbeat","level":2,"score":0.6818472146987915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6689334511756897},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6626399755477905},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6216884851455688},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6195746660232544},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5016145706176758},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.4963997006416321},{"id":"https://openalex.org/C40567965","wikidata":"https://www.wikidata.org/wiki/Q1820283","display_name":"Learning vector quantization","level":3,"score":0.470229834318161},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.44015035033226013},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.44008806347846985},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4238429665565491},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3214625120162964},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2012.6377692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2012.6377692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1991727042","https://openalex.org/W1996894363","https://openalex.org/W2038141657","https://openalex.org/W2071128523","https://openalex.org/W2075196751","https://openalex.org/W2078738711","https://openalex.org/W2113685602","https://openalex.org/W2123565895","https://openalex.org/W2123749980","https://openalex.org/W2123819164","https://openalex.org/W2130732235","https://openalex.org/W2133876672","https://openalex.org/W2151205988","https://openalex.org/W2162800060","https://openalex.org/W2168337009","https://openalex.org/W2170653955","https://openalex.org/W2171366262","https://openalex.org/W2546640256","https://openalex.org/W3156074825","https://openalex.org/W6677493855","https://openalex.org/W6678524678","https://openalex.org/W6685524898"],"related_works":["https://openalex.org/W2100968651","https://openalex.org/W4243803532","https://openalex.org/W2142248489","https://openalex.org/W2352648934","https://openalex.org/W4230688072","https://openalex.org/W1915693853","https://openalex.org/W1530525041","https://openalex.org/W2378212145","https://openalex.org/W2798892016","https://openalex.org/W2202992072"],"abstract_inverted_index":{"Electrocardiogram":[0],"(ECG)":[1],"plays":[2],"an":[3,40],"important":[4],"role":[5],"in":[6,39,66],"monitoring":[7],"and":[8,31,56,60,110,126,128],"preventing":[9],"heart":[10],"attacks.":[11],"In":[12],"this":[13,44,67],"paper,":[14],"we":[15,69],"propose":[16],"a":[17,61],"new":[18,71],"method":[19,97],"Adaptive":[20],"Multilayer":[21],"Generalized":[22],"Learning":[23],"Vector":[24],"Quantization":[25],"(AMGLVQ)":[26],"that":[27,94],"integrated":[28],"feature":[29,54,124],"extraction":[30,55,125],"classification":[32,36,103,127],"for":[33],"the":[34,75,87,95,100],"automatic":[35],"of":[37,102,117],"heartbeats":[38],"ECG":[41,84],"signal.":[42],"Since":[43],"task":[45],"has":[46],"specific":[47],"characteristics":[48],"such":[49],"as,":[50],"inconsistency":[51,122],"optimization":[52],"on":[53,82,132],"classification,":[57],"unclassifiable":[58],"beats":[59],"strong":[62],"class":[63],"unbalance,":[64],"so":[65],"study":[68],"proposed":[70,96],"algorithm":[72,78],"to":[73,113],"handle":[74,114],"problems.":[76],"The":[77,91],"will":[79],"be":[80],"evaluated":[81],"real":[83],"signals":[85],"from":[86],"MIT":[88],"arrhythmia":[89],"database.":[90],"Experiments":[92],"show":[93],"can":[98],"improve":[99],"accuracy":[101],"better":[104],"than":[105],"SVM":[106],"or":[107],"back-propagation":[108],"NN":[109],"also":[111],"able":[112],"some":[115],"problems":[116],"heartbeat":[118],"classification:":[119],"unbalance":[120],"class,":[121],"between":[123],"detecting":[129],"unknown":[130],"beat":[131],"testing":[133],"phase.":[134]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}