{"id":"https://openalex.org/W4399487257","doi":"https://doi.org/10.1109/jbhi.2024.3411693","title":"Robust Feature Selection for BP Estimation in Multiple Populations: Towards Cuffless Ambulatory BP Monitoring","display_name":"Robust Feature Selection for BP Estimation in Multiple Populations: Towards Cuffless Ambulatory BP Monitoring","publication_year":2024,"publication_date":"2024-06-10","ids":{"openalex":"https://openalex.org/W4399487257","doi":"https://doi.org/10.1109/jbhi.2024.3411693","pmid":"https://pubmed.ncbi.nlm.nih.gov/38857137"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2024.3411693","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3411693","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/20.500.11850/677790","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002361928","display_name":"Ana Cisnal","orcid":"https://orcid.org/0000-0002-1556-7179"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]},{"id":"https://openalex.org/I4210164862","display_name":"Artificial Intelligence in Medicine (Canada)","ror":"https://ror.org/05p590m36","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210164862"]}],"countries":["CA","CH"],"is_corresponding":true,"raw_author_name":"Ana Cisnal","raw_affiliation_strings":["Spinal Cord Injury &amp; Artificial Intelligence Lab, ETH Zurich, Z&#x00FC;rich, Switzerland","Spinal Cord Injury &amp; Artificial Intelligence Lab, ETH Zurich, Switzerland"],"raw_orcid":"https://orcid.org/0000-0002-1556-7179","affiliations":[{"raw_affiliation_string":"Spinal Cord Injury &amp; Artificial Intelligence Lab, ETH Zurich, Z&#x00FC;rich, Switzerland","institution_ids":["https://openalex.org/I4210164862"]},{"raw_affiliation_string":"Spinal Cord Injury &amp; Artificial Intelligence Lab, ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076278380","display_name":"Yanke Li","orcid":"https://orcid.org/0009-0009-3176-0188"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]},{"id":"https://openalex.org/I4210164862","display_name":"Artificial Intelligence in Medicine (Canada)","ror":"https://ror.org/05p590m36","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210164862"]}],"countries":["CA","CH"],"is_corresponding":false,"raw_author_name":"Yanke Li","raw_affiliation_strings":["Spinal Cord Injury &amp; Artificial Intelligence Lab, ETH Zurich, Z&#x00FC;rich, Switzerland","Spinal Cord Injury &amp; Artificial Intelligence Lab, ETH Zurich, Switzerland"],"raw_orcid":"https://orcid.org/0009-0009-3176-0188","affiliations":[{"raw_affiliation_string":"Spinal Cord Injury &amp; Artificial Intelligence Lab, ETH Zurich, Z&#x00FC;rich, Switzerland","institution_ids":["https://openalex.org/I4210164862"]},{"raw_affiliation_string":"Spinal Cord Injury &amp; Artificial Intelligence Lab, ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043459354","display_name":"Bertram Fuchs","orcid":"https://orcid.org/0009-0006-5107-428X"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]},{"id":"https://openalex.org/I4210164862","display_name":"Artificial Intelligence in Medicine (Canada)","ror":"https://ror.org/05p590m36","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210164862"]}],"countries":["CA","CH"],"is_corresponding":false,"raw_author_name":"Bertram Fuchs","raw_affiliation_strings":["Spinal Cord Injury &amp; Artificial Intelligence Lab, ETH Zurich, Z&#x00FC;rich, Switzerland","Spinal Cord Injury &amp; Artificial Intelligence Lab, ETH Zurich, Switzerland"],"raw_orcid":"https://orcid.org/0009-0006-5107-428X","affiliations":[{"raw_affiliation_string":"Spinal Cord Injury &amp; Artificial Intelligence Lab, ETH Zurich, Z&#x00FC;rich, Switzerland","institution_ids":["https://openalex.org/I4210164862"]},{"raw_affiliation_string":"Spinal Cord Injury &amp; Artificial Intelligence Lab, ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090641623","display_name":"Mehdi Ejtehadi","orcid":"https://orcid.org/0000-0002-1191-9042"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]},{"id":"https://openalex.org/I4210164862","display_name":"Artificial Intelligence in Medicine (Canada)","ror":"https://ror.org/05p590m36","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210164862"]}],"countries":["CA","CH"],"is_corresponding":false,"raw_author_name":"Mehdi Ejtehadi","raw_affiliation_strings":["Spinal Cord Injury &amp; Artificial Intelligence Lab, ETH Zurich, Z&#x00FC;rich, Switzerland","Spinal Cord Injury &amp; Artificial Intelligence Lab, ETH Zurich, Switzerland"],"raw_orcid":"https://orcid.org/0000-0002-1191-9042","affiliations":[{"raw_affiliation_string":"Spinal Cord Injury &amp; Artificial Intelligence Lab, ETH Zurich, Z&#x00FC;rich, Switzerland","institution_ids":["https://openalex.org/I4210164862"]},{"raw_affiliation_string":"Spinal Cord Injury &amp; Artificial Intelligence Lab, ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053676944","display_name":"Robert Riener","orcid":"https://orcid.org/0000-0002-1726-2950"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Robert Riener","raw_affiliation_strings":["Sensory-Motor Systems Lab, ETH Zurich, Z&#x00FC;rich, Switzerland","Sensory-Motor Systems Lab ETH Zurich, and the Spinal Cord Injury Center, University Hospital Balgrist, Zurich, Switzerland"],"raw_orcid":"https://orcid.org/0000-0002-1726-2950","affiliations":[{"raw_affiliation_string":"Sensory-Motor Systems Lab, ETH Zurich, Z&#x00FC;rich, Switzerland","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"Sensory-Motor Systems Lab ETH Zurich, and the Spinal Cord Injury Center, University Hospital Balgrist, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089837387","display_name":"Diego P\u00e1ez-Granados","orcid":"https://orcid.org/0000-0002-6143-1432"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]},{"id":"https://openalex.org/I4210164862","display_name":"Artificial Intelligence in Medicine (Canada)","ror":"https://ror.org/05p590m36","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210164862"]}],"countries":["CA","CH"],"is_corresponding":false,"raw_author_name":"Diego Paez-Granados","raw_affiliation_strings":["Spinal Cord Injury &amp; Artificial Intelligence Lab, ETH Zurich, Z&#x00FC;rich, Switzerland","Spinal Cord Injury &amp; Artificial Intelligence Lab, ETH Zurich, Switzerland"],"raw_orcid":"https://orcid.org/0000-0002-6143-1432","affiliations":[{"raw_affiliation_string":"Spinal Cord Injury &amp; Artificial Intelligence Lab, ETH Zurich, Z&#x00FC;rich, Switzerland","institution_ids":["https://openalex.org/I4210164862"]},{"raw_affiliation_string":"Spinal Cord Injury &amp; Artificial Intelligence Lab, ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5002361928"],"corresponding_institution_ids":["https://openalex.org/I35440088","https://openalex.org/I4210164862"],"apc_list":null,"apc_paid":null,"fwci":1.7424,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.83373569,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"28","issue":"10","first_page":"5768","last_page":"5779"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.991599977016449,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.991599977016449,"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9571999907493591,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ambulatory","display_name":"Ambulatory","score":0.6483621597290039},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6335506439208984},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5827957391738892},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.552000880241394},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.549938976764679},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4565110504627228},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42734211683273315},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.41852471232414246},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37205904722213745},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.2112272083759308},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14458057284355164}],"concepts":[{"id":"https://openalex.org/C35785553","wikidata":"https://www.wikidata.org/wiki/Q756720","display_name":"Ambulatory","level":2,"score":0.6483621597290039},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6335506439208984},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5827957391738892},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.552000880241394},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.549938976764679},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4565110504627228},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42734211683273315},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.41852471232414246},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37205904722213745},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.2112272083759308},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14458057284355164},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","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":"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":"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":"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":"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":"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":"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":"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":"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":"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":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","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":"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":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"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":"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":"D018660","descriptor_name":"Blood Pressure Monitoring, Ambulatory","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D018660","descriptor_name":"Blood Pressure Monitoring, Ambulatory","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D018660","descriptor_name":"Blood Pressure Monitoring, Ambulatory","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D018660","descriptor_name":"Blood Pressure Monitoring, Ambulatory","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D018660","descriptor_name":"Blood Pressure Monitoring, Ambulatory","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1109/jbhi.2024.3411693","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3411693","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:38857137","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38857137","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":"IEEE journal of biomedical and health informatics","raw_type":null},{"id":"pmh:oai:www.research-collection.ethz.ch:20.500.11850/677790","is_oa":true,"landing_page_url":"http://hdl.handle.net/20.500.11850/677790","pdf_url":null,"source":{"id":"https://openalex.org/S4306402302","display_name":"Repository for Publications and Research Data (ETH Zurich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I35440088","host_organization_name":"ETH Zurich","host_organization_lineage":["https://openalex.org/I35440088"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics, 28 (10)","raw_type":"info:eu-repo/semantics/acceptedVersion"},{"id":"doi:10.3929/ethz-b-000677790","is_oa":true,"landing_page_url":"https://doi.org/10.3929/ethz-b-000677790","pdf_url":null,"source":{"id":"https://openalex.org/S7407051236","display_name":"ETH Z\u00fcrich Research Collection","issn_l":null,"issn":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:www.research-collection.ethz.ch:20.500.11850/677790","is_oa":true,"landing_page_url":"http://hdl.handle.net/20.500.11850/677790","pdf_url":null,"source":{"id":"https://openalex.org/S4306402302","display_name":"Repository for Publications and Research Data (ETH Zurich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I35440088","host_organization_name":"ETH Zurich","host_organization_lineage":["https://openalex.org/I35440088"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics, 28 (10)","raw_type":"info:eu-repo/semantics/acceptedVersion"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.5799999833106995,"display_name":"Climate action"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321652","display_name":"Eidgen\u00f6ssische Technische Hochschule Z\u00fcrich","ror":"https://ror.org/05a28rw58"},{"id":"https://openalex.org/F4320324500","display_name":"Universidad de Valladolid","ror":"https://ror.org/01fvbaw18"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1989978708","https://openalex.org/W2047692880","https://openalex.org/W2052434974","https://openalex.org/W2068555665","https://openalex.org/W2083872334","https://openalex.org/W2163454308","https://openalex.org/W2770837559","https://openalex.org/W2807841289","https://openalex.org/W2887637888","https://openalex.org/W3025771857","https://openalex.org/W3106192827","https://openalex.org/W3106956917","https://openalex.org/W3161669023","https://openalex.org/W6644425214","https://openalex.org/W6654718447","https://openalex.org/W6663052992","https://openalex.org/W6673595108","https://openalex.org/W6678301611","https://openalex.org/W6682933812","https://openalex.org/W6682962330","https://openalex.org/W6717921545","https://openalex.org/W6724544336","https://openalex.org/W6726829533","https://openalex.org/W6736759764","https://openalex.org/W6744412100","https://openalex.org/W6756820438","https://openalex.org/W6760736257","https://openalex.org/W6763343948","https://openalex.org/W6772574531","https://openalex.org/W6775133140","https://openalex.org/W6775781753","https://openalex.org/W6780514110","https://openalex.org/W6782303142","https://openalex.org/W6784009865","https://openalex.org/W6785472181","https://openalex.org/W6791967554","https://openalex.org/W6801747369","https://openalex.org/W6802242951","https://openalex.org/W6802446583","https://openalex.org/W6803629679","https://openalex.org/W6805567393","https://openalex.org/W6807852798","https://openalex.org/W6809759843","https://openalex.org/W6810805826","https://openalex.org/W6810966060","https://openalex.org/W6811077467","https://openalex.org/W6811233478","https://openalex.org/W6811420843","https://openalex.org/W6839535676"],"related_works":["https://openalex.org/W1981961296","https://openalex.org/W3032478541","https://openalex.org/W2738438628","https://openalex.org/W2410564403","https://openalex.org/W2036253591","https://openalex.org/W2014463710","https://openalex.org/W2005309105","https://openalex.org/W2401016964","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Current":[0],"blood":[1],"pressure":[2],"(BP)":[3],"estimation":[4,41,222,233],"methods":[5],"have":[6],"not":[7],"achieved":[8],"an":[9,37],"accurate":[10],"and":[11,17,48,56,67,118,143,174,214,244,250],"adaptable":[12,74],"approach":[13,80],"for":[14,39,93,171,178,200,218],"ambulatory":[15,88,194,249],"diagnosis":[16],"monitoring":[18],"applications":[19],"of":[20,24,134,156,167,191,206,231],"populations":[21],"at":[22],"risk":[23],"cardiovascular":[25],"disease,":[26],"generally":[27],"due":[28],"to":[29,64,75,111,147,227],"a":[30,71,135,153,163,188,204],"limited":[31],"sample":[32],"size.":[33],"This":[34,79,224],"paper":[35],"introduces":[36],"algorithm":[38],"BP":[40,91,141,150,173,180,232],"solely":[42],"reliant":[43],"on":[44,139,181],"photoplethysmography":[45],"(PPG)":[46],"signals":[47],"demographic":[49,119],"features.":[50],"It":[51],"automatically":[52],"obtains":[53],"signal":[54,243],"features":[55,120,240],"employs":[57],"the":[58,76,84,107,112,182,201,228,242,246],"Markov":[59],"Blanket":[60],"(MB)":[61],"feature":[62,114,160],"selection":[63],"discern":[65],"informative":[66],"transmissible":[68],"features,":[69],"achieving":[70],"robust":[72],"space":[73,161],"population":[77],"shift.":[78],"was":[81],"validated":[82],"with":[83,162,196,203],"Aurora-BP":[85],"database,":[86],"compromising":[87],"wearable":[89],"cuffless":[90],"measurements":[92],"over":[94],"500":[95],"individuals.":[96],"After":[97],"evaluating":[98],"several":[99],"machine-learning":[100],"regression":[101],"methods,":[102],"Gradient":[103],"Boosting":[104],"emerged":[105],"as":[106],"most":[108],"effective.":[109],"According":[110],"MB":[113,159],"selection,":[115],"temporal,":[116],"frequency,":[117],"ranked":[121],"highest":[122],"in":[123,210,241],"importance,":[124],"while":[125],"statistical":[126],"ones":[127],"were":[128],"deemed":[129],"non-significant.":[130],"A":[131],"comparative":[132],"assessment":[133],"generic":[136],"model":[137],"(trained":[138],"unclassified":[140],"data)":[142],"specialized":[144],"models":[145],"(tailored":[146],"each":[148],"distinct":[149],"population),":[151],"demonstrated":[152],"consistent":[154],"superiority":[155],"our":[157],"proposed":[158],"mean":[164],"absolute":[165],"error":[166],"[Formula:":[168,175,207,215],"see":[169,176,208,216],"text]":[170,177,209,217],"systolic":[172,211],"diastolic":[179,219],"whole":[183],"dataset.":[184],"Moreover,":[185],"we":[186],"present":[187],"first":[189],"comparison":[190],"in-clinic":[192,251],"vs.":[193],"models,":[195],"performance":[197],"significantly":[198],"lower":[199],"latter":[202],"drop":[205],"(":[212,220],")":[213,221],"errors.":[223],"work":[225],"contributes":[226],"resilient":[229],"understanding":[230],"algorithms":[234],"from":[235],"PPG":[236],"signals,":[237],"providing":[238],"causal":[239],"quantifying":[245],"disparities":[247],"between":[248],"measurements.":[252]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
