{"id":"https://openalex.org/W7137289282","doi":"https://doi.org/10.1109/jiot.2026.3674224","title":"Noncontact Blood Pressure Estimation With Multispectral Imaging Photoplethysmogram","display_name":"Noncontact Blood Pressure Estimation With Multispectral Imaging Photoplethysmogram","publication_year":2026,"publication_date":"2026-03-16","ids":{"openalex":"https://openalex.org/W7137289282","doi":"https://doi.org/10.1109/jiot.2026.3674224"},"language":null,"primary_location":{"id":"doi:10.1109/jiot.2026.3674224","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2026.3674224","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/A5100783713","display_name":"Jiayu Liu","orcid":"https://orcid.org/0000-0002-4765-5237"},"institutions":[{"id":"https://openalex.org/I3018263800","display_name":"Huzhou University","ror":"https://ror.org/04mvpxy20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3018263800"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayu Liu","raw_affiliation_strings":["Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou, China"],"raw_orcid":"https://orcid.org/0009-0004-3303-8846","affiliations":[{"raw_affiliation_string":"Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou, China","institution_ids":["https://openalex.org/I3018263800"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kailin Yang","orcid":"https://orcid.org/0009-0005-8417-5610"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kailin Yang","raw_affiliation_strings":["School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0005-8417-5610","affiliations":[{"raw_affiliation_string":"School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129481982","display_name":"Zhan Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhan Shen","raw_affiliation_strings":["School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100754694","display_name":"Wenyan Wang","orcid":"https://orcid.org/0000-0001-8182-7349"},"institutions":[{"id":"https://openalex.org/I4210118397","display_name":"Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital","ror":"https://ror.org/01qh26a66","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210118397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyan Wang","raw_affiliation_strings":["Heart Failure Center, Sichuan Academy of Medical Science, and Sichuan Provincial People&#x2019;s Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Heart Failure Center, Sichuan Academy of Medical Science, and Sichuan Provincial People&#x2019;s Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I4210118397"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123984616","display_name":"Xiaorong Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I3018263800","display_name":"Huzhou University","ror":"https://ror.org/04mvpxy20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3018263800"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaorong Ding","raw_affiliation_strings":["Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3269-2852","affiliations":[{"raw_affiliation_string":"Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou, China","institution_ids":["https://openalex.org/I3018263800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34558654,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"12","first_page":"25843","last_page":"25853"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9578999876976013,"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":0.9578999876976013,"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":0.029100000858306885,"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/T11700","display_name":"Hemodynamic Monitoring and Therapy","score":0.002199999988079071,"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":0.8794999718666077},{"id":"https://openalex.org/keywords/blood-pressure","display_name":"Blood pressure","score":0.5400000214576721},{"id":"https://openalex.org/keywords/ultrasonic-imaging","display_name":"Ultrasonic imaging","score":0.3718999922275543},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.3695000112056732},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.3411000072956085},{"id":"https://openalex.org/keywords/remote-patient-monitoring","display_name":"Remote patient monitoring","score":0.33230000734329224}],"concepts":[{"id":"https://openalex.org/C116390426","wikidata":"https://www.wikidata.org/wiki/Q7187885","display_name":"Photoplethysmogram","level":3,"score":0.8794999718666077},{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.5400000214576721},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4675999879837036},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.39399999380111694},{"id":"https://openalex.org/C2989478337","wikidata":"https://www.wikidata.org/wiki/Q234904","display_name":"Ultrasonic imaging","level":3,"score":0.3718999922275543},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3695000112056732},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.3411000072956085},{"id":"https://openalex.org/C175079658","wikidata":"https://www.wikidata.org/wiki/Q7312165","display_name":"Remote patient monitoring","level":2,"score":0.33230000734329224},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.3034000098705292},{"id":"https://openalex.org/C80264047","wikidata":"https://www.wikidata.org/wiki/Q7424019","display_name":"Pressure measurement","level":2,"score":0.30160000920295715},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28790000081062317},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.28540000319480896},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.27160000801086426},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.27059999108314514}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2026.3674224","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2026.3674224","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/G7200226891","display_name":null,"funder_award_id":"82102178","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":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Imaging":[0],"photoplethysmography":[1],"(iPPG)":[2],"acquired":[3],"via":[4,143],"cameras":[5,25],"(RGB,":[6],"infrared,":[7],"etc.)":[8],"holds":[9],"great":[10],"promise":[11],"for":[12,40,212,296,401],"vital":[13],"sign":[14],"monitoring":[15],"due":[16],"to":[17,314],"its":[18],"non-contact":[19,97,402],"and":[20,36,70,91,93,130,147,164,182,208,281,300,322,340,360,380,398],"low-cost":[21],"advantages.":[22],"Although":[23],"RGB":[24,145,187,214],"are":[26],"ubiquitous":[27],"in":[28,184,210,311],"daily":[29],"life":[30],"(e.g.,":[31],"smartphones,":[32],"laptops,":[33],"surveillance":[34],"cameras)":[35],"have":[37,113],"been":[38],"utilized":[39],"blood":[41],"pressure":[42],"(BP)":[43],"estimation,":[44],"most":[45],"existing":[46],"studies":[47],"fused":[48,382],"multi-spectral":[49,86,389],"iPPG":[50,66,263,271,278,288,378,383],"(Red,":[51,88],"Green,":[52,89],"Blue":[53],"channels)":[54],"into":[55],"a":[56,95,396],"single":[57],"channel,":[58],"neglecting":[59],"the":[60,83,148,175,178,190,194,204,226,236,251,256,259,265,273,276,282,316,325,328,331,348,351,372,376,381],"distinct":[61,218],"cardiovascular":[62,117],"information":[63],"carried":[64],"by":[65],"of":[67,116,125,134,229,247,258,262,267,270,275,284,287,335,342,355,362],"different":[68,72,268,285],"spectral":[69,188,215],"from":[71,250],"anatomical":[73,219],"regions.":[74],"To":[75,234],"address":[76],"this":[77,79,169,312],"gap,":[78],"study":[80,202,313,386],"systematically":[81],"explores":[82],"relationship":[84,205],"between":[85,180,206,221,238,318],"iPPGs":[87,185,211,390],"Blue)":[90],"BP,":[92],"proposes":[94],"high-accuracy":[96],"BP":[98,123,133,155,181,207,403],"estimation":[99,404],"method.":[100,384],"A":[101],"dataset":[102],"was":[103,294],"constructed":[104],"using":[105],"30":[106],"subjects":[107],"aged":[108],"18-35":[109],"years":[110],"old":[111],"which":[112],"no":[114],"history":[115],"diseases,":[118],"with":[119,307,333,405],"mean":[120,131],"resting":[121],"systolic":[122],"(SBP)":[124],"119":[126],"\u00b1":[127,136,337,344,357,364],"12":[128],"mmHg":[129,339,359],"diastolic":[132],"75":[135],"9":[137],"mmHg.":[138,346,366],"Data":[139],"were":[140],"collected":[141],"simultaneously":[142],"an":[144],"camera":[146],"CNAP":[149],"monitor":[150],"500":[151],"HD":[152],"under":[153],"three":[154],"states,":[156],"rest,":[157],"controlled":[158],"deep":[159],"breathing":[160],"at":[161],"0.1":[162],"Hz":[163],"post-stepping":[165],"exercise.":[166],"Based":[167],"on":[168,193,225],"dataset,":[170],"we":[171,243],"conducted":[172],"two":[173,222,252],"studies:":[174],"first":[176],"investigated":[177],"correlation":[179,292],"differences":[183,237],"across":[186,217],"within":[189],"same":[191,260,277],"ROI":[192],"forehead":[195],"measuring":[196],"800\u00d7400":[197],"pixels":[198,232],"(single-ROI).":[199],"The":[200],"second":[201],"examined":[203],"variations":[209],"individual":[213],"bands":[216],"regions,":[220],"adjacent":[223],"regions":[224],"forehead,":[227],"each":[228],"size":[230],"400\u00d7200":[231],"(dual-ROIs).":[233],"quantify":[235],"iPPGs,":[239],"following":[240],"signal":[241],"preprocessing,":[242],"extracted":[244],"four":[245],"types":[246],"differential":[248],"features":[249,298,321],"signals":[253],"being":[254],"compared:":[255],"difference":[257,266,274,283,297,320],"kind":[261],"features,":[264,272],"kinds":[269,286],"fiducial":[279,289],"points,":[280],"points.":[290],"Pearson":[291],"coefficient":[293],"used":[295],"selection,":[299],"gradient":[301],"boosting":[302],"regression":[303],"(GBR)":[304],"is":[305],"employed":[306],"Leave-One-Out":[308],"Cross-Validation":[309],"(LOOCV)":[310],"analyze":[315],"association":[317],"these":[319],"BP.":[323],"For":[324,347],"single-ROI":[326],"model,":[327,350],"GBR":[329,352],"achieved":[330],"accuracy":[332],"SBP":[334,354],"0.01":[336],"7.41":[338],"DBP":[341,361],"0.05":[343],"4.38":[345],"dual-ROI":[349],"yielded":[353],"-0.06":[356],"7.14":[358],"0.02":[363],"4.84":[365],"Comparative":[367],"experiments":[368],"also":[369],"showed":[370],"that":[371,388],"proposed":[373],"method":[374,379],"outperformed":[375],"single-wavelength":[377],"This":[385],"demonstrates":[387],"carry":[391],"unique":[392],"BP-related":[393],"information,":[394],"providing":[395],"novel":[397],"effective":[399],"approach":[400],"improved":[406],"performance.":[407]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-17T00:00:00"}
