{"id":"https://openalex.org/W4310873162","doi":"https://doi.org/10.1109/metroxraine54828.2022.9967606","title":"Deep Learning Model for Blood Pressure Estimation from PPG Signal","display_name":"Deep Learning Model for Blood Pressure Estimation from PPG Signal","publication_year":2022,"publication_date":"2022-10-26","ids":{"openalex":"https://openalex.org/W4310873162","doi":"https://doi.org/10.1109/metroxraine54828.2022.9967606"},"language":"en","primary_location":{"id":"doi:10.1109/metroxraine54828.2022.9967606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroxraine54828.2022.9967606","pdf_url":null,"source":{"id":"https://openalex.org/S4363608343","display_name":"2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)","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/A5100666204","display_name":"Minseong Kim","orcid":"https://orcid.org/0009-0001-3167-9904"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Minseong Kim","raw_affiliation_strings":["Electronics and Telecommunications Research Institute,Daegu-Gyeongbuk Research Center,Daegu,Korea","Daegu-Gyeongbuk Research Center, Electronics and Telecommunications Research Institute, Daegu, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute,Daegu-Gyeongbuk Research Center,Daegu,Korea","institution_ids":["https://openalex.org/I142401562"]},{"raw_affiliation_string":"Daegu-Gyeongbuk Research Center, Electronics and Telecommunications Research Institute, Daegu, Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100639854","display_name":"Hyeonjeong Lee","orcid":"https://orcid.org/0000-0003-2028-3557"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyeonjeong Lee","raw_affiliation_strings":["Electronics and Telecommunications Research Institute,Daegu-Gyeongbuk Research Center,Daegu,Korea","Daegu-Gyeongbuk Research Center, Electronics and Telecommunications Research Institute, Daegu, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute,Daegu-Gyeongbuk Research Center,Daegu,Korea","institution_ids":["https://openalex.org/I142401562"]},{"raw_affiliation_string":"Daegu-Gyeongbuk Research Center, Electronics and Telecommunications Research Institute, Daegu, Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108047203","display_name":"Kwang\u2010Yong Kim","orcid":"https://orcid.org/0000-0002-1046-3071"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kwang-Yong Kim","raw_affiliation_strings":["Electronics and Telecommunications Research Institute,Daegu-Gyeongbuk Research Center,Daegu,Korea","Daegu-Gyeongbuk Research Center, Electronics and Telecommunications Research Institute, Daegu, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute,Daegu-Gyeongbuk Research Center,Daegu,Korea","institution_ids":["https://openalex.org/I142401562"]},{"raw_affiliation_string":"Daegu-Gyeongbuk Research Center, Electronics and Telecommunications Research Institute, Daegu, Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040100908","display_name":"Kyu Hyung Kim","orcid":"https://orcid.org/0000-0001-6285-5926"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyu-Hyung Kim","raw_affiliation_strings":["Electronics and Telecommunications Research Institute,Daegu-Gyeongbuk Research Center,Daegu,Korea","Daegu-Gyeongbuk Research Center, Electronics and Telecommunications Research Institute, Daegu, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute,Daegu-Gyeongbuk Research Center,Daegu,Korea","institution_ids":["https://openalex.org/I142401562"]},{"raw_affiliation_string":"Daegu-Gyeongbuk Research Center, Electronics and Telecommunications Research Institute, Daegu, Korea","institution_ids":["https://openalex.org/I142401562"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I142401562"],"apc_list":null,"apc_paid":null,"fwci":0.6388,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63767247,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9991999864578247,"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"}},{"id":"https://openalex.org/T11700","display_name":"Hemodynamic Monitoring and Therapy","score":0.9987000226974487,"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":0.9661096930503845},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.7298105955123901},{"id":"https://openalex.org/keywords/mean-absolute-error","display_name":"Mean absolute error","score":0.6729211807250977},{"id":"https://openalex.org/keywords/blood-pressure","display_name":"Blood pressure","score":0.6672903895378113},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.5689970850944519},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5265727043151855},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5156713724136353},{"id":"https://openalex.org/keywords/absolute-deviation","display_name":"Absolute deviation","score":0.47065773606300354},{"id":"https://openalex.org/keywords/approximation-error","display_name":"Approximation error","score":0.46973666548728943},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.4541766345500946},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4537799656391144},{"id":"https://openalex.org/keywords/pressure-measurement","display_name":"Pressure measurement","score":0.4235597848892212},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36552172899246216},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.2905366122722626},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2870069146156311},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2560838460922241},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.202022522687912},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17235609889030457},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.14456015825271606},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.11271059513092041},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07565167546272278},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0730522871017456}],"concepts":[{"id":"https://openalex.org/C116390426","wikidata":"https://www.wikidata.org/wiki/Q7187885","display_name":"Photoplethysmogram","level":3,"score":0.9661096930503845},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.7298105955123901},{"id":"https://openalex.org/C188154048","wikidata":"https://www.wikidata.org/wiki/Q6803609","display_name":"Mean absolute error","level":3,"score":0.6729211807250977},{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.6672903895378113},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5689970850944519},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5265727043151855},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5156713724136353},{"id":"https://openalex.org/C120934525","wikidata":"https://www.wikidata.org/wiki/Q849149","display_name":"Absolute deviation","level":2,"score":0.47065773606300354},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.46973666548728943},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.4541766345500946},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4537799656391144},{"id":"https://openalex.org/C80264047","wikidata":"https://www.wikidata.org/wiki/Q7424019","display_name":"Pressure measurement","level":2,"score":0.4235597848892212},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36552172899246216},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.2905366122722626},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2870069146156311},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2560838460922241},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.202022522687912},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17235609889030457},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.14456015825271606},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.11271059513092041},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07565167546272278},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0730522871017456},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/metroxraine54828.2022.9967606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroxraine54828.2022.9967606","pdf_url":null,"source":{"id":"https://openalex.org/S4363608343","display_name":"2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.6299999952316284}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322093","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W806982885","https://openalex.org/W1528687555","https://openalex.org/W1594461330","https://openalex.org/W1989626687","https://openalex.org/W1991170684","https://openalex.org/W1995689478","https://openalex.org/W2007246421","https://openalex.org/W2017271435","https://openalex.org/W2136022512","https://openalex.org/W2162800060","https://openalex.org/W2396881363","https://openalex.org/W2431637923","https://openalex.org/W2580438754","https://openalex.org/W2794106486","https://openalex.org/W2884996318","https://openalex.org/W2888894984","https://openalex.org/W2894890204","https://openalex.org/W2965846681","https://openalex.org/W3009321689","https://openalex.org/W6622813587","https://openalex.org/W6774317431"],"related_works":["https://openalex.org/W4310873162","https://openalex.org/W3030478139","https://openalex.org/W2773560649","https://openalex.org/W2535121881","https://openalex.org/W2087911819","https://openalex.org/W2366834915","https://openalex.org/W4297104080","https://openalex.org/W2089466676","https://openalex.org/W4391487086","https://openalex.org/W2136152605"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"we":[3,38,80],"propose":[4,19],"a":[5,20],"deep":[6],"learning-based":[7],"framework":[8],"to":[9,30,69],"estimate":[10],"blood":[11,27,43,77],"pressure":[12,28,44,78],"using":[13,75],"photoplethysmogram":[14],"(PPG)":[15],"signals.":[16],"We":[17],"also":[18],"calibration":[21],"method":[22],"that":[23],"applies":[24],"the":[25,31,40,51,70,82],"initial":[26,76],"information":[29],"estimated":[32],"results.":[33],"To":[34],"evaluate":[35],"our":[36],"approach,":[37],"used":[39],"PPG":[41],"and":[42,60,65,91],"signals":[45],"of":[46,72,85,89,94],"4200":[47],"patients":[48],"sampled":[49],"from":[50],"MIMIC-III":[52],"Waveform":[53],"Database.":[54],"The":[55],"resulting":[56],"mean":[57,86],"absolute":[58,87],"error":[59,88],"standard":[61,92],"deviation":[62,93],"were":[63],"4.876mmHg":[64],"5.257mmHg,":[66],"respectively.":[67],"Compared":[68],"case":[71],"not":[73],"calibrating":[74],"information,":[79],"achieved":[81],"performance":[83],"improvement":[84],"1.899mmHg":[90],"2.933mmHg.":[95]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
