{"id":"https://openalex.org/W7126084416","doi":"https://doi.org/10.1109/bibm66473.2025.11356894","title":"Beyond Point-Wise Accuracy: Assessing Temporal Fidelity and Calibration Drift in PPG-Based Wearable Blood Pressure Estimation","display_name":"Beyond Point-Wise Accuracy: Assessing Temporal Fidelity and Calibration Drift in PPG-Based Wearable Blood Pressure Estimation","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126084416","doi":"https://doi.org/10.1109/bibm66473.2025.11356894"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5100344706","display_name":"Wenlong Wu","orcid":"https://orcid.org/0000-0003-0467-2931"},"institutions":[{"id":"https://openalex.org/I862669128","display_name":"Xiaomi (China)","ror":"https://ror.org/029f7bn57","country_code":"CN","type":"company","lineage":["https://openalex.org/I862669128"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenlong Wu","raw_affiliation_strings":["Xiaomi Laboratory of Sports and Health, Xiaomi Inc.,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Xiaomi Laboratory of Sports and Health, Xiaomi Inc.,Beijing,China","institution_ids":["https://openalex.org/I862669128"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124184337","display_name":"Chunlong Tu","orcid":null},"institutions":[{"id":"https://openalex.org/I862669128","display_name":"Xiaomi (China)","ror":"https://ror.org/029f7bn57","country_code":"CN","type":"company","lineage":["https://openalex.org/I862669128"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunlong Tu","raw_affiliation_strings":["Xiaomi Laboratory of Sports and Health, Xiaomi Inc.,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Xiaomi Laboratory of Sports and Health, Xiaomi Inc.,Beijing,China","institution_ids":["https://openalex.org/I862669128"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111018575","display_name":"Guosong Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I862669128","display_name":"Xiaomi (China)","ror":"https://ror.org/029f7bn57","country_code":"CN","type":"company","lineage":["https://openalex.org/I862669128"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guosong Gao","raw_affiliation_strings":["Xiaomi Laboratory of Sports and Health, Xiaomi Inc.,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Xiaomi Laboratory of Sports and Health, Xiaomi Inc.,Beijing,China","institution_ids":["https://openalex.org/I862669128"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124291045","display_name":"Xiaochen Lei","orcid":null},"institutions":[{"id":"https://openalex.org/I862669128","display_name":"Xiaomi (China)","ror":"https://ror.org/029f7bn57","country_code":"CN","type":"company","lineage":["https://openalex.org/I862669128"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaochen Lei","raw_affiliation_strings":["Xiaomi Laboratory of Sports and Health, Xiaomi Inc.,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Xiaomi Laboratory of Sports and Health, Xiaomi Inc.,Beijing,China","institution_ids":["https://openalex.org/I862669128"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124206849","display_name":"Xurui Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I862669128","display_name":"Xiaomi (China)","ror":"https://ror.org/029f7bn57","country_code":"CN","type":"company","lineage":["https://openalex.org/I862669128"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xurui Zhang","raw_affiliation_strings":["Xiaomi Laboratory of Sports and Health, Xiaomi Inc.,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Xiaomi Laboratory of Sports and Health, Xiaomi Inc.,Beijing,China","institution_ids":["https://openalex.org/I862669128"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101868862","display_name":"Jun Gao","orcid":"https://orcid.org/0000-0003-3114-8457"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210141942","display_name":"Peking University Third Hospital","ror":"https://ror.org/04wwqze12","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210141942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Gao","raw_affiliation_strings":["Peking University Third Hospital,Department of Cardiology and Institute of Vascular Medicine,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Peking University Third Hospital,Department of Cardiology and Institute of Vascular Medicine,Beijing,China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210141942"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124260499","display_name":"Yi-Da Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210141942","display_name":"Peking University Third Hospital","ror":"https://ror.org/04wwqze12","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210141942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi-Da Tang","raw_affiliation_strings":["Peking University Third Hospital,Department of Cardiology and Institute of Vascular Medicine,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Peking University Third Hospital,Department of Cardiology and Institute of Vascular Medicine,Beijing,China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210141942"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100344706"],"corresponding_institution_ids":["https://openalex.org/I862669128"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.62149557,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4263","last_page":"4268"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9803000092506409,"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":0.9803000092506409,"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/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.009600000455975533,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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":0.001500000013038516,"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/photoplethysmogram","display_name":"Photoplethysmogram","score":0.8758000135421753},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.8464000225067139},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6470000147819519},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.5406000018119812},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.477400004863739},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4187999963760376}],"concepts":[{"id":"https://openalex.org/C116390426","wikidata":"https://www.wikidata.org/wiki/Q7187885","display_name":"Photoplethysmogram","level":3,"score":0.8758000135421753},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.8464000225067139},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6470000147819519},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6134999990463257},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.5406000018119812},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.477400004863739},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4366999864578247},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4187999963760376},{"id":"https://openalex.org/C32277403","wikidata":"https://www.wikidata.org/wiki/Q740445","display_name":"Ridge","level":2,"score":0.3610000014305115},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.3260999917984009},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.3179999887943268},{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.31380000710487366},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.3043000102043152},{"id":"https://openalex.org/C41325743","wikidata":"https://www.wikidata.org/wiki/Q1261040","display_name":"Pressure sensor","level":2,"score":0.2962000072002411},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2793999910354614},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.27639999985694885},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2547000050544739}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2006631264","https://openalex.org/W2007307432","https://openalex.org/W2294418644","https://openalex.org/W2903610377","https://openalex.org/W2965846681","https://openalex.org/W3096735544","https://openalex.org/W3127395466","https://openalex.org/W3133766141","https://openalex.org/W3168702658","https://openalex.org/W3198128029","https://openalex.org/W3200345925","https://openalex.org/W4377142751","https://openalex.org/W4405427257","https://openalex.org/W4409728853","https://openalex.org/W4413938455"],"related_works":[],"abstract_inverted_index":{"Cuffless":[0],"blood":[1],"pressure":[2],"(BP)":[3],"monitoring":[4,76],"using":[5],"photoplethysmography":[6],"(PPG)":[7],"provides":[8],"a":[9,43,49,54,65],"convenient":[10],"and":[11,28,73,92],"scalable":[12],"alternative":[13],"to":[14,100,141],"traditional":[15],"cuff-based":[16],"measurements.":[17],"While":[18],"prior":[19],"studies":[20],"have":[21],"predominantly":[22],"emphasized":[23],"point-wise":[24],"accuracy,":[25],"calibration":[26,57,107,118,139],"stability":[27],"long-term":[29],"trend":[30],"estimation-crucial":[31],"for":[32,129,137],"practical":[33],"wearable":[34],"applications-remain":[35],"less":[36],"explored.":[37],"In":[38],"this":[39,62],"paper,":[40],"we":[41],"present":[42],"cuffless":[44],"BP":[45,75,90,131],"estimation":[46],"approach":[47],"combining":[48],"1D":[50],"EfficientNet":[51],"regressor":[52],"with":[53],"ridge":[55],"regression":[56],"layer":[58],"(RidgeCalib).":[59],"We":[60],"evaluated":[61],"system":[63],"on":[64],"dataset":[66],"of":[67,116,126],"243":[68],"participants":[69],"undergoing":[70],"synchronized":[71],"PPG":[72,128],"reference":[74],"over":[77,111],"24":[78],"hours.":[79],"Our":[80],"results":[81],"indicate":[82],"that":[83,93],"the":[84,101,114,124,135],"proposed":[85],"framework":[86],"effectively":[87],"tracks":[88],"general":[89],"trends":[91],"RidgeCalib":[94],"significantly":[95],"reduces":[96],"prediction":[97],"errors":[98],"compared":[99],"uncalibrated":[102],"baseline.":[103],"Despite":[104],"these":[105],"improvements,":[106],"drift":[108],"still":[109],"occurred":[110],"time,":[112],"highlighting":[113],"limitations":[115],"single-point":[117],"methods.":[119],"Overall,":[120],"our":[121],"findings":[122],"underscore":[123],"potential":[125],"single-site":[127],"continuous":[130],"monitoring,":[132],"while":[133],"emphasizing":[134],"need":[136],"adaptive":[138],"strategies":[140],"further":[142],"enhance":[143],"reliability.":[144]},"counts_by_year":[],"updated_date":"2026-02-01T03:34:12.195049","created_date":"2026-01-30T00:00:00"}