{"id":"https://openalex.org/W3134056413","doi":"https://doi.org/10.1109/gcwkshps50303.2020.9367563","title":"Photoplethysmography and Machine Learning for the Hypertension Risk Stratification","display_name":"Photoplethysmography and Machine Learning for the Hypertension Risk Stratification","publication_year":2020,"publication_date":"2020-12-01","ids":{"openalex":"https://openalex.org/W3134056413","doi":"https://doi.org/10.1109/gcwkshps50303.2020.9367563","mag":"3134056413"},"language":"en","primary_location":{"id":"doi:10.1109/gcwkshps50303.2020.9367563","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcwkshps50303.2020.9367563","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Globecom Workshops (GC Wkshps","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078804257","display_name":"Giovanna Sannino","orcid":"https://orcid.org/0000-0001-7856-8761"},"institutions":[{"id":"https://openalex.org/I3005160176","display_name":"Institute for High Performance Computing and Networking","ror":"https://ror.org/04r5fge26","country_code":"IT","type":"facility","lineage":["https://openalex.org/I3005160176","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giovanna Sannino","raw_affiliation_strings":["ICAR CNR,Naples,Italy","ICAR CNR, Naples, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICAR CNR,Naples,Italy","institution_ids":["https://openalex.org/I3005160176"]},{"raw_affiliation_string":"ICAR CNR, Naples, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008040085","display_name":"Ivanoe De Falco","orcid":"https://orcid.org/0000-0001-6127-1195"},"institutions":[{"id":"https://openalex.org/I3005160176","display_name":"Institute for High Performance Computing and Networking","ror":"https://ror.org/04r5fge26","country_code":"IT","type":"facility","lineage":["https://openalex.org/I3005160176","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Ivanoe De Falco","raw_affiliation_strings":["ICAR CNR,Naples,Italy","ICAR CNR, Naples, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICAR CNR,Naples,Italy","institution_ids":["https://openalex.org/I3005160176"]},{"raw_affiliation_string":"ICAR CNR, Naples, Italy","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025157025","display_name":"Giuseppe De Pietro","orcid":"https://orcid.org/0000-0002-4675-5957"},"institutions":[{"id":"https://openalex.org/I3005160176","display_name":"Institute for High Performance Computing and Networking","ror":"https://ror.org/04r5fge26","country_code":"IT","type":"facility","lineage":["https://openalex.org/I3005160176","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giuseppe De Pietro","raw_affiliation_strings":["ICAR CNR,Naples,Italy","ICAR CNR, Naples, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICAR CNR,Naples,Italy","institution_ids":["https://openalex.org/I3005160176"]},{"raw_affiliation_string":"ICAR CNR, Naples, Italy","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1743,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.489868,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9990000128746033,"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/T11700","display_name":"Hemodynamic Monitoring and Therapy","score":0.9979000091552734,"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":0.8785330653190613},{"id":"https://openalex.org/keywords/blood-pressure","display_name":"Blood pressure","score":0.7167327404022217},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6635624766349792},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6187554597854614},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5091871619224548},{"id":"https://openalex.org/keywords/stratification","display_name":"Stratification (seeds)","score":0.4729048013687134},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47031083703041077},{"id":"https://openalex.org/keywords/risk-stratification","display_name":"Risk stratification","score":0.46067413687705994},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.441273033618927},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.4248964190483093},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3783251941204071},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.23397377133369446},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.16103798151016235},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15675613284111023},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.13247421383857727},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.11269944906234741},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.08602434396743774}],"concepts":[{"id":"https://openalex.org/C116390426","wikidata":"https://www.wikidata.org/wiki/Q7187885","display_name":"Photoplethysmogram","level":3,"score":0.8785330653190613},{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.7167327404022217},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6635624766349792},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6187554597854614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5091871619224548},{"id":"https://openalex.org/C192943249","wikidata":"https://www.wikidata.org/wiki/Q1893382","display_name":"Stratification (seeds)","level":5,"score":0.4729048013687134},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47031083703041077},{"id":"https://openalex.org/C3020404979","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk stratification","level":2,"score":0.46067413687705994},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.441273033618927},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.4248964190483093},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3783251941204071},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.23397377133369446},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.16103798151016235},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15675613284111023},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.13247421383857727},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.11269944906234741},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.08602434396743774},{"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/C100701293","wikidata":"https://www.wikidata.org/wiki/Q193838","display_name":"Germination","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},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C3527866","wikidata":"https://www.wikidata.org/wiki/Q162267","display_name":"Dormancy","level":3,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C88548481","wikidata":"https://www.wikidata.org/wiki/Q2397491","display_name":"Seed dormancy","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcwkshps50303.2020.9367563","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcwkshps50303.2020.9367563","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Globecom Workshops (GC Wkshps","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"},{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W94523489","https://openalex.org/W1498436455","https://openalex.org/W1528113134","https://openalex.org/W1528687555","https://openalex.org/W1576226931","https://openalex.org/W1670263352","https://openalex.org/W1770625086","https://openalex.org/W1912123407","https://openalex.org/W2006345381","https://openalex.org/W2023531846","https://openalex.org/W2032530309","https://openalex.org/W2071229756","https://openalex.org/W2078742622","https://openalex.org/W2083760618","https://openalex.org/W2088204643","https://openalex.org/W2106393550","https://openalex.org/W2112076978","https://openalex.org/W2122410182","https://openalex.org/W2125055259","https://openalex.org/W2132166479","https://openalex.org/W2147169507","https://openalex.org/W2151802193","https://openalex.org/W2156121263","https://openalex.org/W2162800060","https://openalex.org/W2204680686","https://openalex.org/W2313758645","https://openalex.org/W2524709446","https://openalex.org/W2560755629","https://openalex.org/W2584146692","https://openalex.org/W2755894455","https://openalex.org/W2783413808","https://openalex.org/W2783989798","https://openalex.org/W2801417501","https://openalex.org/W2886927786","https://openalex.org/W2889351385","https://openalex.org/W2898457169","https://openalex.org/W2903610377","https://openalex.org/W2906577143","https://openalex.org/W2911964244","https://openalex.org/W2912934387","https://openalex.org/W2952030713","https://openalex.org/W2955961229","https://openalex.org/W2989163328","https://openalex.org/W3004706883","https://openalex.org/W4212883601","https://openalex.org/W4244238212","https://openalex.org/W6629815555","https://openalex.org/W6631388279","https://openalex.org/W6634531628","https://openalex.org/W6640114639","https://openalex.org/W6676769703","https://openalex.org/W6678087030","https://openalex.org/W6682666224","https://openalex.org/W6770695924"],"related_works":["https://openalex.org/W2732360296","https://openalex.org/W1994871954","https://openalex.org/W4297152434","https://openalex.org/W2072858761","https://openalex.org/W1540261775","https://openalex.org/W4205793574","https://openalex.org/W4225612652","https://openalex.org/W2033590167","https://openalex.org/W1583810757","https://openalex.org/W2001086065"],"abstract_inverted_index":{"Blood":[0,115,142],"pressure":[1],"is":[2,47,120,126],"a":[3,16,53,136,156],"basic":[4],"physiological":[5],"parameter":[6],"in":[7,176],"the":[8,33,39,50,62,71,75,92,96,113],"cardiovascular":[9,30],"circulatory":[10],"system.":[11],"PhotoPlethysmoGraphy":[12],"(PPG)":[13],"signal":[14],"represents":[15],"convenient,":[17],"wearable,":[18],"and":[19,140,168],"low-cost":[20],"technology":[21],"that":[22,145],"can":[23],"be":[24],"applied":[25],"to":[26,48,61,68,101,148],"various":[27],"aspects":[28],"of":[29,35,44,52,55,74,91,138,159,178],"monitoring,":[31],"including":[32,131],"detection":[34],"blood":[36],"pressure,":[37],"i.e.,":[38],"hypertension":[40,63,151],"level.":[41],"The":[42],"goal":[43],"this":[45,69,103],"paper":[46],"explore":[49],"behavior":[51],"set":[54,125],"machine":[56,160],"learning":[57,161],"methods":[58],"with":[59],"respect":[60],"risk":[64,179],"stratification.":[65],"With":[66],"reference":[67],"issue,":[70],"discrimination":[72],"ability":[73],"investigated":[76],"algorithms":[77],"has":[78,172],"been":[79,173],"considered":[80,121],"at":[81],"three":[82,106],"different":[83,107],"granularity":[84],"levels,":[85],"i.e.":[86],"by":[87,128],"suitably":[88],"joining":[89],"some":[90],"classes":[93],"making":[94],"up":[95],"data":[97,124,133],"set,":[98],"so":[99],"as":[100],"partition":[102],"latter":[104],"into":[105],"ways.":[108],"To":[109],"fulfill":[110],"our":[111],"goal,":[112],"Cuff-Less":[114],"Pressure":[116,143],"Estimation":[117],"Data":[118],"Set":[119],"here.":[122],"This":[123],"composed":[127],"many":[129],"signals,":[130],"PPG":[132],"acquired":[134],"from":[135],"group":[137,158],"subjects,":[139],"their":[141,150,169],"values,":[144],"are":[146],"used":[147,155],"represent":[149],"levels.":[152],"We":[153],"have":[154],"large":[157],"tools,":[162],"relying":[163],"on":[164],"differing":[165],"working":[166],"methods,":[167],"numerical":[170],"comparison":[171],"carried":[174],"out":[175],"terms":[177],"stratification":[180],"results.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}