{"id":"https://openalex.org/W3203206570","doi":"https://doi.org/10.1145/3458744.3473345","title":"Automated Arrhythmia Detection using Hilbert-Huang Transform based Convolutional Neural Network","display_name":"Automated Arrhythmia Detection using Hilbert-Huang Transform based Convolutional Neural Network","publication_year":2021,"publication_date":"2021-08-09","ids":{"openalex":"https://openalex.org/W3203206570","doi":"https://doi.org/10.1145/3458744.3473345","mag":"3203206570"},"language":"en","primary_location":{"id":"doi:10.1145/3458744.3473345","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3458744.3473345","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"50th International Conference on Parallel Processing Workshop","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":null,"display_name":"Tzu-Chia Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tzu-Chia Lin","raw_affiliation_strings":["National Central University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Central University, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083177876","display_name":"Jie Zhang","orcid":"https://orcid.org/0000-0002-8683-7615"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jie Zhang","raw_affiliation_strings":["National Central University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Central University, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060250892","display_name":"Min-Te Sun","orcid":"https://orcid.org/0000-0002-8911-3831"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Min-Te Sun","raw_affiliation_strings":["National Central University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Central University, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I22265921"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21116891,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9980999827384949,"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":0.9980999827384949,"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/T10065","display_name":"Atrial Fibrillation Management and Outcomes","score":0.9922000169754028,"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":0.9868999719619751,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7266819477081299},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7177954912185669},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6944623589515686},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6569170951843262},{"id":"https://openalex.org/keywords/hilbert-transform","display_name":"Hilbert transform","score":0.5529534816741943},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5237234234809875},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5135288834571838},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.48693835735321045},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46333467960357666},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4519661068916321},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4478955864906311},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.43829068541526794},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3449455499649048},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.16119113564491272},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.08090046048164368},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.06498360633850098}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7266819477081299},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7177954912185669},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6944623589515686},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6569170951843262},{"id":"https://openalex.org/C28799612","wikidata":"https://www.wikidata.org/wiki/Q685437","display_name":"Hilbert transform","level":3,"score":0.5529534816741943},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5237234234809875},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5135288834571838},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.48693835735321045},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46333467960357666},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4519661068916321},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4478955864906311},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.43829068541526794},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3449455499649048},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.16119113564491272},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.08090046048164368},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06498360633850098},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","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/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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:10.1145/3458744.3473345","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3458744.3473345","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"50th International Conference on Parallel Processing Workshop","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":7,"referenced_works":["https://openalex.org/W2007221293","https://openalex.org/W2121394112","https://openalex.org/W2561675875","https://openalex.org/W2771170013","https://openalex.org/W2785993669","https://openalex.org/W2818439135","https://openalex.org/W2900184860"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W4399188509","https://openalex.org/W4312417841"],"abstract_inverted_index":{"In":[0],"this":[1,81,118],"paper,":[2],"a":[3,88],"novel":[4],"approach":[5],"to":[6,15,40,55,76,95,99,106],"arrhythmia-based":[7],"signal":[8,39,92,102],"classification":[9,53],"is":[10,14,143],"introduced.":[11],"The":[12,31,59,111],"objective":[13],"properly":[16],"identify":[17],"three":[18],"classes":[19],"of":[20,44,72,117,123,129,138],"patients":[21],"exhibiting":[22],"normal":[23],"sinus":[24],"rhythm,":[25],"atrial":[26],"fibrillation,":[27],"and":[28,90,98,134],"other":[29],"rhythm.":[30],"proposed":[32,140],"method":[33,142],"apply":[34],"Hilbert-Huang":[35],"transform":[36],"on":[37,74],"raw":[38],"generate":[41],"noise-free":[42],"reconstruction":[43],"the":[45,115,121,127,136,139],"original":[46],"containing":[47,103],"temporal":[48],"variations":[49],"as":[50],"input":[51],"for":[52,108],"mechanism":[54],"learn":[56],"representative":[57,104],"features.":[58,78],"features":[60,105],"are":[61],"directly":[62],"learned":[63],"by":[64],"Convolutional":[65],"Neural":[66],"Network,":[67],"thus":[68],"replacing":[69],"traditional":[70],"methods":[71],"relying":[73],"experts":[75],"handcraft":[77],"To":[79],"summarize,":[80],"paper":[82],"contains":[83],"two":[84],"major":[85],"processes:":[86],"utilize":[87],"nonlinear":[89],"nonstationary":[91],"processing":[93],"technique":[94],"produce":[96],"input,":[97],"feed":[100],"reconstructed":[101],"CNN":[107],"multi-classification":[109],"task.":[110],"experimental":[112],"results":[113],"indicate":[114],"effectiveness":[116,137],"method,":[119],"removing":[120],"need":[122],"human":[124],"involvement":[125],"in":[126],"process":[128],"feature":[130],"selection.":[131],"Through":[132],"analyses":[133],"stimulations,":[135],"ECG-classification":[141],"evaluated.":[144]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}