{"id":"https://openalex.org/W4364302720","doi":"https://doi.org/10.1109/jbhi.2023.3265857","title":"Contactless Blood Pressure Measurement Via Remote Photoplethysmography With Synthetic Data Generation Using Generative Adversarial Networks","display_name":"Contactless Blood Pressure Measurement Via Remote Photoplethysmography With Synthetic Data Generation Using Generative Adversarial Networks","publication_year":2023,"publication_date":"2023-04-10","ids":{"openalex":"https://openalex.org/W4364302720","doi":"https://doi.org/10.1109/jbhi.2023.3265857","pmid":"https://pubmed.ncbi.nlm.nih.gov/37037253"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2023.3265857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3265857","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","pubmed"],"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/A5046374199","display_name":"Bing\u2010Fei Wu","orcid":"https://orcid.org/0000-0002-2019-7002"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Bing-Fei Wu","raw_affiliation_strings":["Institute of Electrical and Control Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Electrical and Control Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078871217","display_name":"Li-Wen Chiu","orcid":"https://orcid.org/0000-0002-8166-9317"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Li-Wen Chiu","raw_affiliation_strings":["Institute of Electrical and Control Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Electrical and Control Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059751301","display_name":"Yi-Chiao Wu","orcid":"https://orcid.org/0000-0001-7754-459X"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yi-Chiao Wu","raw_affiliation_strings":["Institute of Electrical and Control Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Electrical and Control Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112607434","display_name":"Chun-Chih Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chun-Chih Lai","raw_affiliation_strings":["Institute of Electrical and Control Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Electrical and Control Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109425860","display_name":"Hao\u2010Min Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hao-Min Cheng","raw_affiliation_strings":["Ph.D. Program of Interdisciplinary Medicine (PIM), National Yang Ming Chiao Tung University College of Medicine, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Ph.D. Program of Interdisciplinary Medicine (PIM), National Yang Ming Chiao Tung University College of Medicine, Taipei, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004676801","display_name":"Pao\u2010Hsien Chu","orcid":"https://orcid.org/0000-0003-0361-6348"},"institutions":[{"id":"https://openalex.org/I173093425","display_name":"Chang Gung University","ror":"https://ror.org/00d80zx46","country_code":"TW","type":"education","lineage":["https://openalex.org/I173093425"]},{"id":"https://openalex.org/I3020100970","display_name":"Chang Gung Memorial Hospital","ror":"https://ror.org/02verss31","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I3020100970"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Pao-Hsien Chu","raw_affiliation_strings":["Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Taoyuan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I173093425","https://openalex.org/I3020100970"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5046374199"],"corresponding_institution_ids":["https://openalex.org/I148366613"],"apc_list":null,"apc_paid":null,"fwci":1.097,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.74049611,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"28","issue":"2","first_page":"621","last_page":"632"},"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9988999962806702,"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/T11700","display_name":"Hemodynamic Monitoring and Therapy","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/photoplethysmogram","display_name":"Photoplethysmogram","score":0.8993852138519287},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7246197462081909},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7126842737197876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7025983929634094},{"id":"https://openalex.org/keywords/blood-pressure","display_name":"Blood pressure","score":0.5076974630355835},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4898070991039276},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4723666310310364},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.46607705950737},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4220532774925232},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.39559927582740784},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3791085481643677},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.28700241446495056},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.25473088026046753},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12881457805633545}],"concepts":[{"id":"https://openalex.org/C116390426","wikidata":"https://www.wikidata.org/wiki/Q7187885","display_name":"Photoplethysmogram","level":3,"score":0.8993852138519287},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7246197462081909},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7126842737197876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7025983929634094},{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.5076974630355835},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4898070991039276},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4723666310310364},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.46607705950737},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4220532774925232},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.39559927582740784},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3791085481643677},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.28700241446495056},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.25473088026046753},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12881457805633545},{"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/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D001794","descriptor_name":"Blood Pressure","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001794","descriptor_name":"Blood Pressure","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001794","descriptor_name":"Blood Pressure","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001794","descriptor_name":"Blood Pressure","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001794","descriptor_name":"Blood Pressure","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001795","descriptor_name":"Blood Pressure Determination","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D001795","descriptor_name":"Blood Pressure Determination","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D001795","descriptor_name":"Blood Pressure Determination","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D001795","descriptor_name":"Blood Pressure Determination","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D001795","descriptor_name":"Blood Pressure Determination","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D006339","descriptor_name":"Heart Rate","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006339","descriptor_name":"Heart Rate","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006339","descriptor_name":"Heart Rate","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006339","descriptor_name":"Heart Rate","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006339","descriptor_name":"Heart Rate","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007259","descriptor_name":"Infrared Rays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007259","descriptor_name":"Infrared Rays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007259","descriptor_name":"Infrared Rays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007259","descriptor_name":"Infrared Rays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007259","descriptor_name":"Infrared Rays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017156","descriptor_name":"Photoplethysmography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D017156","descriptor_name":"Photoplethysmography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D017156","descriptor_name":"Photoplethysmography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D017156","descriptor_name":"Photoplethysmography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D017156","descriptor_name":"Photoplethysmography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2023.3265857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3265857","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"},{"id":"pmid:37037253","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37037253","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"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":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W58419149","https://openalex.org/W2000647275","https://openalex.org/W2069692225","https://openalex.org/W2140692077","https://openalex.org/W2194775991","https://openalex.org/W2341528187","https://openalex.org/W2520509592","https://openalex.org/W2521064640","https://openalex.org/W2521305414","https://openalex.org/W2560474902","https://openalex.org/W2784502443","https://openalex.org/W2896436581","https://openalex.org/W2947359141","https://openalex.org/W2965294732","https://openalex.org/W2965846681","https://openalex.org/W2994652673","https://openalex.org/W3012013962","https://openalex.org/W3036424169","https://openalex.org/W3043568386","https://openalex.org/W3043832103","https://openalex.org/W3046183008","https://openalex.org/W3096775664","https://openalex.org/W3101998545","https://openalex.org/W3109939571","https://openalex.org/W3120015513","https://openalex.org/W3123921521","https://openalex.org/W3127395466","https://openalex.org/W3160676567","https://openalex.org/W3164570271","https://openalex.org/W3193823764","https://openalex.org/W3196743513","https://openalex.org/W3198128029","https://openalex.org/W3213323081","https://openalex.org/W4205403629","https://openalex.org/W4206261733","https://openalex.org/W4226527645","https://openalex.org/W6680532697","https://openalex.org/W6718140377","https://openalex.org/W6766978945"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W3009056573","https://openalex.org/W4297676672","https://openalex.org/W2922073769","https://openalex.org/W4297152434","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W3099765033"],"abstract_inverted_index":{"Remote":[0],"photoplethysmography":[1,29],"(rPPG)":[2],"has":[3],"been":[4],"used":[5],"to":[6,31,66,88,120,122,232,242,270,277],"measure":[7],"vital":[8],"signs":[9],"such":[10],"as":[11,193],"heart":[12,14],"rate,":[13],"rate":[15],"variability,":[16],"blood":[17,21,237,247],"pressure":[18,238],"(BP),":[19],"and":[20,98,110,187,218,240,275,287],"oxygen.":[22],"Recent":[23],"studies":[24],"adopt":[25],"features":[26,39,192],"developed":[27],"with":[28,135,141,165,175,222,282],"(PPG)":[30],"achieve":[32],"contactless":[33],"BP":[34,90,121,212,220],"measurement":[35,213,221],"via":[36],"rPPG.":[37],"These":[38],"can":[40,156],"be":[41,157],"classified":[42],"into":[43],"two":[44],"groups:":[45],"time":[46,69,190],"or":[47,53],"phase":[48],"differences":[49],"from":[50,57,72,91,138,230,268],"multiple":[51],"signals,":[52],"waveform":[54],"feature":[55],"analysis":[56],"a":[58,64,83,107,206,250],"single":[59,216],"signal.":[60],"Here":[61],"we":[62,105,204],"devise":[63],"solution":[65],"extract":[67],"the":[68,73,92,101,130,148,154,162,171,176,180,189,198,201,228,255,264],"difference":[70,191],"information":[71,118,132,174],"rPPG":[74,252],"signal":[75],"captured":[76],"at":[77],"30":[78],"FPS.":[79],"We":[80,114],"also":[81,115],"propose":[82],"deep":[84],"learning":[85],"model":[86,125,163,194],"architecture":[87],"estimate":[89],"extracted":[93],"features.":[94],"To":[95,150,196],"prevent":[96],"overfitting":[97],"compensate":[99],"for":[100,214,235,245,261,273,280],"lack":[102],"of":[103,200,208,285],"data,":[104],"leverage":[106],"multi-model":[108],"design":[109],"generate":[111],"synthetic":[112],"data.":[113],"use":[116],"subject":[117,131,167,173],"related":[119],"assist":[123],"in":[124],"learning.":[126],"For":[127],"real-world":[128],"usage,":[129],"is":[133,144,266],"replaced":[134],"values":[136],"estimated":[137,166,172],"face":[139],"images,":[140],"performance":[142,199],"that":[143],"still":[145],"better":[146],"than":[147],"state-of-the-art.":[149],"our":[151],"best":[152],"knowledge,":[153],"improvements":[155],"achieved":[158],"because":[159],"of:":[160],"1)":[161],"selection":[164],"information,":[168],"2)":[169],"replacing":[170],"real":[177],"one,":[178],"3)":[179],"InfoGAN":[181],"assistance":[182],"training":[183],"(synthetic":[184],"data":[185],"generation),":[186],"4)":[188],"input.":[195],"evaluate":[197],"proposed":[202],"method,":[203],"conduct":[205],"series":[207],"experiments,":[209],"including":[210],"dynamic":[211],"many":[215],"subjects":[217],"nighttime":[219,262],"infrared":[223],"lighting.":[224],"Our":[225],"approach":[226],"reduces":[227],"MAE":[229,265],"15.49":[231],"8.78":[233],"mmHg":[234,244,272,279],"systolic":[236],"(SBP)":[239],"10.56":[241],"6.16":[243],"diastolic":[246],"pressure(DBP)":[248],"on":[249],"self-constructed":[251],"dataset.":[253],"On":[254],"Taipei":[256],"Veterans":[257],"General":[258],"Hospital(TVGH)":[259],"dataset":[260],"applications,":[263],"reduced":[267],"21.58":[269],"11.12":[271],"SBP":[274],"9.74":[276],"7.59":[278],"DBP,":[281],"improvement":[283],"ratios":[284],"48.47%":[286],"22.07%":[288],"respectively.":[289]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}