{"id":"https://openalex.org/W3011928614","doi":"https://doi.org/10.1109/access.2020.2981903","title":"Cuffless Blood Pressure Estimation Using Single Channel Photoplethysmography: A Two-Step Method","display_name":"Cuffless Blood Pressure Estimation Using Single Channel Photoplethysmography: A Two-Step Method","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3011928614","doi":"https://doi.org/10.1109/access.2020.2981903","mag":"3011928614"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2981903","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2981903","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09042315.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09042315.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000576706","display_name":"Syed Ghufran Khalid","orcid":"https://orcid.org/0000-0002-0305-5678"},"institutions":[{"id":"https://openalex.org/I4210153682","display_name":"Intelligent Health (United Kingdom)","ror":"https://ror.org/0576zak10","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210153682"]},{"id":"https://openalex.org/I51216347","display_name":"Anglia Ruskin University","ror":"https://ror.org/0009t4v78","country_code":"GB","type":"education","lineage":["https://openalex.org/I51216347"]},{"id":"https://openalex.org/I73417466","display_name":"Coventry University","ror":"https://ror.org/01tgmhj36","country_code":"GB","type":"education","lineage":["https://openalex.org/I73417466"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Syed Ghufran Khalid","raw_affiliation_strings":["Faculty of Health, Education, Medicine and Social Care, Anglia Ruskin University\u2013Chelmsford, Chelmsford, U.K","Research Centre for Intelligent Healthcare, Faculty of Health and Life Sciences, Coventry University, Coventry, U.K"],"raw_orcid":"https://orcid.org/0000-0002-0305-5678","affiliations":[{"raw_affiliation_string":"Faculty of Health, Education, Medicine and Social Care, Anglia Ruskin University\u2013Chelmsford, Chelmsford, U.K","institution_ids":["https://openalex.org/I51216347"]},{"raw_affiliation_string":"Research Centre for Intelligent Healthcare, Faculty of Health and Life Sciences, Coventry University, Coventry, U.K","institution_ids":["https://openalex.org/I4210153682","https://openalex.org/I73417466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100606623","display_name":"Haipeng Liu","orcid":"https://orcid.org/0000-0002-4212-2503"},"institutions":[{"id":"https://openalex.org/I4210153682","display_name":"Intelligent Health (United Kingdom)","ror":"https://ror.org/0576zak10","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210153682"]},{"id":"https://openalex.org/I51216347","display_name":"Anglia Ruskin University","ror":"https://ror.org/0009t4v78","country_code":"GB","type":"education","lineage":["https://openalex.org/I51216347"]},{"id":"https://openalex.org/I73417466","display_name":"Coventry University","ror":"https://ror.org/01tgmhj36","country_code":"GB","type":"education","lineage":["https://openalex.org/I73417466"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Haipeng Liu","raw_affiliation_strings":["Faculty of Health, Education, Medicine and Social Care, Anglia Ruskin University\u2013Chelmsford, Chelmsford, U.K","Research Centre for Intelligent Healthcare, Faculty of Health and Life Sciences, Coventry University, Coventry, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Health, Education, Medicine and Social Care, Anglia Ruskin University\u2013Chelmsford, Chelmsford, U.K","institution_ids":["https://openalex.org/I51216347"]},{"raw_affiliation_string":"Research Centre for Intelligent Healthcare, Faculty of Health and Life Sciences, Coventry University, Coventry, U.K","institution_ids":["https://openalex.org/I4210153682","https://openalex.org/I73417466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001281671","display_name":"Tahir Zia","orcid":null},"institutions":[{"id":"https://openalex.org/I1325846038","display_name":"Royal Marsden NHS Foundation Trust","ror":"https://ror.org/0008wzh48","country_code":"GB","type":"healthcare","lineage":["https://openalex.org/I1325846038"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tahir Zia","raw_affiliation_strings":["The Royal Marsden Hospital, London, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Royal Marsden Hospital, London, U.K","institution_ids":["https://openalex.org/I1325846038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091084430","display_name":"Jufen Zhang","orcid":"https://orcid.org/0000-0003-2704-6212"},"institutions":[{"id":"https://openalex.org/I51216347","display_name":"Anglia Ruskin University","ror":"https://ror.org/0009t4v78","country_code":"GB","type":"education","lineage":["https://openalex.org/I51216347"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jufen Zhang","raw_affiliation_strings":["Faculty of Health, Education, Medicine and Social Care, Anglia Ruskin University\u2013Chelmsford, Chelmsford, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Health, Education, Medicine and Social Care, Anglia Ruskin University\u2013Chelmsford, Chelmsford, U.K","institution_ids":["https://openalex.org/I51216347"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100405410","display_name":"Fei Chen","orcid":"https://orcid.org/0000-0002-6988-492X"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Chen","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-6988-492X","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101570284","display_name":"Dingchang Zheng","orcid":"https://orcid.org/0000-0001-8077-4548"},"institutions":[{"id":"https://openalex.org/I4210153682","display_name":"Intelligent Health (United Kingdom)","ror":"https://ror.org/0576zak10","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210153682"]},{"id":"https://openalex.org/I51216347","display_name":"Anglia Ruskin University","ror":"https://ror.org/0009t4v78","country_code":"GB","type":"education","lineage":["https://openalex.org/I51216347"]},{"id":"https://openalex.org/I73417466","display_name":"Coventry University","ror":"https://ror.org/01tgmhj36","country_code":"GB","type":"education","lineage":["https://openalex.org/I73417466"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dingchang Zheng","raw_affiliation_strings":["Faculty of Health, Education, Medicine and Social Care, Anglia Ruskin University\u2013Chelmsford, Chelmsford, U.K","Research Centre for Intelligent Healthcare, Faculty of Health and Life Sciences, Coventry University, Coventry, U.K"],"raw_orcid":"https://orcid.org/0000-0001-8077-4548","affiliations":[{"raw_affiliation_string":"Faculty of Health, Education, Medicine and Social Care, Anglia Ruskin University\u2013Chelmsford, Chelmsford, U.K","institution_ids":["https://openalex.org/I51216347"]},{"raw_affiliation_string":"Research Centre for Intelligent Healthcare, Faculty of Health and Life Sciences, Coventry University, Coventry, U.K","institution_ids":["https://openalex.org/I4210153682","https://openalex.org/I73417466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.67,"has_fulltext":true,"cited_by_count":62,"citation_normalized_percentile":{"value":0.93714624,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"8","issue":null,"first_page":"58146","last_page":"58154"},"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/T11700","display_name":"Hemodynamic Monitoring and Therapy","score":0.9997000098228455,"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"}},{"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"}}],"keywords":[{"id":"https://openalex.org/keywords/photoplethysmogram","display_name":"Photoplethysmogram","score":0.9531148672103882},{"id":"https://openalex.org/keywords/blood-pressure","display_name":"Blood pressure","score":0.691851019859314},{"id":"https://openalex.org/keywords/diastole","display_name":"Diastole","score":0.5501693487167358},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5443981289863586},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4510754942893982},{"id":"https://openalex.org/keywords/pulse-pressure","display_name":"Pulse pressure","score":0.44674715399742126},{"id":"https://openalex.org/keywords/multicollinearity","display_name":"Multicollinearity","score":0.43549448251724243},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41484469175338745},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4033646583557129},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40247881412506104},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.39830565452575684},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.32921165227890015},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3242218494415283},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.24215558171272278},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18280619382858276},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.1628275215625763},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.10178285837173462}],"concepts":[{"id":"https://openalex.org/C116390426","wikidata":"https://www.wikidata.org/wiki/Q7187885","display_name":"Photoplethysmogram","level":3,"score":0.9531148672103882},{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.691851019859314},{"id":"https://openalex.org/C57900726","wikidata":"https://www.wikidata.org/wiki/Q492905","display_name":"Diastole","level":3,"score":0.5501693487167358},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5443981289863586},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4510754942893982},{"id":"https://openalex.org/C17140001","wikidata":"https://www.wikidata.org/wiki/Q1759415","display_name":"Pulse pressure","level":3,"score":0.44674715399742126},{"id":"https://openalex.org/C189285262","wikidata":"https://www.wikidata.org/wiki/Q1332350","display_name":"Multicollinearity","level":3,"score":0.43549448251724243},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41484469175338745},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4033646583557129},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40247881412506104},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.39830565452575684},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.32921165227890015},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3242218494415283},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.24215558171272278},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18280619382858276},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.1628275215625763},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.10178285837173462},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/access.2020.2981903","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2981903","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09042315.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:openaire/27fba75f-2a57-4a77-ab02-303c9fe17ac6","is_oa":true,"landing_page_url":"https://pureportal.coventry.ac.uk/en/publications/27fba75f-2a57-4a77-ab02-303c9fe17ac6","pdf_url":null,"source":{"id":"https://openalex.org/S4306402411","display_name":"Pure (Coventry University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I73417466","host_organization_name":"Coventry University","host_organization_lineage":["https://openalex.org/I73417466"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Khalid, S G, Liu, H, Zia, T, Zhang, J, Chen, F & Zheng, D 2020, 'Cuffless Blood Pressure Estimation Using Single Channel Photoplethysmography: A Two-Step Method', IEEE Access, vol. 8, pp. 58146-58154. https://doi.org/10.1109/ACCESS.2020.2981903","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:arro.anglia.ac.uk:705377","is_oa":false,"landing_page_url":"https://arro.anglia.ac.uk/id/eprint/705377/6/Khalid_et_al_2020.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306402145","display_name":"Anglia Ruskin Research Online (Anglia Ruskin University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I51216347","host_organization_name":"Anglia Ruskin University","host_organization_lineage":["https://openalex.org/I51216347"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:a30becbf50dc4663b5b00500e1ad5e90","is_oa":true,"landing_page_url":"https://doaj.org/article/a30becbf50dc4663b5b00500e1ad5e90","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":"IEEE Access, Vol 8, Pp 58146-58154 (2020)","raw_type":"article"},{"id":"pmh:oai:figshare.com:article/23764389","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Cuffless_Blood_Pressure_Estimation_Using_Single_Channel_Photoplethysmography_A_Two-Step_Method/23764389","pdf_url":null,"source":{"id":"https://openalex.org/S4306402621","display_name":"INDIGO (University of Illinois at Chicago)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39422238","host_organization_name":"University of Illinois Chicago","host_organization_lineage":["https://openalex.org/I39422238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:pure.atira.dk:publications/27fba75f-2a57-4a77-ab02-303c9fe17ac6","is_oa":false,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85083083156&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4306402411","display_name":"Pure (Coventry University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I73417466","host_organization_name":"Coventry University","host_organization_lineage":["https://openalex.org/I73417466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"doi:10.1109/access.2020.2981903","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2981903","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09042315.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G5375917830","display_name":null,"funder_award_id":"61828104","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320311962","display_name":"Anglia Ruskin University","ror":"https://ror.org/0009t4v78"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3011928614.pdf","grobid_xml":"https://content.openalex.org/works/W3011928614.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1594031697","https://openalex.org/W1969600128","https://openalex.org/W1991170684","https://openalex.org/W2029350698","https://openalex.org/W2064455475","https://openalex.org/W2080621654","https://openalex.org/W2084285475","https://openalex.org/W2096993177","https://openalex.org/W2101342650","https://openalex.org/W2104995777","https://openalex.org/W2105704369","https://openalex.org/W2150823344","https://openalex.org/W2162800060","https://openalex.org/W2168568513","https://openalex.org/W2294078353","https://openalex.org/W2321187022","https://openalex.org/W2431637923","https://openalex.org/W2475064587","https://openalex.org/W2505411293","https://openalex.org/W2607808876","https://openalex.org/W2626982355","https://openalex.org/W2738102283","https://openalex.org/W2781086988","https://openalex.org/W2783498497","https://openalex.org/W2787867538","https://openalex.org/W2790723868","https://openalex.org/W2796697326","https://openalex.org/W2894890204","https://openalex.org/W2942806139","https://openalex.org/W2955961229","https://openalex.org/W6675999509"],"related_works":["https://openalex.org/W2314956869","https://openalex.org/W2229495757","https://openalex.org/W210577557","https://openalex.org/W2089437152","https://openalex.org/W2935056047","https://openalex.org/W2732360296","https://openalex.org/W4293757468","https://openalex.org/W2947739641","https://openalex.org/W2137598253","https://openalex.org/W2161763637"],"abstract_inverted_index":{"Traditional":[0],"cuff-based":[1],"blood":[2],"pressure":[3],"(BP)":[4],"monitoring":[5],"procedure":[6],"causes":[7],"inconvenience":[8],"and":[9,27,40,58,70,96,129,164,196,236,256],"discomfort":[10],"to":[11,75,99,141,225,240],"the":[12,179,183,204,241,245],"users.":[13],"To":[14],"overcome":[15],"these":[16],"limitations,":[17],"cuffless":[18,83,261],"BP":[19,43,52,66,84,171,189,198,213,218,230,235,253,262],"estimation":[20,44],"based":[21,37],"on":[22,38],"pulse":[23],"transit":[24],"time":[25],"(PTT)":[26],"single-channel":[28],"photoplethysmography":[29],"(PPG)":[30],"has":[31],"been":[32,151],"proposed.":[33],"However,":[34],"existing":[35],"studies":[36],"PTT":[39],"PPG":[41,113,136],"for":[42,51,81,118,127,169,250,260],"did":[45,222],"not":[46,223],"achieve":[47],"AAMI/ISO":[48,184],"standard":[49,185,209,226,258],"criteria":[50],"measurement":[53],"(mean":[54,190],"difference":[55,61],"within":[56,62],"\u00b15mmHg":[57],"SD":[59],"of":[60,104,131],"\u00b18mmHg)":[63],"under":[64],"each":[65,170],"category":[67,231,254],"(Hypotensive,":[68],"Normotensive":[69,237],"Hypertensive).":[71],"This":[72],"study":[73],"aims":[74],"validate":[76],"an":[77],"innovative":[78],"two-step":[79,165,180,205,246],"method":[80,206],"PPG-based":[82],"estimation.":[85,263],"A":[86],"combined":[87],"database":[88],"was":[89,139],"derived":[90],"from":[91],"two":[92,125],"online":[93],"databases":[94],"(Queensland":[95],"MIMIC":[97],"II)":[98],"cover":[100],"a":[101],"wide":[102],"range":[103],"corresponding":[105,121],"BPs.":[106],"In":[107],"total,":[108],"there":[109],"were":[110,173],"18010":[111],"raw":[112],"signal":[114,137,144],"segments":[115],"(5":[116],"seconds":[117],"each)":[119],"with":[120,160],"BPs,":[122],"separated":[123],"into":[124],"halves":[126],"training":[128],"testing":[130],"algorithms":[132],"(independent":[133],"datasets).":[134],"Each":[135],"segment":[138],"pre-processed":[140],"extract":[142],"16":[143],"features.":[145],"Later,":[146],"three":[147,251],"significant":[148],"features":[149],"have":[150],"selected":[152],"using":[153,175],"multicollinearity":[154],"test.":[155],"The":[156],"traditional":[157,242],"generic":[158,220,243],"(trained":[159],"uncategorized":[161],"BP)":[162],"algorithm":[163,166,181,221,247],"(specifically":[167],"optimized":[168],"category)":[172],"developed":[174],"machine":[176],"learning.":[177],"Generally,":[178],"achieved":[182,208,257],"in":[186,211,228],"estimating":[187],"systolic":[188,217],"\u00b1SD:":[191],"0.07\u00b17.1":[192],"mmHg,":[193,200],"p<;":[194,201],"0.001)":[195],"diastolic":[197,234],"(-0.08\u00b16.0":[199],"0.001).":[202],"Categorically,":[203],"also":[207],"accuracy":[210,227,259],"all":[212],"categories":[214],"except":[215,232],"Hypotensive":[216,233],"whereas":[219],"conform":[224],"any":[229],"categories.":[238],"Compared":[239],"algorithm,":[244],"specifically":[248],"designed":[249],"different":[252],"patients":[255]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
