{"id":"https://openalex.org/W2551342563","doi":"https://doi.org/10.1142/s1469026816500218","title":"A Novel Method for Classification of ECG Arrhythmias Using Deep Belief Networks","display_name":"A Novel Method for Classification of ECG Arrhythmias Using Deep Belief Networks","publication_year":2016,"publication_date":"2016-11-28","ids":{"openalex":"https://openalex.org/W2551342563","doi":"https://doi.org/10.1142/s1469026816500218","mag":"2551342563"},"language":"en","primary_location":{"id":"doi:10.1142/s1469026816500218","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1469026816500218","pdf_url":null,"source":{"id":"https://openalex.org/S206936884","display_name":"International Journal of Computational Intelligence and Applications","issn_l":"1469-0268","issn":["1469-0268","1757-5885"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence and Applications","raw_type":"journal-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/A5102869280","display_name":"Zhiyong Wu","orcid":"https://orcid.org/0000-0001-8533-0524"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]},{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiyong Wu","raw_affiliation_strings":["College of Information Science and Engineering, Ocean University of China, No. 23 Hongkong West Road, Qingdao, Shandong 266073, China","School of Computer Science and Technology, Shandong University of Technology, No. 266 New Village West Road, Zibo, Shandong 255000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ocean University of China, No. 23 Hongkong West Road, Qingdao, Shandong 266073, China","institution_ids":["https://openalex.org/I59028903"]},{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University of Technology, No. 266 New Village West Road, Zibo, Shandong 255000, China","institution_ids":["https://openalex.org/I119203015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101020038","display_name":"Xiangqian Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangqian Ding","raw_affiliation_strings":["College of Information Science and Engineering, Ocean University of China, No. 23 Hongkong West Road, Qingdao, Shandong 266073, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ocean University of China, No. 23 Hongkong West Road, Qingdao, Shandong 266073, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067664289","display_name":"Guangrui Zhang","orcid":"https://orcid.org/0000-0002-6559-9136"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangrui Zhang","raw_affiliation_strings":["College of Information Science and Engineering, Ocean University of China, No. 23 Hongkong West Road, Qingdao, Shandong 266073, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ocean University of China, No. 23 Hongkong West Road, Qingdao, Shandong 266073, China","institution_ids":["https://openalex.org/I59028903"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102869280"],"corresponding_institution_ids":["https://openalex.org/I119203015","https://openalex.org/I59028903"],"apc_list":null,"apc_paid":null,"fwci":4.1245,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.94834331,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"15","issue":"04","first_page":"1650021","last_page":"1650021"},"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":0.9962999820709229,"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":0.9628000259399414,"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/softmax-function","display_name":"Softmax function","score":0.8987103700637817},{"id":"https://openalex.org/keywords/deep-belief-network","display_name":"Deep belief network","score":0.8871167898178101},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8185632228851318},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7559596300125122},{"id":"https://openalex.org/keywords/restricted-boltzmann-machine","display_name":"Restricted Boltzmann machine","score":0.6817100048065186},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6616131663322449},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5246672630310059},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5181492567062378},{"id":"https://openalex.org/keywords/heartbeat","display_name":"Heartbeat","score":0.5113512873649597},{"id":"https://openalex.org/keywords/bernoullis-principle","display_name":"Bernoulli's principle","score":0.47908979654312134},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.4723556935787201},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4424499273300171},{"id":"https://openalex.org/keywords/boltzmann-machine","display_name":"Boltzmann machine","score":0.43121108412742615},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.37143874168395996},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36566171050071716}],"concepts":[{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.8987103700637817},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.8871167898178101},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8185632228851318},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7559596300125122},{"id":"https://openalex.org/C199354608","wikidata":"https://www.wikidata.org/wiki/Q7316287","display_name":"Restricted Boltzmann machine","level":3,"score":0.6817100048065186},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6616131663322449},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5246672630310059},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5181492567062378},{"id":"https://openalex.org/C13852961","wikidata":"https://www.wikidata.org/wiki/Q17021880","display_name":"Heartbeat","level":2,"score":0.5113512873649597},{"id":"https://openalex.org/C152361515","wikidata":"https://www.wikidata.org/wiki/Q181328","display_name":"Bernoulli's principle","level":2,"score":0.47908979654312134},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.4723556935787201},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4424499273300171},{"id":"https://openalex.org/C192576344","wikidata":"https://www.wikidata.org/wiki/Q194706","display_name":"Boltzmann machine","level":3,"score":0.43121108412742615},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.37143874168395996},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36566171050071716},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s1469026816500218","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1469026816500218","pdf_url":null,"source":{"id":"https://openalex.org/S206936884","display_name":"International Journal of Computational Intelligence and Applications","issn_l":"1469-0268","issn":["1469-0268","1757-5885"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335774","display_name":"Key Technologies Research and Development Program","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W44815768","https://openalex.org/W779288015","https://openalex.org/W1458336623","https://openalex.org/W1994670735","https://openalex.org/W2002915671","https://openalex.org/W2020571458","https://openalex.org/W2025980594","https://openalex.org/W2026430219","https://openalex.org/W2029503776","https://openalex.org/W2034365922","https://openalex.org/W2036109700","https://openalex.org/W2042492924","https://openalex.org/W2047187509","https://openalex.org/W2063923412","https://openalex.org/W2076063813","https://openalex.org/W2084146405","https://openalex.org/W2095409369","https://openalex.org/W2100495367","https://openalex.org/W2101166342","https://openalex.org/W2103308415","https://openalex.org/W2116064496","https://openalex.org/W2122540156","https://openalex.org/W2132300419","https://openalex.org/W2136922672","https://openalex.org/W2139727462","https://openalex.org/W2140920882","https://openalex.org/W2160986881","https://openalex.org/W2161983973","https://openalex.org/W2162693370","https://openalex.org/W2163922914","https://openalex.org/W2164082066","https://openalex.org/W2166886638","https://openalex.org/W2177066871","https://openalex.org/W2211945929","https://openalex.org/W2289846183","https://openalex.org/W2291961022","https://openalex.org/W3207342693"],"related_works":["https://openalex.org/W2064630666","https://openalex.org/W3121598771","https://openalex.org/W2287713958","https://openalex.org/W3010338767","https://openalex.org/W2513801676","https://openalex.org/W2737967172","https://openalex.org/W2916681395","https://openalex.org/W2184456254","https://openalex.org/W1257380361","https://openalex.org/W2133034788"],"abstract_inverted_index":{"In":[0,38,100],"this":[1],"paper,":[2],"a":[3,108,119],"novel":[4],"approach":[5,182],"based":[6],"on":[7,123,143,195],"deep":[8],"belief":[9],"networks":[10],"(DBN)":[11],"for":[12,32],"electrocardiograph":[13],"(ECG)":[14],"arrhythmias":[15],"classification":[16,24,197],"is":[17,111,138,158],"proposed.":[18],"The":[19,64,136,177],"construction":[20],"process":[21,110],"of":[22,27,50,66,106,126,175,198],"ECG":[23,33,46,90,199],"model":[25],"consists":[26],"two":[28,48,72,161],"steps:":[29],"features":[30,43],"learning":[31,189],"signals":[34],"and":[35,57,79,163],"supervised":[36],"fine-tuning.":[37],"order":[39,101],"to":[40,61,102,132],"deeply":[41],"extract":[42],"from":[44,87],"continuous":[45],"signals,":[47],"types":[49],"restricted":[51],"Boltzmann":[52],"machine":[53],"(RBM)":[54],"including":[55],"Gaussian\u2013Bernoulli":[56],"Bernoulli\u2013Bernoulli":[58],"are":[59],"stacked":[60],"form":[62],"DBN.":[63],"parameters":[65],"RBM":[67],"can":[68,92],"be":[69,94],"learned":[70],"by":[71,117,141],"training":[73],"algorithms":[74],"such":[75],"as":[76],"contrastive":[77,81],"divergence":[78],"persistent":[80],"divergence.":[82],"A":[83],"suitable":[84],"feature":[85,188],"representation":[86,130],"the":[88,104,124,127,144,150,154,173,196],"raw":[89],"data":[91],"therefore":[93],"extracted":[95],"in":[96],"an":[97],"unsupervised":[98],"way.":[99],"enhance":[103],"performance":[105,185],"DBN,":[107],"fine-tuning":[109],"carried":[112],"out,":[113],"which":[114],"uses":[115],"backpropagation":[116],"adding":[118],"softmax":[120],"regression":[121],"layer":[122,131],"top":[125],"resulting":[128],"hidden":[129],"perform":[133],"multiclass":[134],"classification.":[135],"method":[137],"then":[139],"validated":[140],"experiments":[142],"well-known":[145],"MIT-BIH":[146],"arrhythmia":[147],"database.":[148],"Considering":[149],"real":[151],"clinical":[152],"application,":[153],"inter-patient":[155],"heartbeat":[156],"dataset":[157],"divided":[159],"into":[160,165],"sets":[162],"grouped":[164],"four":[166],"classes":[167],"(N,":[168],"S,":[169],"V,":[170],"F)":[171],"following":[172],"recommendations":[174],"AAMI.":[176],"experiment":[178],"results":[179],"show":[180],"our":[181],"achieves":[183],"better":[184],"with":[186],"less":[187],"time":[190],"than":[191],"traditional":[192],"hand-designed":[193],"methods":[194],"arrhythmias.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}