IoT Medical Device Architecture to Estimate Non-invasive Arterial Blood Pressure

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dc.contributorSistema FMUSP-HC: Faculdade de Medicina da Universidade de São Paulo (FMUSP) e Hospital das Clínicas da FMUSP
dc.contributor.authorMORENO, Ramon
dc.contributor.authorDIAS, Felipe
dc.contributor.authorARRUDA, Marcelo
dc.contributor.authorOLIVEIRA, Filipe
dc.contributor.authorBULHOES, Thiago
dc.contributor.authorKRIEGER, Jose
dc.contributor.authorGUTIERREZ, Marco
dc.date.accessioned2023-11-16T20:01:50Z
dc.date.available2023-11-16T20:01:50Z
dc.date.issued2022
dc.description.abstractHigh blood pressure (BP) is the leading cause of death worldwide. Besides being a treatable condition, alongside medication and a healthy diet, it requires regular BP measurements to assess whether a patient is properly responding to treatment. There have been many attempts to use the photoplethysmography (PPG) signal to estimate BP continuously, but there has yet to be an effective solution. This work presents our efforts to develop a new method for estimating BP from PPG and infrastructure to collect, process, and store this information. PPG signal is measured from a smartband; our App reads the data from the smartband to a smartphone, processes them using a machine learning method, and estimates BP, which is sent to a server that stores and displays the dataeng
dc.description.conferencedateOCT 24-28, 2022
dc.description.conferencelocalUniv Sao Paulo, Sao Paulo, BRAZIL
dc.description.conferencenameInternational Symposium on Internet of Things (SIoT)
dc.description.indexWoS
dc.description.sponsorshipZerbini Foundation
dc.description.sponsorshipFoxconn Brazil as part of the research project ""Sistema para monitoramento continuo de biomarcadores cardiovasculares atraves de dispositivos vestiveis""
dc.identifier.citation2022 SYMPOSIUM ON INTERNET OF THINGS, SIOT, 2022
dc.identifier.doi10.1109/SIOT56383.2022.10069878
dc.identifier.isbn978-1-6654-7475-7
dc.identifier.urihttps://observatorio.fm.usp.br/handle/OPI/56975
dc.language.isoeng
dc.publisherIEEEeng
dc.relation.ispartof2022 Symposium on Internet of Things, Siot
dc.rightsrestrictedAccesseng
dc.rights.holderCopyright IEEEeng
dc.subjectphotoplethysmographyeng
dc.subjectPPGeng
dc.subjectinfrastructureeng
dc.subjectBluetootheng
dc.subjectIoTeng
dc.subject.wosComputer Science, Information Systemseng
dc.subject.wosComputer Science, Interdisciplinary Applicationseng
dc.subject.wosEngineering, Electrical & Electroniceng
dc.subject.wosTelecommunicationseng
dc.titleIoT Medical Device Architecture to Estimate Non-invasive Arterial Blood Pressureeng
dc.typeconferenceObjecteng
dc.type.categoryproceedings papereng
dc.type.versionpublishedVersioneng
dspace.entity.typePublication
hcfmusp.author.externalDIAS, Felipe:Sao Paulo Med Sch, Inst Heart, Informat Div, Sao Paulo, Brazil
hcfmusp.author.externalBULHOES, Thiago:Univ Fed ABC, Ctr Matemat Comp & Cognicao, Sao Paulo, Brazil
hcfmusp.contributor.author-fmusphcRAMON ALFREDO MORENO
hcfmusp.contributor.author-fmusphcMARCELO ARRUDA FIUZA DE TOLEDO
hcfmusp.contributor.author-fmusphcFILIPE AUGUSTO DE CASTRO OLIVEIRA
hcfmusp.contributor.author-fmusphcJOSE EDUARDO KRIEGER
hcfmusp.contributor.author-fmusphcMARCO ANTONIO GUTIERREZ
hcfmusp.origemWOS
hcfmusp.origem.wosWOS:001023279100001
hcfmusp.publisher.cityNEW YORKeng
hcfmusp.publisher.countryUSAeng
hcfmusp.relation.referenceEl-Hajj C, 2021, BIOMED SIGNAL PROCES, V70, DOI 10.1016/j.bspc.2021.102984eng
hcfmusp.relation.referenceNilson EAF, 2020, REV PANAM SALUD PUBL, V44, DOI 10.26633/RPSP.2020.32eng
hcfmusp.relation.referenceKachuee M, 2017, IEEE T BIO-MED ENG, V64, P859, DOI 10.1109/TBME.2016.2580904eng
hcfmusp.relation.referenceLin WH, 2020, PHYSIOL MEAS, V41, DOI 10.1088/1361-6579/ab7d78eng
hcfmusp.relation.referencePanwar M, 2020, IEEE SENS J, V20, P10000, DOI 10.1109/JSEN.2020.2990864eng
hcfmusp.relation.referenceSaeed M, 2011, CRIT CARE MED, V39, P952, DOI 10.1097/CCM.0b013e31820a92c6eng
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Comunicações em Eventos - FM/MCP
Comunicações em Eventos - HC/InCor
Comunicações em Eventos - LIM/13
Comunicações em Eventos - LIM/65