{"id":"https://openalex.org/W7116841242","doi":"https://doi.org/10.1177/14604582251406449","title":"Exploring the potential of five machine learning regression algorithms for noninvasive blood pressure estimation with photoplethysmography","display_name":"Exploring the potential of five machine learning regression algorithms for noninvasive blood pressure estimation with photoplethysmography","publication_year":2025,"publication_date":"2025-10-01","ids":{"openalex":"https://openalex.org/W7116841242","doi":"https://doi.org/10.1177/14604582251406449","pmid":"https://pubmed.ncbi.nlm.nih.gov/41431191"},"language":"en","primary_location":{"id":"doi:10.1177/14604582251406449","is_oa":true,"landing_page_url":"https://doi.org/10.1177/14604582251406449","pdf_url":null,"source":{"id":"https://openalex.org/S201800618","display_name":"Health Informatics Journal","issn_l":"1460-4582","issn":["1460-4582","1741-2811"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Health Informatics Journal","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1177/14604582251406449","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008079237","display_name":"Hanieh Mohammadi","orcid":"https://orcid.org/0009-0004-1321-4232"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Hanieh Mohammadi","raw_affiliation_strings":["University of Tehran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tehran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085369035","display_name":"Bahram Tarvirdizadeh","orcid":"https://orcid.org/0000-0001-9851-3805"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Bahram Tarvirdizadeh","raw_affiliation_strings":["University of Tehran"],"raw_orcid":"https://orcid.org/0000-0001-9851-3805","affiliations":[{"raw_affiliation_string":"University of Tehran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005143839","display_name":"Khalil Alipour","orcid":"https://orcid.org/0000-0003-4456-1179"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Khalil Alipour","raw_affiliation_strings":["University of Tehran"],"raw_orcid":"https://orcid.org/0000-0003-4456-1179","affiliations":[{"raw_affiliation_string":"University of Tehran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009413425","display_name":"Mohammad Ghamari","orcid":"https://orcid.org/0000-0002-7752-4270"},"institutions":[{"id":"https://openalex.org/I149919469","display_name":"California Polytechnic State University","ror":"https://ror.org/001gpfp45","country_code":"US","type":"education","lineage":["https://openalex.org/I149919469"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mohammad Ghamari","raw_affiliation_strings":["California Polytechnic State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"California Polytechnic State University","institution_ids":["https://openalex.org/I149919469"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5009413425","https://openalex.org/A5085369035"],"corresponding_institution_ids":["https://openalex.org/I149919469","https://openalex.org/I23946033"],"apc_list":{"value":1500,"currency":"USD","value_usd":1500},"apc_paid":{"value":1500,"currency":"USD","value_usd":1500},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.51718857,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"31","issue":"4","first_page":"14604582251406449","last_page":"14604582251406449"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9889000058174133,"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":0.9889000058174133,"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":0.0010000000474974513,"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/T13248","display_name":"Healthcare Technology and Patient Monitoring","score":0.0006000000284984708,"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":0.8622999787330627},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6585000157356262},{"id":"https://openalex.org/keywords/blood-pressure","display_name":"Blood pressure","score":0.5795000195503235},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5385000109672546},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5325000286102295},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.521399974822998},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.5029000043869019},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45669999718666077}],"concepts":[{"id":"https://openalex.org/C116390426","wikidata":"https://www.wikidata.org/wiki/Q7187885","display_name":"Photoplethysmogram","level":3,"score":0.8622999787330627},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6585000157356262},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6261000037193298},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.616100013256073},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.598800003528595},{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.5795000195503235},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5385000109672546},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5325000286102295},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.521399974822998},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.5029000043869019},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45669999718666077},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36039999127388},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.3582000136375427},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35740000009536743},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.34220001101493835},{"id":"https://openalex.org/C175079658","wikidata":"https://www.wikidata.org/wiki/Q7312165","display_name":"Remote patient monitoring","level":2,"score":0.3337000012397766},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.32710000872612},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.32409998774528503},{"id":"https://openalex.org/C2776902269","wikidata":"https://www.wikidata.org/wiki/Q5165493","display_name":"Continuous monitoring","level":2,"score":0.31709998846054077},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.2971999943256378},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2874000072479248},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.2768999934196472},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.26969999074935913},{"id":"https://openalex.org/C57900726","wikidata":"https://www.wikidata.org/wiki/Q492905","display_name":"Diastole","level":3,"score":0.2651999890804291}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":"Q000639","qualifier_name":"trends","is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":"Q000639","qualifier_name":"trends","is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":"Q000639","qualifier_name":"trends","is_major_topic":true},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001794","descriptor_name":"Blood Pressure","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D001794","descriptor_name":"Blood Pressure","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D001794","descriptor_name":"Blood Pressure","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D001795","descriptor_name":"Blood Pressure Determination","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":true},{"descriptor_ui":"D001795","descriptor_name":"Blood Pressure Determination","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":true},{"descriptor_ui":"D001795","descriptor_name":"Blood Pressure Determination","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":true},{"descriptor_ui":"D001795","descriptor_name":"Blood Pressure Determination","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D001795","descriptor_name":"Blood Pressure Determination","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D001795","descriptor_name":"Blood Pressure Determination","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D001795","descriptor_name":"Blood Pressure Determination","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":true},{"descriptor_ui":"D001795","descriptor_name":"Blood Pressure Determination","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":true},{"descriptor_ui":"D001795","descriptor_name":"Blood Pressure Determination","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":true},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017156","descriptor_name":"Photoplethysmography","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":true},{"descriptor_ui":"D017156","descriptor_name":"Photoplethysmography","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":true},{"descriptor_ui":"D017156","descriptor_name":"Photoplethysmography","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":true},{"descriptor_ui":"D017156","descriptor_name":"Photoplethysmography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D017156","descriptor_name":"Photoplethysmography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D017156","descriptor_name":"Photoplethysmography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D017156","descriptor_name":"Photoplethysmography","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":true},{"descriptor_ui":"D017156","descriptor_name":"Photoplethysmography","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":true},{"descriptor_ui":"D017156","descriptor_name":"Photoplethysmography","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1177/14604582251406449","is_oa":true,"landing_page_url":"https://doi.org/10.1177/14604582251406449","pdf_url":null,"source":{"id":"https://openalex.org/S201800618","display_name":"Health Informatics Journal","issn_l":"1460-4582","issn":["1460-4582","1741-2811"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Health Informatics Journal","raw_type":"journal-article"},{"id":"pmid:41431191","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41431191","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Health informatics journal","raw_type":null},{"id":"pmh:oai:doaj.org/article:a3624a52c8654dd88648c864434768bc","is_oa":true,"landing_page_url":"https://doaj.org/article/a3624a52c8654dd88648c864434768bc","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Health Informatics Journal, Vol 31 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1177/14604582251406449","is_oa":true,"landing_page_url":"https://doi.org/10.1177/14604582251406449","pdf_url":null,"source":{"id":"https://openalex.org/S201800618","display_name":"Health Informatics Journal","issn_l":"1460-4582","issn":["1460-4582","1741-2811"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Health Informatics Journal","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1528687555","https://openalex.org/W1594461330","https://openalex.org/W1981918735","https://openalex.org/W1986019364","https://openalex.org/W1988681682","https://openalex.org/W2016023958","https://openalex.org/W2022061078","https://openalex.org/W2056132907","https://openalex.org/W2074536773","https://openalex.org/W2118597903","https://openalex.org/W2131406018","https://openalex.org/W2133629144","https://openalex.org/W2143040253","https://openalex.org/W2145343804","https://openalex.org/W2146978230","https://openalex.org/W2148293218","https://openalex.org/W2149465371","https://openalex.org/W2205716770","https://openalex.org/W2344570320","https://openalex.org/W2475064587","https://openalex.org/W2510378672","https://openalex.org/W2538561053","https://openalex.org/W2626982355","https://openalex.org/W2766359641","https://openalex.org/W2780316996","https://openalex.org/W2782272478","https://openalex.org/W2783413808","https://openalex.org/W2784502443","https://openalex.org/W2794106486","https://openalex.org/W2798127031","https://openalex.org/W2802068140","https://openalex.org/W2888337932","https://openalex.org/W2889351385","https://openalex.org/W2890462626","https://openalex.org/W2890600417","https://openalex.org/W2892649144","https://openalex.org/W2911964244","https://openalex.org/W2952383525","https://openalex.org/W2955961229","https://openalex.org/W2965846681","https://openalex.org/W2967547559","https://openalex.org/W2998223455","https://openalex.org/W3030350170","https://openalex.org/W3160242965","https://openalex.org/W3164532900","https://openalex.org/W4210652228","https://openalex.org/W4214602270","https://openalex.org/W4220971314","https://openalex.org/W4233173939","https://openalex.org/W4250393670","https://openalex.org/W4296099226","https://openalex.org/W4317215138","https://openalex.org/W4320728990","https://openalex.org/W4323021320","https://openalex.org/W4379515587","https://openalex.org/W4382863257","https://openalex.org/W4391955325","https://openalex.org/W4395662246","https://openalex.org/W4402629130","https://openalex.org/W4404628769","https://openalex.org/W4409260265","https://openalex.org/W4411849583"],"related_works":[],"abstract_inverted_index":{"Objective:":[0],"Blood":[1],"pressure":[2,169,174],"(BP)":[3],"is":[4],"a":[5,71,99],"vital":[6],"factor":[7],"for":[8,37,77,213,217,235,245,260],"human":[9],"health":[10,120,252],"and":[11,13,16,32,46,57,74,84,112,117,127,135,158,171,215,250,263,267],"survival,":[12],"its":[14,220],"elevation":[15],"fluctuations":[17],"can":[18],"have":[19,242],"dangerous":[20],"consequences":[21],"on":[22],"an":[23],"individual\u2019s":[24],"well-being.":[25],"Traditional":[26],"BP":[27,78,238,258],"measurement":[28,79],"methods\u2014including":[29],"cuff-based":[30],"devices":[31],"invasive":[33,56],"arterial":[34,49],"catheters\u2014are":[35],"unsuitable":[36],"continuous":[38,52],"monitoring":[39,259],"in":[40,105,197,223],"daily":[41],"life:":[42],"cuffs":[43],"are":[44,55],"intermittent":[45],"uncomfortable,":[47],"whereas":[48],"lines":[50],"provide":[51],"data":[53,123],"but":[54],"confined":[58],"to":[59,66,109,145,165],"clinical":[60],"settings":[61],"(e.g.,":[62],"ICUs/ORs).":[63],"In":[64,90],"response":[65],"this":[67,91],"requirement,":[68],"we":[69,93,138],"propose":[70],"cuff-less,":[72],"continuous,":[73,256],"noninvasive":[75],"system":[76],"using":[80,160],"photoplethysmograph":[81],"(PPG)":[82],"signals":[83,96],"machine":[85],"learning":[86],"(ML)":[87],"algorithms.":[88],"Methods:":[89],"investigation,":[92],"analyzed":[94],"PPG":[95],"acquired":[97],"from":[98,107],"diverse":[100],"cohort,":[101],"with":[102,119,188],"participants":[103],"ranging":[104],"age":[106],"21":[108],"86":[110],"years":[111],"including":[113],"both":[114],"healthy":[115],"subjects":[116],"those":[118],"conditions.":[121],"The":[122,200,229],"underwent":[124],"rigorous":[125],"preprocessing":[126],"feature":[128,142,148,191],"extraction":[129],"procedures.":[130],"To":[131],"address":[132],"computational":[133],"efficiency":[134],"mitigate":[136],"overfitting,":[137],"applied":[139],"five":[140,161],"distinct":[141],"selection":[143,192],"methods":[144],"refine":[146],"the":[147,181,189,224,246,261],"set.":[149],"Subsequently,":[150],"each":[151],"method\u2019s":[152],"selected":[153],"features":[154],"were":[155],"independently":[156],"trained":[157],"tested":[159],"ML":[162],"regression":[163],"algorithms":[164,196],"estimate":[166],"systolic":[167],"blood":[168,173],"(SBP)":[170],"diastolic":[172],"(DBP).":[175],"Results:":[176],"Our":[177],"findings":[178,241],"reveal":[179],"that":[180,254],"ensemble-based":[182],"extra":[183],"trees":[184],"(ET)":[185],"algorithm,":[186],"coupled":[187],"SelectFromModel":[190],"approach,":[193],"surpassed":[194],"competing":[195],"estimative":[198],"performance.":[199],"ET":[201],"algorithm":[202],"achieved":[203],"notably":[204],"low":[205],"root":[206],"mean":[207],"squared":[208],"errors":[209],"(RMSEs)":[210],"of":[211,226,248,265],"5.21":[212],"SBP":[214],"2.65":[216],"DBP,":[218],"demonstrating":[219],"exceptional":[221],"capability":[222],"estimation":[225],"BP.":[227],"Conclusion:":[228],"proposed":[230],"approach":[231],"demonstrates":[232],"strong":[233],"potential":[234],"accurate,":[236],"non-invasive":[237],"estimation.":[239],"These":[240],"important":[243],"implications":[244],"development":[247],"wearable":[249],"mobile":[251],"technologies":[253],"support":[255],"real-time":[257],"prevention":[262],"management":[264],"hypertension":[266],"cardiovascular":[268],"diseases.":[269]},"counts_by_year":[],"updated_date":"2026-05-23T08:51:43.019350","created_date":"2025-12-23T00:00:00"}
