{"id":"https://openalex.org/W4402352909","doi":"https://doi.org/10.1109/ijcnn60899.2024.10649923","title":"A Lightweight Convolutional Neural Network for Personalized Blood Pressure Estimation Based on Photoplethysmography","display_name":"A Lightweight Convolutional Neural Network for Personalized Blood Pressure Estimation Based on Photoplethysmography","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402352909","doi":"https://doi.org/10.1109/ijcnn60899.2024.10649923"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10649923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10649923","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100711868","display_name":"Jin Zhao","orcid":"https://orcid.org/0000-0003-1648-4751"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Zhao","raw_affiliation_strings":["CASIA,State Key Laboratory of MAIS,Beijing,China,100190"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CASIA,State Key Laboratory of MAIS,Beijing,China,100190","institution_ids":["https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100665639","display_name":"Qi Zhang","orcid":"https://orcid.org/0000-0003-0709-3273"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Zhang","raw_affiliation_strings":["University of Chinese Acad. of Sci,School of AI,Beijing,China,100049"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Acad. of Sci,School of AI,Beijing,China,100049","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075318692","display_name":"Caijie Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210149962","display_name":"Sanming University","ror":"https://ror.org/044pany34","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210149962"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Caijie Qin","raw_affiliation_strings":["Sanming University,Institute of Info. Eng,Sanming,China,365004"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sanming University,Institute of Info. Eng,Sanming,China,365004","institution_ids":["https://openalex.org/I4210149962"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101464860","display_name":"Tao L\u00fc","orcid":"https://orcid.org/0000-0003-2917-6029"},"institutions":[{"id":"https://openalex.org/I1308199089","display_name":"Harbin University","ror":"https://ror.org/00ey9xa07","country_code":"CN","type":"education","lineage":["https://openalex.org/I1308199089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Lu","raw_affiliation_strings":["Harbin University of Sci. & Tech,School of Automation,Harbin,China,150080"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin University of Sci. & Tech,School of Automation,Harbin,China,150080","institution_ids":["https://openalex.org/I1308199089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109778691","display_name":"Zhaoyi Ning","orcid":null},"institutions":[{"id":"https://openalex.org/I1308199089","display_name":"Harbin University","ror":"https://ror.org/00ey9xa07","country_code":"CN","type":"education","lineage":["https://openalex.org/I1308199089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoyi Ning","raw_affiliation_strings":["Harbin University of Sci. & Tech,School of Automation,Harbin,China,150080"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin University of Sci. & Tech,School of Automation,Harbin,China,150080","institution_ids":["https://openalex.org/I1308199089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102787759","display_name":"Qiang Guan","orcid":"https://orcid.org/0000-0002-3804-8945"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Guan","raw_affiliation_strings":["CASIA,Laboratory of CDICS,Beijing,China,100190"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CASIA,Laboratory of CDICS,Beijing,China,100190","institution_ids":["https://openalex.org/I4210112150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083981339","display_name":"Xibo Ma","orcid":"https://orcid.org/0000-0001-5396-6077"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xibo Ma","raw_affiliation_strings":["Chinese Academy of Sciences,State Key Laboratory of MAIS CASIA, Institute of Automation,Beijing,China,100190"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,State Key Laboratory of MAIS CASIA, Institute of Automation,Beijing,China,100190","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I4210128818","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"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":0.9991000294685364,"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":0.9934999942779541,"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":0.9566025137901306},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7638257741928101},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7341561317443848},{"id":"https://openalex.org/keywords/blood-pressure","display_name":"Blood pressure","score":0.5583577752113342},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4781982898712158},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4535771310329437},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3338308334350586},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.21626922488212585},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1637258529663086},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.11562415957450867},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.05914437770843506}],"concepts":[{"id":"https://openalex.org/C116390426","wikidata":"https://www.wikidata.org/wiki/Q7187885","display_name":"Photoplethysmogram","level":3,"score":0.9566025137901306},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7638257741928101},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7341561317443848},{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.5583577752113342},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4781982898712158},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4535771310329437},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3338308334350586},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.21626922488212585},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1637258529663086},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.11562415957450867},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.05914437770843506}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10649923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10649923","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1819620602","https://openalex.org/W2080621654","https://openalex.org/W2091475694","https://openalex.org/W2156121263","https://openalex.org/W2166451543","https://openalex.org/W2294418644","https://openalex.org/W2296719434","https://openalex.org/W2395579298","https://openalex.org/W2396881363","https://openalex.org/W2752782242","https://openalex.org/W2784502443","https://openalex.org/W2794941189","https://openalex.org/W2883780447","https://openalex.org/W2888894984","https://openalex.org/W2903534333","https://openalex.org/W2904099490","https://openalex.org/W2963125010","https://openalex.org/W2963163009","https://openalex.org/W2963840672","https://openalex.org/W2965846681","https://openalex.org/W3002052414","https://openalex.org/W3015201783","https://openalex.org/W3016504312","https://openalex.org/W3023858750","https://openalex.org/W3034552520","https://openalex.org/W3083295672","https://openalex.org/W3096775664","https://openalex.org/W3107499124","https://openalex.org/W3109625451","https://openalex.org/W3109939571","https://openalex.org/W3113178943","https://openalex.org/W3135184486","https://openalex.org/W3138603577","https://openalex.org/W3154858758","https://openalex.org/W3160515305","https://openalex.org/W3164139332","https://openalex.org/W3164461680","https://openalex.org/W3198128029","https://openalex.org/W3201458446","https://openalex.org/W3213323081","https://openalex.org/W4213097091","https://openalex.org/W4224000787","https://openalex.org/W4229018581","https://openalex.org/W4282965153","https://openalex.org/W4292488270","https://openalex.org/W4298393621","https://openalex.org/W4310873162","https://openalex.org/W4312597221","https://openalex.org/W4323688066","https://openalex.org/W6696085341"],"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/W1968279762","https://openalex.org/W4318970012","https://openalex.org/W2170552210"],"abstract_inverted_index":{"Continuous":[0],"blood":[1],"pressure":[2],"(BP)":[3],"monitoring":[4],"holds":[5],"potential":[6],"in":[7,29,43],"preventing":[8],"and":[9,21,99,108,139,165],"detecting":[10],"cardiovascular":[11],"disease":[12],"(CVD).":[13],"Photoplethysmography":[14],"(PPG)-based":[15],"BP":[16,137,144,173],"measuring":[17],"systems":[18],"with":[19,116],"noninvasive":[20],"continuous":[22,95],"properties":[23],"are":[24,38],"of":[25,57,63,132,152,158,172,179],"enormous":[26],"research":[27],"value":[28],"biomedical":[30],"science.":[31],"However,":[32],"mainstream":[33],"technologies":[34],"such":[35],"as":[36],"Transformer":[37],"not":[39],"viable":[40],"for":[41,90,105,121,135,142,155],"implementation":[42],"compact":[44],"devices":[45],"due":[46],"to":[47],"their":[48],"significant":[49],"processing":[50],"complexity.":[51],"Additionally,":[52],"the":[53,60,64,83,87,122,125,149,153,156,170,177],"unique":[54],"individual":[55],"variability":[56],"biosignals":[58],"limits":[59],"generalization":[61],"performance":[62,147],"model.":[65],"In":[66],"this":[67],"work,":[68],"we":[69],"propose":[70],"a":[71,76],"personalized":[72,126,166],"modeling":[73,167],"approach":[74,168],"employing":[75],"lightweight":[77,163],"convolutional":[78],"neural":[79],"network(CNN)":[80],"that":[81],"streamlines":[82],"structure":[84,164],"while":[85,175],"preserving":[86],"model\u2019s":[88],"ability":[89],"long-term":[91],"predictions.":[92],"We":[93],"leverage":[94],"records":[96],"from":[97,103],"413":[98],"30":[100,118],"subjects":[101],"extracted":[102],"MIMIC-III":[104],"model":[106,127],"pretraining":[107],"personalization.":[109],"The":[110,162],"final":[111],"results":[112],"demonstrate":[113],"that,":[114],"calibrated":[115],"only":[117],"labeled":[119],"windows":[120],"target":[123],"subject,":[124],"achieves":[128],"an":[129],"estimation":[130,174],"error":[131],"-0.218\u00b17.657":[133],"mmHg":[134,141],"systolic":[136],"(SBP)":[138],"-0.261\u00b14.898":[140],"diastolic":[143],"(DBP).":[145],"This":[146],"meets":[148],"standard":[150],"requirements":[151],"Association":[154],"Advancement":[157],"Medical":[159],"Instrumentation":[160],"(AAMI).":[161],"improve":[169],"accuracy":[171],"reducing":[176],"difficulty":[178],"deployment.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}