{"id":"https://openalex.org/W4391409128","doi":"https://doi.org/10.1109/wsc60868.2023.10408359","title":"Deep-Learning-Assisted Cardiac Electrophysiology Simulation","display_name":"Deep-Learning-Assisted Cardiac Electrophysiology Simulation","publication_year":2023,"publication_date":"2023-12-10","ids":{"openalex":"https://openalex.org/W4391409128","doi":"https://doi.org/10.1109/wsc60868.2023.10408359"},"language":"en","primary_location":{"id":"doi:10.1109/wsc60868.2023.10408359","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/wsc60868.2023.10408359","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Winter Simulation Conference (WSC)","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/A5111122051","display_name":"Weixuan Dong","orcid":"https://orcid.org/0009-0009-5980-4592"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weixuan Dong","raw_affiliation_strings":["The University of Oklahoma,School of Industrial and Systems Engineering,Norman,OK,USA,73019"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Oklahoma,School of Industrial and Systems Engineering,Norman,OK,USA,73019","institution_ids":["https://openalex.org/I8692664"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100769850","display_name":"Yifu Li","orcid":"https://orcid.org/0000-0003-0602-8429"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yifu Li","raw_affiliation_strings":["The University of Oklahoma,School of Industrial and Systems Engineering,Norman,OK,USA,73019"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Oklahoma,School of Industrial and Systems Engineering,Norman,OK,USA,73019","institution_ids":["https://openalex.org/I8692664"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100617073","display_name":"Rui Zhu","orcid":"https://orcid.org/0000-0002-9640-0716"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rui Zhu","raw_affiliation_strings":["The University of Oklahoma,School of Industrial and Systems Engineering,Norman,OK,USA,73019"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Oklahoma,School of Industrial and Systems Engineering,Norman,OK,USA,73019","institution_ids":["https://openalex.org/I8692664"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I8692664"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18170304,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"758","last_page":"769"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10217","display_name":"Cardiac electrophysiology and arrhythmias","score":0.9951000213623047,"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/T10821","display_name":"Cardiovascular Function and Risk Factors","score":0.9825000166893005,"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/cardiac-electrophysiology","display_name":"Cardiac electrophysiology","score":0.8099585771560669},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7152612209320068},{"id":"https://openalex.org/keywords/electrophysiology","display_name":"Electrophysiology","score":0.6332430243492126},{"id":"https://openalex.org/keywords/ordinary-differential-equation","display_name":"Ordinary differential equation","score":0.5862230658531189},{"id":"https://openalex.org/keywords/computational-simulation","display_name":"Computational simulation","score":0.5475467443466187},{"id":"https://openalex.org/keywords/partial-differential-equation","display_name":"Partial differential equation","score":0.44722405076026917},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44406795501708984},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4343792796134949},{"id":"https://openalex.org/keywords/differential-equation","display_name":"Differential equation","score":0.3697790503501892},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.2244108021259308},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.16425460577011108},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11101263761520386}],"concepts":[{"id":"https://openalex.org/C61381695","wikidata":"https://www.wikidata.org/wiki/Q3302130","display_name":"Cardiac electrophysiology","level":3,"score":0.8099585771560669},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7152612209320068},{"id":"https://openalex.org/C185263204","wikidata":"https://www.wikidata.org/wiki/Q1154774","display_name":"Electrophysiology","level":2,"score":0.6332430243492126},{"id":"https://openalex.org/C51544822","wikidata":"https://www.wikidata.org/wiki/Q465274","display_name":"Ordinary differential equation","level":3,"score":0.5862230658531189},{"id":"https://openalex.org/C2987190108","wikidata":"https://www.wikidata.org/wiki/Q925667","display_name":"Computational simulation","level":2,"score":0.5475467443466187},{"id":"https://openalex.org/C93779851","wikidata":"https://www.wikidata.org/wiki/Q271977","display_name":"Partial differential equation","level":2,"score":0.44722405076026917},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44406795501708984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4343792796134949},{"id":"https://openalex.org/C78045399","wikidata":"https://www.wikidata.org/wiki/Q11214","display_name":"Differential equation","level":2,"score":0.3697790503501892},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.2244108021259308},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.16425460577011108},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11101263761520386},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc60868.2023.10408359","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/wsc60868.2023.10408359","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Winter Simulation Conference (WSC)","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":31,"referenced_works":["https://openalex.org/W609496224","https://openalex.org/W1485009520","https://openalex.org/W1748741560","https://openalex.org/W1972863166","https://openalex.org/W1976044168","https://openalex.org/W1984347942","https://openalex.org/W2024585678","https://openalex.org/W2086628957","https://openalex.org/W2108501770","https://openalex.org/W2126903321","https://openalex.org/W2152896489","https://openalex.org/W2163071496","https://openalex.org/W2695202536","https://openalex.org/W2809267379","https://openalex.org/W2885469054","https://openalex.org/W2896792008","https://openalex.org/W2899283552","https://openalex.org/W2963755523","https://openalex.org/W2966419255","https://openalex.org/W3041122206","https://openalex.org/W3125591332","https://openalex.org/W3204098833","https://openalex.org/W3211070123","https://openalex.org/W4224903266","https://openalex.org/W4240395309","https://openalex.org/W4292816676","https://openalex.org/W6628877408","https://openalex.org/W6675944832","https://openalex.org/W6752307458","https://openalex.org/W6798301361","https://openalex.org/W6838802264"],"related_works":["https://openalex.org/W2274750791","https://openalex.org/W3044098214","https://openalex.org/W2055549109","https://openalex.org/W1968555577","https://openalex.org/W2748521320","https://openalex.org/W2006154469","https://openalex.org/W203924752","https://openalex.org/W2119568772","https://openalex.org/W2070106059","https://openalex.org/W4235186062"],"abstract_inverted_index":{"Simulation":[0],"built":[1],"upon":[2],"partial":[3],"and":[4,73,102,111],"ordinary":[5],"differential":[6,24,82],"equations":[7,25],"has":[8],"been":[9],"a":[10,28,34,50,96],"classic":[11],"approach":[12,85],"to":[13,56,99,105],"modeling":[14],"cardiac":[15,43,62,116],"electrophysiological":[16,44],"dynamics.":[17],"However,":[18],"mitigating":[19],"the":[20,58,71,76,81,89,106],"computational":[21,66,90],"burden":[22],"of":[23,61,75,108],"is":[26],"still":[27],"challenging":[29],"problem.":[30],"This":[31],"paper":[32],"provides":[33],"novel":[35],"alternative":[36,98],"utilizing":[37],"data-driven":[38],"recurrent":[39],"neural":[40],"networks":[41],"for":[42,114],"dynamic":[45],"simulation.":[46],"Specifically,":[47],"we":[48],"develop":[49],"long":[51],"short-term":[52],"memory":[53],"(LSTM)-assisted":[54],"simulation":[55,84,101],"capture":[57],"underlying":[59],"dynamics":[60],"electrophysiology":[63],"while":[64,86],"preserving":[65],"efficiency.":[67],"Experimental":[68],"results":[69],"demonstrate":[70],"efficiency":[72],"effectiveness":[74],"proposed":[77,93],"method,":[78],"which":[79],"outperforms":[80],"equation-based":[83],"significantly":[87],"reducing":[88],"cost.":[91],"The":[92],"method":[94],"offers":[95],"promising":[97],"traditional":[100],"may":[103],"contribute":[104],"development":[107],"more":[109],"efficient":[110],"accurate":[112],"approaches":[113],"simulating":[115],"electrophysiology.":[117]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}