{"id":"https://openalex.org/W4210268666","doi":"https://doi.org/10.1109/jbhi.2022.3147383","title":"Synthetic PPG Signal Generation to Improve Coronary Artery Disease Classification: Study With Physical Model of Cardiovascular System","display_name":"Synthetic PPG Signal Generation to Improve Coronary Artery Disease Classification: Study With Physical Model of Cardiovascular System","publication_year":2022,"publication_date":"2022-02-01","ids":{"openalex":"https://openalex.org/W4210268666","doi":"https://doi.org/10.1109/jbhi.2022.3147383"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2022.3147383","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2022.3147383","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","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/A5057661113","display_name":"Oishee Mazumder","orcid":"https://orcid.org/0000-0002-0140-8484"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Oishee Mazumder","raw_affiliation_strings":["TCS Research, Tata Consultancy Services Ltd., Kolkata, West Bengal, India"],"raw_orcid":"https://orcid.org/0000-0002-0140-8484","affiliations":[{"raw_affiliation_string":"TCS Research, Tata Consultancy Services Ltd., Kolkata, West Bengal, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103033933","display_name":"Rohan Banerjee","orcid":"https://orcid.org/0000-0003-2816-3736"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rohan Banerjee","raw_affiliation_strings":["TCS Research, Tata Consultancy Services Ltd., Kolkata, West Bengal, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCS Research, Tata Consultancy Services Ltd., Kolkata, West Bengal, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030574818","display_name":"Dibyendu Roy","orcid":"https://orcid.org/0000-0002-7237-0065"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dibyendu Roy","raw_affiliation_strings":["TCS Research, Tata Consultancy Services Ltd., Kolkata, West Bengal, India"],"raw_orcid":"https://orcid.org/0000-0002-7237-0065","affiliations":[{"raw_affiliation_string":"TCS Research, Tata Consultancy Services Ltd., Kolkata, West Bengal, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045988985","display_name":"Sakyajit Bhattacharya","orcid":"https://orcid.org/0009-0008-9648-6354"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sakyajit Bhattacharya","raw_affiliation_strings":["TCS Research, Tata Consultancy Services Ltd., Kolkata, West Bengal, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCS Research, Tata Consultancy Services Ltd., Kolkata, West Bengal, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013973948","display_name":"Avik Ghose","orcid":"https://orcid.org/0000-0002-0733-7082"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Avik Ghose","raw_affiliation_strings":["TCS Research, Tata Consultancy Services Ltd., Kolkata, West Bengal, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCS Research, Tata Consultancy Services Ltd., Kolkata, West Bengal, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034140949","display_name":"Aniruddha Sinha","orcid":"https://orcid.org/0000-0002-4679-3806"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aniruddha Sinha","raw_affiliation_strings":["TCS Research, Tata Consultancy Services Ltd., Kolkata, West Bengal, India"],"raw_orcid":"https://orcid.org/0000-0002-4679-3806","affiliations":[{"raw_affiliation_string":"TCS Research, Tata Consultancy Services Ltd., Kolkata, West Bengal, India","institution_ids":["https://openalex.org/I55215948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8605,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.90932506,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"26","issue":"5","first_page":"2136","last_page":"2146"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":1.0,"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"}},{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9994999766349792,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9991999864578247,"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/computer-science","display_name":"Computer science","score":0.658341109752655},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6163727045059204},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6049487590789795},{"id":"https://openalex.org/keywords/photoplethysmogram","display_name":"Photoplethysmogram","score":0.5919724702835083},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5630579590797424},{"id":"https://openalex.org/keywords/coronary-artery-disease","display_name":"Coronary artery disease","score":0.5458120107650757},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5283523201942444},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4843091070652008},{"id":"https://openalex.org/keywords/cad","display_name":"CAD","score":0.48276013135910034},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4453243613243103},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.42776620388031006},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4152417778968811},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.36077338457107544},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34943193197250366},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.22290557622909546},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.19437375664710999},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.10409235954284668}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.658341109752655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6163727045059204},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6049487590789795},{"id":"https://openalex.org/C116390426","wikidata":"https://www.wikidata.org/wiki/Q7187885","display_name":"Photoplethysmogram","level":3,"score":0.5919724702835083},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5630579590797424},{"id":"https://openalex.org/C2778213512","wikidata":"https://www.wikidata.org/wiki/Q844935","display_name":"Coronary artery disease","level":2,"score":0.5458120107650757},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5283523201942444},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4843091070652008},{"id":"https://openalex.org/C194789388","wikidata":"https://www.wikidata.org/wiki/Q17855283","display_name":"CAD","level":2,"score":0.48276013135910034},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4453243613243103},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.42776620388031006},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4152417778968811},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.36077338457107544},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34943193197250366},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.22290557622909546},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.19437375664710999},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.10409235954284668},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jbhi.2022.3147383","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2022.3147383","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320313903","display_name":"Tata Consultancy Services","ror":"https://ror.org/01b9n8m42"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1072488465","https://openalex.org/W1534129512","https://openalex.org/W1959608418","https://openalex.org/W1964421503","https://openalex.org/W1981918735","https://openalex.org/W1990364567","https://openalex.org/W2024574161","https://openalex.org/W2028054185","https://openalex.org/W2049124401","https://openalex.org/W2073521043","https://openalex.org/W2082323325","https://openalex.org/W2104646655","https://openalex.org/W2115234735","https://openalex.org/W2122450058","https://openalex.org/W2130111223","https://openalex.org/W2151247073","https://openalex.org/W2152751026","https://openalex.org/W2165687409","https://openalex.org/W2293760672","https://openalex.org/W2793412197","https://openalex.org/W2892274518","https://openalex.org/W2898458682","https://openalex.org/W2912292287","https://openalex.org/W2948978827","https://openalex.org/W2955961229","https://openalex.org/W2980017183","https://openalex.org/W3015595567","https://openalex.org/W3044853938","https://openalex.org/W3048249223","https://openalex.org/W3049132276","https://openalex.org/W3082293988","https://openalex.org/W3092553736","https://openalex.org/W3103102495","https://openalex.org/W3107668265","https://openalex.org/W3117505285","https://openalex.org/W3134859377","https://openalex.org/W4211087637","https://openalex.org/W4256475235","https://openalex.org/W6640963894","https://openalex.org/W6760143171"],"related_works":["https://openalex.org/W2732360296","https://openalex.org/W1994871954","https://openalex.org/W4297152434","https://openalex.org/W2072858761","https://openalex.org/W1540261775","https://openalex.org/W2898782655","https://openalex.org/W3109499659","https://openalex.org/W4382315317","https://openalex.org/W2966641257","https://openalex.org/W4399530423"],"abstract_inverted_index":{"This":[0,197],"paper":[1],"presents":[2],"a":[3,13,25,43,56,95,180,188,203],"novel":[4],"approach":[5,160],"of":[6,16,27,42,59,139,161,192,210],"generating":[7],"synthetic":[8,28,131],"Photoplethysmogram":[9],"(PPG)":[10],"data":[11,115,132,173,194,212],"using":[12,110,118],"physical":[14,33,163],"model":[15,34,65],"the":[17,63,120,130,135,140,208],"cardiovascular":[18],"system":[19],"to":[20,68,77,93,147,154],"improve":[21],"classifier":[22,141],"performance":[23,136],"with":[24,46,55,129,174,187],"combination":[26],"and":[29,49,116,150,165,177],"real":[30,113,121,193],"data.":[31,123],"The":[32,157],"is":[35,66,91],"an":[36],"in-silico":[37],"cardiac":[38,64,220],"computational":[39],"model,":[40],"consisting":[41],"four-chambered":[44],"heart":[45],"electrophysiology,":[47],"hemodynamic,":[48],"blood":[50],"pressure":[51],"auto-regulation":[52],"functionality.":[53],"Starting":[54],"small":[57,190],"number":[58],"measured":[60],"PPG":[61,74,172],"data,":[62],"used":[67],"synthesize":[69],"healthy":[70],"as":[71,73,202],"well":[72],"time-series":[75],"pertaining":[76],"coronary":[78],"artery":[79],"disease":[80,114,122],"(CAD)":[81],"by":[82,127],"varying":[83],"pathophysiological":[84,175],"parameters.":[85],"A":[86],"Variational":[87],"Autoencoder":[88],"(VAE)":[89],"structure":[90],"proposed":[92,158,198],"derive":[94],"statistical":[96,166],"feature":[97,167],"space":[98,168],"for":[99,133,195,206,214,219],"CAD":[100],"classification.":[101],"Results":[102],"are":[103],"presented":[104],"in":[105],"two":[106],"perspectives":[107],"namely,":[108],"(i)":[109,144],"artificially":[111],"reduced":[112],"(ii)":[117,151],"all":[119],"In":[124],"both":[125],"cases,":[126],"augmenting":[128],"training,":[134],"(sensitivity,":[137],"specificity)":[138],"changes":[142],"from":[143],"(0.65,":[145],"1)":[146],"(1,":[148,152,155],"0.9)":[149],"0.95)":[153],"1).":[156],"hybrid":[159],"combining":[162],"modelling":[164],"selection":[169],"generates":[170],"realistic":[171],"interpretation":[176],"can":[178],"outperform":[179],"baseline":[181],"Generative":[182],"Adversarial":[183],"Network":[184],"(GAN)":[185],"architecture":[186],"relatively":[189],"amount":[191],"training.":[196],"method":[199],"could":[200],"aid":[201],"substitution":[204],"technique":[205],"handling":[207],"problem":[209],"bulk":[211],"required":[213],"training":[215],"machine":[216],"learning":[217],"algorithms":[218],"health-care":[221],"applications.":[222]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2022-02-08T00:00:00"}