{"id":"https://openalex.org/W4382568031","doi":"https://doi.org/10.1109/jiot.2023.3290557","title":"Personalized Modeling of Blood Pressure With Photoplethysmography: An Error-Feedback Incremental Support Vector Regression Model","display_name":"Personalized Modeling of Blood Pressure With Photoplethysmography: An Error-Feedback Incremental Support Vector Regression Model","publication_year":2023,"publication_date":"2023-06-29","ids":{"openalex":"https://openalex.org/W4382568031","doi":"https://doi.org/10.1109/jiot.2023.3290557"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2023.3290557","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3290557","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5081810060","display_name":"Dingliang Wang","orcid":"https://orcid.org/0000-0001-8616-3684"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dingliang Wang","raw_affiliation_strings":["Department of Electronic Science and Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100748471","display_name":"Xuezhi Yang","orcid":"https://orcid.org/0000-0002-2303-4858"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuezhi Yang","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011120737","display_name":"Jun Wu","orcid":"https://orcid.org/0000-0002-2693-7112"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wu","raw_affiliation_strings":["Department of Electronic Science and Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100636785","display_name":"Wenjin Wang","orcid":"https://orcid.org/0000-0001-7832-5444"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjin Wang","raw_affiliation_strings":["Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5081810060"],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":2.5804,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.89768605,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"11","issue":"1","first_page":"1732","last_page":"1745"},"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":0.9993000030517578,"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":0.9991000294685364,"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":0.9183306694030762},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7567894458770752},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.557831883430481},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5500015616416931},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5069292187690735},{"id":"https://openalex.org/keywords/blood-pressure","display_name":"Blood pressure","score":0.46087557077407837},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4326457381248474},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42188718914985657},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4036293029785156},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.17564713954925537},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12628036737442017},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11692395806312561},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09535375237464905},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.08395549654960632}],"concepts":[{"id":"https://openalex.org/C116390426","wikidata":"https://www.wikidata.org/wiki/Q7187885","display_name":"Photoplethysmogram","level":3,"score":0.9183306694030762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7567894458770752},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.557831883430481},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5500015616416931},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5069292187690735},{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.46087557077407837},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4326457381248474},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42188718914985657},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4036293029785156},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.17564713954925537},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12628036737442017},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11692395806312561},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09535375237464905},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.08395549654960632},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2023.3290557","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3290557","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G478943886","display_name":null,"funder_award_id":"62271003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7563287808","display_name":null,"funder_award_id":"62201008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8465270532","display_name":null,"funder_award_id":"61871411","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1969910995","https://openalex.org/W1984554603","https://openalex.org/W1994303078","https://openalex.org/W2030620696","https://openalex.org/W2052387539","https://openalex.org/W2064455475","https://openalex.org/W2080621654","https://openalex.org/W2084285475","https://openalex.org/W2106921885","https://openalex.org/W2110052313","https://openalex.org/W2135106139","https://openalex.org/W2158054309","https://openalex.org/W2162152641","https://openalex.org/W2166451543","https://openalex.org/W2261982013","https://openalex.org/W2292374408","https://openalex.org/W2548820856","https://openalex.org/W2784502443","https://openalex.org/W2965294732","https://openalex.org/W2965846681","https://openalex.org/W3004658900","https://openalex.org/W3109625451","https://openalex.org/W3109939571","https://openalex.org/W3119280941","https://openalex.org/W3164139332","https://openalex.org/W3198128029","https://openalex.org/W4200481241","https://openalex.org/W6676061531","https://openalex.org/W6676485797","https://openalex.org/W6678524678","https://openalex.org/W6680272842","https://openalex.org/W6684831433","https://openalex.org/W6696373625"],"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/W4239033438","https://openalex.org/W1968279762","https://openalex.org/W4318970012","https://openalex.org/W4205793574","https://openalex.org/W4225612652"],"abstract_inverted_index":{"Most":[0],"of":[1,74,100,128,141,177,179,185],"the":[2,24,34,65,72,78,113,119,125,193],"existing":[3],"photoplethysmography":[4],"(PPG)-based":[5],"blood":[6],"pressure":[7],"(BP)":[8],"estimation":[9,143],"methods":[10],"aim":[11],"at":[12,52,132],"training":[13],"a":[14,101,129,175],"general":[15],"BP":[16,59,76,98,126,142,149,156],"model":[17,92,121,161,194],"applicable":[18],"to":[19,45,95,108],"all":[20],"individuals":[21,30],"which":[22,103,164],"neglected":[23],"vasculature":[25],"and":[26,36,151,170,189],"anatomical":[27],"differences":[28],"among":[29],"as":[31,33,174],"well":[32,70],"slow":[35],"subtle":[37],"cardiovascular":[38],"changes":[39,73],"over":[40],"time,":[41],"thus,":[42],"were":[43,81,144],"hard":[44],"achieve":[46,96],"high":[47,190],"accuracy.":[48],"This":[49],"study":[50],"aims":[51],"addressing":[53],"this":[54],"problem":[55],"by":[56],"constructing":[57],"personalized":[58],"models":[60],"from":[61],"PPG":[62,66],"signals.":[63],"First,":[64],"features":[67],"that":[68,118],"can":[69,104,122,165],"reflect":[71],"individual":[75],"with":[77],"physiological":[79],"state":[80],"extracted.":[82],"Afterwards,":[83],"an":[84],"error":[85,139],"feedback":[86],"incremental":[87],"support":[88],"vector":[89],"regression":[90],"(EFISVR)":[91],"was":[93],"designed":[94],"high-accuracy":[97],"measurement":[99],"subject,":[102],"quickly":[105],"be":[106,166],"adapted":[107],"new":[109],"samples":[110],"without":[111],"retraining":[112],"whole":[114],"model.":[115],"Results":[116],"show":[117],"constructed":[120],"accurately":[123],"predict":[124],"values":[127],"subject":[130],"for":[131,147,154,196],"least":[133],"three":[134],"months.":[135],"The":[136,158,183],"mean":[137],"absolute":[138],"(MAE)":[140],"3.11":[145],"mmHg":[146,153],"systolic":[148],"(SBP)":[150],"2.47":[152],"diastolic":[155],"(DBP).":[157],"proposed":[159],"EFISVR":[160],"is":[162],"lightweight":[163],"integrated":[167],"into":[168],"wearables":[169],"other":[171],"edge":[172],"devices,":[173],"part":[176],"Internet":[178],"Things":[180],"(IoT)":[181],"applications.":[182],"advantages":[184],"lightweight,":[186],"few-shot":[187],"learning":[188],"precision":[191],"make":[192],"suitable":[195],"applications":[197],"in":[198],"real-life":[199],"scenarios.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":1}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}