{"id":"https://openalex.org/W4360618647","doi":"https://doi.org/10.3390/s23063359","title":"Photoplethysmography Driven Hypertension Identification: A Pilot Study","display_name":"Photoplethysmography Driven Hypertension Identification: A Pilot Study","publication_year":2023,"publication_date":"2023-03-22","ids":{"openalex":"https://openalex.org/W4360618647","doi":"https://doi.org/10.3390/s23063359","pmid":"https://pubmed.ncbi.nlm.nih.gov/36992070"},"language":"en","primary_location":{"id":"doi:10.3390/s23063359","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23063359","pdf_url":"https://www.mdpi.com/1424-8220/23/6/3359/pdf?version=1679491392","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/6/3359/pdf?version=1679491392","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103883423","display_name":"Liangwen Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangwen Yan","raw_affiliation_strings":["School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064276586","display_name":"Mingsen Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingsen Wei","raw_affiliation_strings":["School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007768081","display_name":"Sijung Hu","orcid":"https://orcid.org/0000-0002-9637-4730"},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sijung Hu","raw_affiliation_strings":["School of Electronic, Electrical and Systems Engineering, Loughborough University, Ashby Road, Loughborough, Leicestershire LE11 3TU, UK"],"raw_orcid":"https://orcid.org/0000-0002-9637-4730","affiliations":[{"raw_affiliation_string":"School of Electronic, Electrical and Systems Engineering, Loughborough University, Ashby Road, Loughborough, Leicestershire LE11 3TU, UK","institution_ids":["https://openalex.org/I143804889"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001611987","display_name":"Bo Sheng","orcid":"https://orcid.org/0000-0003-1236-6504"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bo Sheng","raw_affiliation_strings":["School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001611987"],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.6261,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.6263272,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"23","issue":"6","first_page":"3359","last_page":"3359"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9991999864578247,"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":0.9991999864578247,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9952999949455261,"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"}},{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9911999702453613,"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":0.845795214176178},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7394007444381714},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6779649257659912},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6274881362915039},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6269915103912354},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.522830069065094},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.5138750076293945},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.4652339816093445},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.4224613606929779},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3904667794704437},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3407615125179291},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.13431772589683533},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.12453705072402954}],"concepts":[{"id":"https://openalex.org/C116390426","wikidata":"https://www.wikidata.org/wiki/Q7187885","display_name":"Photoplethysmogram","level":3,"score":0.845795214176178},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7394007444381714},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6779649257659912},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6274881362915039},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6269915103912354},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.522830069065094},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.5138750076293945},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.4652339816093445},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.4224613606929779},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3904667794704437},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3407615125179291},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.13431772589683533},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.12453705072402954},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","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":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":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":"D006973","descriptor_name":"Hypertension","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D006973","descriptor_name":"Hypertension","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D006973","descriptor_name":"Hypertension","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D010865","descriptor_name":"Pilot Projects","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010865","descriptor_name":"Pilot Projects","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010865","descriptor_name":"Pilot Projects","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017156","descriptor_name":"Photoplethysmography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017156","descriptor_name":"Photoplethysmography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017156","descriptor_name":"Photoplethysmography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s23063359","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23063359","pdf_url":"https://www.mdpi.com/1424-8220/23/6/3359/pdf?version=1679491392","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:36992070","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36992070","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10056023","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10056023","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10056023/pdf/sensors-23-03359.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:080d51a79e894167aa07958e5eaffa33","is_oa":true,"landing_page_url":"https://doaj.org/article/080d51a79e894167aa07958e5eaffa33","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":"Sensors, Vol 23, Iss 6, p 3359 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/6/3359/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23063359","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 23; Issue 6; Pages: 3359","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23063359","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23063359","pdf_url":"https://www.mdpi.com/1424-8220/23/6/3359/pdf?version=1679491392","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2471332790","display_name":null,"funder_award_id":"62103252","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4360618647.pdf"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1982483587","https://openalex.org/W1985034572","https://openalex.org/W1992886312","https://openalex.org/W1995926160","https://openalex.org/W2136848157","https://openalex.org/W2140401938","https://openalex.org/W2316316928","https://openalex.org/W2484483641","https://openalex.org/W2767728205","https://openalex.org/W2889779412","https://openalex.org/W2898457169","https://openalex.org/W2947247413","https://openalex.org/W2969696767","https://openalex.org/W2971724044","https://openalex.org/W2996234473","https://openalex.org/W3000514658","https://openalex.org/W3000965547","https://openalex.org/W3011803617","https://openalex.org/W3017370956","https://openalex.org/W3023529892","https://openalex.org/W3187560954","https://openalex.org/W3193296100","https://openalex.org/W3211111899","https://openalex.org/W4224242054","https://openalex.org/W4229448032","https://openalex.org/W4289792861","https://openalex.org/W4289861031","https://openalex.org/W4293812305","https://openalex.org/W4296350370","https://openalex.org/W4307570923","https://openalex.org/W4311054922","https://openalex.org/W4316039505","https://openalex.org/W4316363388","https://openalex.org/W4319160673","https://openalex.org/W6771799424","https://openalex.org/W6772912216"],"related_works":["https://openalex.org/W4205793574","https://openalex.org/W4225612652","https://openalex.org/W3090300519","https://openalex.org/W2514492205","https://openalex.org/W4250401876","https://openalex.org/W2943851981","https://openalex.org/W2095299560","https://openalex.org/W2907667791","https://openalex.org/W3047461507","https://openalex.org/W3126390843"],"abstract_inverted_index":{"To":[0,125],"prevent":[1],"and":[2,55,76,102,117,155,206],"diagnose":[3,205],"hypertension":[4,157,215],"early,":[5],"there":[6],"has":[7],"been":[8],"a":[9,27,78,99,145,210],"growing":[10],"demand":[11],"to":[12,24,50,63,84,107,121,138,161,194,212],"identify":[13,207],"its":[14],"states":[15],"that":[16,169],"align":[17],"with":[18,36,151],"patients.":[19],"This":[20],"pilot":[21],"study":[22,72],"aims":[23],"research":[25],"how":[26],"non-invasive":[28],"method":[29,202],"using":[30,220],"photoplethysmographic":[31],"(PPG)":[32],"signals":[33,54],"works":[34],"together":[35],"deep":[37,79],"learning":[38,68,80],"algorithms.":[39],"A":[40,149],"portable":[41],"PPG":[42,53],"acquisition":[43],"device":[44],"(Max30101":[45],"photonic":[46],"sensor)":[47],"was":[48,136,159],"utilized":[49],"(1)":[51],"capture":[52,139],"(2)":[56],"wirelessly":[57],"transmit":[58],"data":[59,75,111,141],"sets.":[60],"In":[61],"contrast":[62],"traditional":[64],"feature":[65],"engineering":[66],"machine":[67],"classification":[69],"schemes,":[70],"this":[71],"preprocessed":[73],"raw":[74,90],"applied":[77],"algorithm":[81],"(LSTM-Attention)":[82],"directly":[83],"extract":[85],"deeper":[86],"correlations":[87],"between":[88,129],"these":[89,163],"datasets.":[91,164],"The":[92,165,185,197],"Long":[93],"Short-Term":[94],"Memory":[95],"(LSTM)":[96],"model":[97,172,186],"underlying":[98],"gate":[100],"mechanism":[101,135],"memory":[103],"unit":[104],"enables":[105],"it":[106],"handle":[108],"long":[109],"sequence":[110],"more":[112,140],"effectively,":[113],"avoiding":[114],"gradient":[115],"disappearance":[116],"possessing":[118],"the":[119,127,170,200],"ability":[120],"solve":[122],"long-term":[123],"dependencies.":[124],"enhance":[126],"correlation":[128],"distant":[130],"sampling":[131],"points,":[132],"an":[133],"attention":[134],"introduced":[137],"change":[142],"features":[143],"than":[144],"separate":[146],"LSTM":[147],"model.":[148],"protocol":[150],"15":[152,156],"healthy":[153],"volunteers":[154],"patients":[158],"implemented":[160],"obtain":[162],"processed":[166],"result":[167],"demonstrates":[168],"proposed":[171,188,201],"could":[173,203,216],"present":[174],"satisfactory":[175],"performance":[176,192],"(accuracy:":[177],"0.991;":[178],"precision:":[179],"0.989;":[180],"recall:":[181],"0.993;":[182],"F1-score:":[183],"0.991).":[184],"we":[187],"also":[189],"demonstrated":[190],"superior":[191],"compared":[193],"related":[195],"studies.":[196],"outcome":[198],"indicates":[199],"effectively":[204],"hypertension;":[208],"thus,":[209],"paradigm":[211],"cost-effectively":[213],"screen":[214],"rapidly":[217],"be":[218],"established":[219],"wearable":[221],"smart":[222],"devices.":[223]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}