{"id":"https://openalex.org/W3208247099","doi":"https://doi.org/10.1109/sisy52375.2021.9582441","title":"Evaluation of Model Performance for Estimating Resting Blood Pressure Using Independent Components of Facial Thermal Images","display_name":"Evaluation of Model Performance for Estimating Resting Blood Pressure Using Independent Components of Facial Thermal Images","publication_year":2021,"publication_date":"2021-09-16","ids":{"openalex":"https://openalex.org/W3208247099","doi":"https://doi.org/10.1109/sisy52375.2021.9582441","mag":"3208247099"},"language":"en","primary_location":{"id":"doi:10.1109/sisy52375.2021.9582441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sisy52375.2021.9582441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 19th International Symposium on Intelligent Systems and Informatics (SISY)","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/A5091547206","display_name":"Yuki Iwashita","orcid":null},"institutions":[{"id":"https://openalex.org/I131231118","display_name":"Aoyama Gakuin University","ror":"https://ror.org/002rw7y37","country_code":"JP","type":"education","lineage":["https://openalex.org/I131231118"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yuki Iwashita","raw_affiliation_strings":["Graduate School of Science and Engineering, Aoyama Gakuin University, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Aoyama Gakuin University, Kanagawa, Japan","institution_ids":["https://openalex.org/I131231118"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009695505","display_name":"Kent Nagumo","orcid":"https://orcid.org/0000-0003-4088-7411"},"institutions":[{"id":"https://openalex.org/I131231118","display_name":"Aoyama Gakuin University","ror":"https://ror.org/002rw7y37","country_code":"JP","type":"education","lineage":["https://openalex.org/I131231118"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kent Nagumo","raw_affiliation_strings":["Graduate School of Science and Engineering, Aoyama Gakuin University, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Aoyama Gakuin University, Kanagawa, Japan","institution_ids":["https://openalex.org/I131231118"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021140567","display_name":"Kosuke Oiwa","orcid":"https://orcid.org/0000-0002-7508-171X"},"institutions":[{"id":"https://openalex.org/I131231118","display_name":"Aoyama Gakuin University","ror":"https://ror.org/002rw7y37","country_code":"JP","type":"education","lineage":["https://openalex.org/I131231118"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kosuke Oiwa","raw_affiliation_strings":["College of Science and Engineering, Aoyama Gakuin University, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"College of Science and Engineering, Aoyama Gakuin University, Kanagawa, Japan","institution_ids":["https://openalex.org/I131231118"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062860462","display_name":"Akio Nozawa","orcid":"https://orcid.org/0000-0001-8461-6432"},"institutions":[{"id":"https://openalex.org/I131231118","display_name":"Aoyama Gakuin University","ror":"https://ror.org/002rw7y37","country_code":"JP","type":"education","lineage":["https://openalex.org/I131231118"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akio Nozawa","raw_affiliation_strings":["College of Science and Engineering, Aoyama Gakuin University, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"College of Science and Engineering, Aoyama Gakuin University, Kanagawa, Japan","institution_ids":["https://openalex.org/I131231118"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5091547206"],"corresponding_institution_ids":["https://openalex.org/I131231118"],"apc_list":null,"apc_paid":null,"fwci":0.1387,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.50791194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"135","last_page":"140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12994","display_name":"Infrared Thermography in Medicine","score":0.9842000007629395,"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"}},"topics":[{"id":"https://openalex.org/T12994","display_name":"Infrared Thermography in Medicine","score":0.9842000007629395,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9613999724388123,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9225000143051147,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/blood-pressure","display_name":"Blood pressure","score":0.5703462958335876},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5188306570053101},{"id":"https://openalex.org/keywords/thermography","display_name":"Thermography","score":0.4877372682094574},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4839213490486145},{"id":"https://openalex.org/keywords/biomedical-engineering","display_name":"Biomedical engineering","score":0.4628761112689972},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4617813229560852},{"id":"https://openalex.org/keywords/root-mean-square","display_name":"Root mean square","score":0.4513770341873169},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.37715616822242737},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.360693097114563},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.31946420669555664},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.21699443459510803},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.1483997404575348},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11539751291275024},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.07974889874458313}],"concepts":[{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.5703462958335876},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5188306570053101},{"id":"https://openalex.org/C2779222261","wikidata":"https://www.wikidata.org/wiki/Q624587","display_name":"Thermography","level":3,"score":0.4877372682094574},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4839213490486145},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.4628761112689972},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4617813229560852},{"id":"https://openalex.org/C71907059","wikidata":"https://www.wikidata.org/wiki/Q223323","display_name":"Root mean square","level":2,"score":0.4513770341873169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37715616822242737},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.360693097114563},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.31946420669555664},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.21699443459510803},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.1483997404575348},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11539751291275024},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.07974889874458313},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sisy52375.2021.9582441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sisy52375.2021.9582441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 19th International Symposium on Intelligent Systems and Informatics (SISY)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1988195734","https://openalex.org/W2007312510","https://openalex.org/W2019502123","https://openalex.org/W2108746992","https://openalex.org/W2137226992","https://openalex.org/W2141224535","https://openalex.org/W2160704933","https://openalex.org/W2955641227","https://openalex.org/W2998478172","https://openalex.org/W3033427056","https://openalex.org/W3095288006","https://openalex.org/W3127050453","https://openalex.org/W3131797398","https://openalex.org/W6680532697"],"related_works":["https://openalex.org/W2575795810","https://openalex.org/W1976866108","https://openalex.org/W2610868774","https://openalex.org/W2092994918","https://openalex.org/W2390006526","https://openalex.org/W3216594821","https://openalex.org/W1915333409","https://openalex.org/W3215700490","https://openalex.org/W2393341384","https://openalex.org/W4363647291"],"abstract_inverted_index":{"A":[0,44],"significant":[1],"number":[2],"of":[3,93,99,116],"patients":[4],"suffer":[5],"from":[6],"hypertension.":[7],"Blood":[8],"pressure":[9,33,49,106,147],"monitoring":[10],"using":[11,35,51,68,107,118],"a":[12,41,122,149],"non-contact":[13,31],"measurement":[14],"technique":[15,26],"is":[16,96,131],"expected":[17],"to":[18,84,112,133,136],"detect":[19],"and":[20,111,159],"control":[21],"this":[22,94],"medical":[23],"condition.":[24],"The":[25,61,91,141],"has":[27,55,64],"been":[28,56,66],"studied":[29],"for":[30,46,71,87,102],"blood":[32,48,105,139,146],"measurements":[34],"facial":[36,52],"thermal":[37,53],"images":[38,54],"obtained":[39],"by":[40],"thermography":[42],"device.":[43],"model":[45,62,142],"resting":[47,104,138,145],"estimation":[50,89],"constructed":[57],"in":[58,127],"previous":[59],"studies.":[60],"performance":[63,115],"not":[65],"evaluated":[67],"unknown":[69,119],"data":[70],"practical":[72],"use.":[73],"Additionally,":[74],"other":[75],"modeling":[76,109],"methods,":[77,82],"such":[78],"as":[79],"non-linear":[80],"regression":[81],"need":[83],"be":[85,134],"investigated":[86],"improving":[88],"accuracy.":[90],"objective":[92],"study":[95],"the":[97,100,114,124,128,137,157],"construction":[98],"models":[101,117],"estimating":[103],"several":[108],"methods":[110],"evaluate":[113],"data.":[120],"As":[121],"result,":[123],"skin":[125],"temperature":[126],"nasal":[129],"region":[130],"suggested":[132],"related":[135],"pressure.":[140],"could":[143],"estimate":[144],"at":[148],"5.73":[150],"mmHg":[151],"root":[152],"mean":[153],"square":[154],"error":[155],"between":[156],"measured":[158],"estimated":[160],"values.":[161]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}