{"id":"https://openalex.org/W4385881861","doi":"https://doi.org/10.1109/icis57766.2023.10210223","title":"Reconstruction of ABP Waveform from the ECG or PPG Signals Using Enhanced 1-D UNetwork","display_name":"Reconstruction of ABP Waveform from the ECG or PPG Signals Using Enhanced 1-D UNetwork","publication_year":2023,"publication_date":"2023-06-23","ids":{"openalex":"https://openalex.org/W4385881861","doi":"https://doi.org/10.1109/icis57766.2023.10210223"},"language":"en","primary_location":{"id":"doi:10.1109/icis57766.2023.10210223","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icis57766.2023.10210223","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/ACIS 23rd International Conference on Computer and Information Science (ICIS)","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/A5081936566","display_name":"Gengjia Zhang","orcid":"https://orcid.org/0000-0001-8479-2903"},"institutions":[{"id":"https://openalex.org/I152238500","display_name":"Chosun University","ror":"https://ror.org/01zt9a375","country_code":"KR","type":"education","lineage":["https://openalex.org/I152238500"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Gengjia Zhang","raw_affiliation_strings":["AI Healthcare Research Center, Chosun University,Department of IT Fusion Technology,Gwangju,Korea,61452"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI Healthcare Research Center, Chosun University,Department of IT Fusion Technology,Gwangju,Korea,61452","institution_ids":["https://openalex.org/I152238500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037818238","display_name":"Daegil Choi","orcid":"https://orcid.org/0009-0003-5856-5282"},"institutions":[{"id":"https://openalex.org/I152238500","display_name":"Chosun University","ror":"https://ror.org/01zt9a375","country_code":"KR","type":"education","lineage":["https://openalex.org/I152238500"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Daegil Choi","raw_affiliation_strings":["AI Healthcare Research Center, Chosun University,Department of IT Fusion Technology,Gwangju,Korea,61452"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI Healthcare Research Center, Chosun University,Department of IT Fusion Technology,Gwangju,Korea,61452","institution_ids":["https://openalex.org/I152238500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027021805","display_name":"Da Eun Kim","orcid":"https://orcid.org/0000-0001-9856-7248"},"institutions":[{"id":"https://openalex.org/I152238500","display_name":"Chosun University","ror":"https://ror.org/01zt9a375","country_code":"KR","type":"education","lineage":["https://openalex.org/I152238500"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Da Eun Kim","raw_affiliation_strings":["AI Healthcare Research Center, Chosun University,Department of IT Fusion Technology,Gwangju,Korea,61452"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI Healthcare Research Center, Chosun University,Department of IT Fusion Technology,Gwangju,Korea,61452","institution_ids":["https://openalex.org/I152238500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103037153","display_name":"Jaehyo Jung","orcid":"https://orcid.org/0000-0003-1852-3267"},"institutions":[{"id":"https://openalex.org/I152238500","display_name":"Chosun University","ror":"https://ror.org/01zt9a375","country_code":"KR","type":"education","lineage":["https://openalex.org/I152238500"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaehyo Jung","raw_affiliation_strings":["AI Healthcare Research Center, Chosun University,Department of IT Fusion Technology,Gwangju,Korea,61452"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI Healthcare Research Center, Chosun University,Department of IT Fusion Technology,Gwangju,Korea,61452","institution_ids":["https://openalex.org/I152238500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I152238500"],"apc_list":null,"apc_paid":null,"fwci":0.0972,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.37716229,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"31","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9990000128746033,"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":0.9987999796867371,"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/waveform","display_name":"Waveform","score":0.9337581992149353},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6890555620193481},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6144306063652039},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5125967860221863},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5009975433349609},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46254369616508484},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.44527512788772583},{"id":"https://openalex.org/keywords/photoplethysmogram","display_name":"Photoplethysmogram","score":0.4399125277996063},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41160643100738525},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.3821392059326172},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.36290329694747925},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.17835941910743713},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.15634071826934814},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.08787485957145691},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08498755097389221}],"concepts":[{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.9337581992149353},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6890555620193481},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6144306063652039},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5125967860221863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5009975433349609},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46254369616508484},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.44527512788772583},{"id":"https://openalex.org/C116390426","wikidata":"https://www.wikidata.org/wiki/Q7187885","display_name":"Photoplethysmogram","level":3,"score":0.4399125277996063},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41160643100738525},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3821392059326172},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36290329694747925},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.17835941910743713},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.15634071826934814},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.08787485957145691},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08498755097389221},{"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icis57766.2023.10210223","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icis57766.2023.10210223","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/ACIS 23rd International Conference on Computer and Information Science (ICIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G3115238839","display_name":null,"funder_award_id":"2022-0-00317","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"}],"funders":[{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1528687555","https://openalex.org/W1981341256","https://openalex.org/W2012880495","https://openalex.org/W2025206702","https://openalex.org/W2067285354","https://openalex.org/W2162800060","https://openalex.org/W2162894545","https://openalex.org/W2341394157","https://openalex.org/W2431637923","https://openalex.org/W2532439670","https://openalex.org/W2592530228","https://openalex.org/W2790723868","https://openalex.org/W3008550610","https://openalex.org/W3096947210","https://openalex.org/W3123642578","https://openalex.org/W3171925877","https://openalex.org/W3213530928","https://openalex.org/W4214928440","https://openalex.org/W4282002715","https://openalex.org/W4287781723","https://openalex.org/W4297176686","https://openalex.org/W4321488900","https://openalex.org/W6631476334","https://openalex.org/W6776640142","https://openalex.org/W6849990506"],"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/W4200107443","https://openalex.org/W4239033438","https://openalex.org/W2905091233","https://openalex.org/W2367940508","https://openalex.org/W2908649630"],"abstract_inverted_index":{"ABP":[0,42,60,69,90,107,113,172,199],"waveforms":[1,108,173,200],"show":[2],"how":[3],"well":[4],"a":[5,20,74,97],"patient's":[6,21],"blood":[7,103,193],"responds":[8],"to":[9,18,39,81,85],"changes":[10],"in":[11,77],"arterial":[12],"flow":[13],"and":[14,30,47,50,106,121,145,162,196],"can":[15,100,190],"be":[16],"used":[17],"analyze":[19],"cardiovascular":[22,31],"health,":[23],"including":[24],"heart":[25],"rate":[26],"analysis,":[27,29],"stress":[28],"disease":[32],"diagnosis.":[33],"However,":[34],"it":[35,119],"is":[36,120],"more":[37],"difficult":[38],"obtain":[40],"the":[41,45,59,68,88,111,116,123,142,146,153,164,182,203],"waveform":[43,61,70,82],"than":[44],"ECG":[46,157],"PPG":[48,160],"signals,":[49],"many":[51],"studies":[52],"are":[53],"being":[54],"conducted":[55],"on":[56],"reconstruction":[57,170],"of":[58,64,67,87,167,171,198],"by":[62,109],"recombination":[63],"bio-signals.":[65],"Reconstruction":[66],"has":[71],"emerged":[72],"as":[73,118,138],"major":[75],"problem":[76],"signal":[78,114],"distortion":[79],"due":[80,84],"destruction":[83],"normalization/normalization":[86],"input":[89],"waveform.":[91],"In":[92,177],"this":[93],"study,":[94],"we":[95,179],"propose":[96],"method":[98],"that":[99,181],"simultaneously":[101,191],"output":[102,197],"pressure":[104,194],"estimation":[105,195],"inputting":[110],"raw":[112,204],"into":[115],"model":[117,144,189],"using":[122],"U-net":[124,143,175,183],"network":[125,184],"coupled":[126],"multi-task":[127,186],"learning":[128,187],"architecture":[129,188],"model.":[130],"Three":[131],"signals":[132,158,161],"(ECG,":[133],"PPG,":[134],"ECG-PPG)":[135],"were":[136,148],"trained":[137],"feature":[139],"vectors":[140],"through":[141],"results":[147,151],"compared.":[149],"The":[150],"demonstrate":[152,180],"potential":[154],"for":[155],"replacing":[156],"with":[159],"overcoming":[163],"current":[165],"constraints":[166],"optimizing":[168],"noninvasive":[169],"via":[174],"networks.":[176],"addition,":[178],"combined":[185],"perform":[192],"without":[201],"damaging":[202],"signal.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}