{"id":"https://openalex.org/W2074904330","doi":"https://doi.org/10.1155/2008/935907","title":"Cardiac Arrhythmias Classification Method Based on MUSIC, Morphological Descriptors, and Neural Network","display_name":"Cardiac Arrhythmias Classification Method Based on MUSIC, Morphological Descriptors, and Neural Network","publication_year":2009,"publication_date":"2009-01-13","ids":{"openalex":"https://openalex.org/W2074904330","doi":"https://doi.org/10.1155/2008/935907","mag":"2074904330"},"language":"en","primary_location":{"id":"doi:10.1155/2008/935907","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2008/935907","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2008/935907","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2008/935907","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023842961","display_name":"Ahmad Reza Naghsh\u2010Nilchi","orcid":"https://orcid.org/0000-0001-7667-0885"},"institutions":[{"id":"https://openalex.org/I39268498","display_name":"University of Isfahan","ror":"https://ror.org/05h9t7759","country_code":"IR","type":"education","lineage":["https://openalex.org/I39268498"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Ahmad R. Naghsh-Nilchi","raw_affiliation_strings":["Department of Computer Engineering, University of Isfahan, Isfahan, 81746-73441, Iran","Department of Computer engineering, University of Isfahan, Isfahan, Iran#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, University of Isfahan, Isfahan, 81746-73441, Iran","institution_ids":["https://openalex.org/I39268498"]},{"raw_affiliation_string":"Department of Computer engineering, University of Isfahan, Isfahan, Iran#TAB#","institution_ids":["https://openalex.org/I39268498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019400238","display_name":"Abdolrahim Kadkhodamohammadi","orcid":"https://orcid.org/0000-0002-1873-6660"},"institutions":[{"id":"https://openalex.org/I39268498","display_name":"University of Isfahan","ror":"https://ror.org/05h9t7759","country_code":"IR","type":"education","lineage":["https://openalex.org/I39268498"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"A. Rahim Kadkhodamohammadi","raw_affiliation_strings":["Department of Computer Engineering, University of Isfahan, Isfahan, 81746-73441, Iran","Department of Computer engineering, University of Isfahan, Isfahan, Iran#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, University of Isfahan, Isfahan, 81746-73441, Iran","institution_ids":["https://openalex.org/I39268498"]},{"raw_affiliation_string":"Department of Computer engineering, University of Isfahan, Isfahan, Iran#TAB#","institution_ids":["https://openalex.org/I39268498"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023842961"],"corresponding_institution_ids":["https://openalex.org/I39268498"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":1.4863,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.84056781,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"2008","issue":"1","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":0.9998999834060669,"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":0.9980000257492065,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7469602227210999},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6924647092819214},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6669406890869141},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6629313826560974},{"id":"https://openalex.org/keywords/probabilistic-neural-network","display_name":"Probabilistic neural network","score":0.6451478600502014},{"id":"https://openalex.org/keywords/beat","display_name":"Beat (acoustics)","score":0.6271066069602966},{"id":"https://openalex.org/keywords/right-bundle-branch-block","display_name":"Right bundle branch block","score":0.6268579363822937},{"id":"https://openalex.org/keywords/heartbeat","display_name":"Heartbeat","score":0.6133150458335876},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.4931318461894989},{"id":"https://openalex.org/keywords/qrs-complex","display_name":"QRS complex","score":0.4325263500213623},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.34729301929473877},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.2862623929977417},{"id":"https://openalex.org/keywords/electrocardiography","display_name":"Electrocardiography","score":0.2753627896308899}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7469602227210999},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6924647092819214},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6669406890869141},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6629313826560974},{"id":"https://openalex.org/C134342201","wikidata":"https://www.wikidata.org/wiki/Q7246859","display_name":"Probabilistic neural network","level":4,"score":0.6451478600502014},{"id":"https://openalex.org/C189809214","wikidata":"https://www.wikidata.org/wiki/Q829522","display_name":"Beat (acoustics)","level":2,"score":0.6271066069602966},{"id":"https://openalex.org/C2780350126","wikidata":"https://www.wikidata.org/wiki/Q180375","display_name":"Right bundle branch block","level":3,"score":0.6268579363822937},{"id":"https://openalex.org/C13852961","wikidata":"https://www.wikidata.org/wiki/Q17021880","display_name":"Heartbeat","level":2,"score":0.6133150458335876},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.4931318461894989},{"id":"https://openalex.org/C111773187","wikidata":"https://www.wikidata.org/wiki/Q1969239","display_name":"QRS complex","level":2,"score":0.4325263500213623},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34729301929473877},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.2862623929977417},{"id":"https://openalex.org/C2780040984","wikidata":"https://www.wikidata.org/wiki/Q79785","display_name":"Electrocardiography","level":2,"score":0.2753627896308899},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"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/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2008/935907","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2008/935907","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2008/935907","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:cc51f6cacce04bfb9aee46e7fc759212","is_oa":true,"landing_page_url":"https://doaj.org/article/cc51f6cacce04bfb9aee46e7fc759212","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Advances in Signal Processing, Vol 2008 (2009)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2008/935907","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2008/935907","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2008/935907","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6899999976158142,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2074904330.pdf","grobid_xml":"https://content.openalex.org/works/W2074904330.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1602659231","https://openalex.org/W1770825568","https://openalex.org/W1870325686","https://openalex.org/W1974817031","https://openalex.org/W1984635929","https://openalex.org/W1990773456","https://openalex.org/W2015332508","https://openalex.org/W2034365922","https://openalex.org/W2037562430","https://openalex.org/W2040820346","https://openalex.org/W2047187509","https://openalex.org/W2048867449","https://openalex.org/W2050925597","https://openalex.org/W2087935847","https://openalex.org/W2092091037","https://openalex.org/W2124776405","https://openalex.org/W2135346934","https://openalex.org/W2150950687","https://openalex.org/W2169797089","https://openalex.org/W2170653955"],"related_works":["https://openalex.org/W4385543909","https://openalex.org/W3039320222","https://openalex.org/W3199640442","https://openalex.org/W1898280036","https://openalex.org/W2315807364","https://openalex.org/W2382278803","https://openalex.org/W2803040299","https://openalex.org/W2376695684","https://openalex.org/W2036775971","https://openalex.org/W2004768567"],"abstract_inverted_index":{"An":[0],"electrocardiogram":[1],"(ECG)":[2],"beat":[3,24,144,176],"classification":[4,10],"scheme":[5,185],"based":[6],"on":[7],"multiple":[8],"signal":[9,59],"(MUSIC)":[11],"algorithm,":[12],"morphological":[13,98],"descriptors,":[14,99],"and":[15,32,37,55,104,156,192],"neural":[16,128,131,147,154,159,180],"networks":[17],"is":[18,73,119,133],"proposed":[19],"for":[20,121,173],"discriminating":[21],"nine":[22,137,143],"ECG":[23,58,79],"types.":[25,145],"These":[26,93],"are":[27,65,84,162],"normal,":[28,33,38],"fusion":[29,34],"of":[30,35,78,106,109,125,171],"ventricular":[31,48,56],"paced":[36,53],"left":[39],"bundle":[40,44],"branch":[41,45],"block,":[42,46],"right":[43],"premature":[47,51],"concentration,":[49],"atrial":[50],"contraction,":[52],"beat,":[54],"flutter.":[57],"samples":[60,83,94],"from":[61],"MIT-BIH":[62],"arrhythmia":[63],"database":[64],"used":[66,74,120],"to":[67,75,86,135],"evaluate":[68],"the":[69,88,102,110,122,142,175],"scheme.":[70],"MUSIC":[71],"algorithm":[72],"calculate":[76],"pseudospectrum":[77],"signals.":[80],"The":[81,130,164],"low-frequency":[82],"picked":[85],"have":[87,136],"most":[89],"valuable":[90],"heartbeat":[91],"information.":[92],"along":[95],"with":[96,189],"two":[97],"which":[100,140],"deliver":[101],"characteristics":[103],"features":[105],"all":[107],"parts":[108],"heart,":[111],"form":[112],"an":[113],"input":[114],"feature":[115],"vector.":[116],"This":[117],"vector":[118],"initial":[123],"training":[124],"a":[126,157,168],"classifier":[127],"network.":[129,181],"network":[132,148,155,160],"designed":[134],"sample":[138],"outputs":[139],"constitute":[141],"Two":[146],"schemes,":[149],"namely":[150],"multilayered":[151],"perceptron":[152],"(MLP)":[153],"probabilistic":[158],"(PNN),":[161],"employed.":[163],"experimental":[165],"results":[166],"achieved":[167],"promising":[169],"accuracy":[170,191],"99.03%":[172],"classifying":[174],"types":[177],"using":[178],"MLP":[179],"In":[182],"addition,":[183],"our":[184],"recognizes":[186],"NORMAL":[187],"class":[188],"100%":[190],"never":[193],"misclassifies":[194],"any":[195],"other":[196],"classes":[197],"as":[198],"NORMAL.":[199]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-03-17T17:19:04.345684","created_date":"2025-10-10T00:00:00"}
