{"id":"https://openalex.org/W2968051032","doi":"https://doi.org/10.1109/memea.2019.8802145","title":"Deep Learning for Blood Pressure Estimation: an Approach using Local Measure of Arterial Dual Diameter Waveforms","display_name":"Deep Learning for Blood Pressure Estimation: an Approach using Local Measure of Arterial Dual Diameter Waveforms","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2968051032","doi":"https://doi.org/10.1109/memea.2019.8802145","mag":"2968051032"},"language":"en","primary_location":{"id":"doi:10.1109/memea.2019.8802145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea.2019.8802145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5076853968","display_name":"P M Nabeel","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nabeel P.M.","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006921072","display_name":"Vinay Chilaka","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vinay Chilaka","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5096851483","display_name":"Raj Kiran V.","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Raj Kiran V.","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020295407","display_name":"Jayaraj Joseph","orcid":"https://orcid.org/0000-0002-7279-9099"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jayaraj Joseph","raw_affiliation_strings":["Indian Institute of Technology Madras, Chennai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056763944","display_name":"Mohanasankar Sivaprakasam","orcid":"https://orcid.org/0000-0002-6714-9147"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mohanasankar Sivaprakasam","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24676775"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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":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":0.9986000061035156,"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":0.9980000257492065,"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/measure","display_name":"Measure (data warehouse)","score":0.7195499539375305},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.6888791918754578},{"id":"https://openalex.org/keywords/blood-pressure","display_name":"Blood pressure","score":0.6357322931289673},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5948041081428528},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45539727807044983},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3977031111717224},{"id":"https://openalex.org/keywords/biomedical-engineering","display_name":"Biomedical engineering","score":0.3296024203300476},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2371143102645874},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.21839478611946106},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.13056805729866028},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12301766872406006}],"concepts":[{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.7195499539375305},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.6888791918754578},{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.6357322931289673},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5948041081428528},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45539727807044983},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3977031111717224},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.3296024203300476},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2371143102645874},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.21839478611946106},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.13056805729866028},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12301766872406006},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/memea.2019.8802145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea.2019.8802145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1481607610","https://openalex.org/W2009897681","https://openalex.org/W2014231512","https://openalex.org/W2018750636","https://openalex.org/W2083872334","https://openalex.org/W2117482623","https://openalex.org/W2294418644","https://openalex.org/W2534385885","https://openalex.org/W2803973046","https://openalex.org/W2888721953","https://openalex.org/W2894890204","https://openalex.org/W2907553478"],"related_works":["https://openalex.org/W1974895211","https://openalex.org/W2176409448","https://openalex.org/W2129841057","https://openalex.org/W3040712279","https://openalex.org/W2364769705","https://openalex.org/W2056136368","https://openalex.org/W2374664672","https://openalex.org/W4367555392","https://openalex.org/W2883092465","https://openalex.org/W2114441484"],"abstract_inverted_index":{"In":[0,95,217],"this":[1],"work,":[2],"we":[3],"present":[4,97],"a":[5,16,73,76,131,204,223],"novel":[6,225],"approach":[7,198,221],"for":[8,62,84,174,212,229],"ubiquitous":[9],"blood":[10,58],"pressure":[11,190,234],"(BP)":[12],"measurement":[13,86,137,176,231],"that":[14,28,195],"involves":[15],"deep":[17],"learning":[18],"technique":[19,228],"based":[20],"on":[21,159],"the":[22,25,46,50,99,110,126,135,146,168,181,188,196,219],"extraction":[23],"of":[24,31,53,78,87,177,206,232],"inherent":[26],"features":[27,52,165],"are":[29],"indicative":[30],"arterial":[32,55,93,128,233],"pressure-diameter":[33],"and":[34,57,72,144,184,209,214],"pulse":[35,59],"transit":[36],"relationships.":[37],"The":[38,114,139],"proposed":[39,197,220],"artificial":[40],"neural":[41],"network":[42],"(ANN)":[43],"architecture":[44],"is":[45],"first":[47],"to":[48,104,119,142,186],"use":[49],"combined":[51],"local":[54,106],"dimensions":[56],"propagation":[60],"characteristics":[61],"continuous,":[63],"cuffless":[64,226],"BP":[65,117,149,178,227],"estimation.":[66],"A":[67],"dual-channel":[68],"A-mode":[69],"ultrasound":[70,80],"system":[71],"probe":[74,100],"with":[75,134,203],"pair":[77],"single-element":[79],"transducers":[81],"were":[82,172],"developed":[83,147],"simultaneous":[85],"luminal":[88],"diameter":[89,136,170],"waveforms":[90],"from":[91,109,125,167,180],"small":[92],"segments.":[94],"our":[96],"system,":[98],"design":[101],"was":[102,123,152],"optimized":[103],"capture":[105],"vessel":[107],"dynamics":[108],"common":[111],"carotid":[112,182,189],"artery.":[113],"reference":[115],"continuous":[116,230],"corresponding":[118],"individual":[120],"cardiac":[121],"cycles":[122],"acquired":[124],"same":[127],"segment":[129],"using":[130],"tonometer":[132],"synchronized":[133],"system.":[138],"data":[140],"required":[141],"train":[143],"validate":[145],"ANN-based":[148],"estimation":[150],"model":[151],"recorded":[153],"by":[154],"conducting":[155],"an":[156,200],"in-vivo":[157],"study":[158],"20":[160],"young":[161],"subjects.":[162],"Thirty-seven":[163],"unique":[164],"derived":[166],"dual":[169],"waveform":[171],"extracted":[173],"beat-by-beat":[175],"parameters":[179],"site,":[183],"hence":[185],"construct":[187],"waveform.":[191,235],"Experimental":[192],"results":[193],"showed":[194],"exhibited":[199],"acceptable":[201],"accuracy,":[202],"root-mean-square-error":[205],"4":[207],"mmHg":[208,211],"6":[210],"DBP":[213],"SBP":[215],"respectively.":[216],"conclusion,":[218],"provides":[222],"potentially":[224]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}