Innovative continuous non-invasive cuffless blood pressure monitoring based on photoplethysmography technology

Purpose: To develop and validate a continuous non-invasive blood pressure (BP) monitoring system using photoplethysmography (PPG) technology through pulse oximetry (PO). Methods: This prospective study was conducted at a critical care department and post-anesthesia care unit of a university teaching...

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Autores: Ruiz-Rodriguez, Juan Carlos|||0000-0001-7392-8617, Ruiz-Sanmartín, Adolfo|||0000-0001-5587-5419, Ribas Ripoll, Vicent|||0000-0002-7266-6106, Caballero, Jesús|||0000-0001-9005-9687, Garcia Roche, Alejandra|||0009-0005-8638-6876, Riera, Jordi|||0000-0003-4567-8088, Nuvials, Xavier|||0000-0002-6648-2394, Nadal Clanchet, Miriam de|||0000-0002-4559-2463, Serra, Joaquim, Rello, Jordi|||0000-0003-0676-6210, Solà Morales, Oriol de
Tipo de recurso: artículo
Fecha de publicación:2013
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:324158
Acceso en línea:https://ddd.uab.cat/record/324158
https://dx.doi.org/urn:doi:10.1007/s00134-013-2964-2
Access Level:acceso abierto
Palabra clave:Non-invasive hemodynamic monitoring
Blood pressure
Photoplethysmography
Critical care
Machine learning
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spelling Innovative continuous non-invasive cuffless blood pressure monitoring based on photoplethysmography technologyRuiz-Rodriguez, Juan Carlos|||0000-0001-7392-8617Ruiz-Sanmartín, Adolfo|||0000-0001-5587-5419Ribas Ripoll, Vicent|||0000-0002-7266-6106Caballero, Jesús|||0000-0001-9005-9687Garcia Roche, Alejandra|||0009-0005-8638-6876Riera, Jordi|||0000-0003-4567-8088Nuvials, Xavier|||0000-0002-6648-2394Nadal Clanchet, Miriam de|||0000-0002-4559-2463Serra, JoaquimRello, Jordi|||0000-0003-0676-6210Solà Morales, Oriol deNon-invasive hemodynamic monitoringBlood pressurePhotoplethysmographyCritical careMachine learningPurpose: To develop and validate a continuous non-invasive blood pressure (BP) monitoring system using photoplethysmography (PPG) technology through pulse oximetry (PO). Methods: This prospective study was conducted at a critical care department and post-anesthesia care unit of a university teaching hospital. Inclusion criteria were critically ill adult patients undergoing invasive BP measurement with an arterial catheter and PO monitoring. Exclusion criteria were arrhythmia, imminent death condition, and disturbances in the arterial or the PPG curve morphology. Arterial BP and finger PO waves were recorded simultaneously for 30 min. Systolic arterial pressure (SAP), mean arterial pressure (MAP), and diastolic arterial pressure (DAP) were extracted from computer-assisted arterial pulse wave analysis. Inherent traits of both waves were used to construct a regression model with a Deep Belief Network-Restricted Boltzmann Machine (DBN-RBM) from a training cohort of patients and in order to infer BP values from the PO wave. Bland-Altman analysis was performed. Results: A total of 707 patients were enrolled, of whom 135 were excluded. Of the 572 studied, 525 were assigned to the training cohort (TC) and 47 to the validation cohort (VC). After data processing, 53,708 frames were obtained from the TC and 7,715 frames from the VC. The mean prediction biases were -2.98 ± 19.35, -3.38 ± 10.35, and -3.65 ± 8.69 mmHg for SAP, MAP, and DAP respectively. Conclusions: BP can be inferred from PPG using DBN-RBM modeling techniques. The results obtained with this technology are promising, but its intrinsic variability and its wide limits of agreement do not allow clinical application at this time.Universitat Autònoma de Barcelona. Departament de Medicina 22013-01-0120132013-01-01Articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/324158https://dx.doi.org/urn:doi:10.1007/s00134-013-2964-2reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengopen accesshttp://purl.org/coar/access_right/c_abf2Aquest material està protegit per drets d'autor i/o drets afins. Podeu utilitzar aquest material en funció del que permet la legislació de drets d'autor i drets afins d'aplicació al vostre cas. Per a d'altres usos heu d'obtenir permís del(s) titular(s) de drets.https://rightsstatements.org/vocab/InC/1.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:3241582026-06-06T12:50:31Z
dc.title.none.fl_str_mv Innovative continuous non-invasive cuffless blood pressure monitoring based on photoplethysmography technology
title Innovative continuous non-invasive cuffless blood pressure monitoring based on photoplethysmography technology
spellingShingle Innovative continuous non-invasive cuffless blood pressure monitoring based on photoplethysmography technology
Ruiz-Rodriguez, Juan Carlos|||0000-0001-7392-8617
Non-invasive hemodynamic monitoring
Blood pressure
Photoplethysmography
Critical care
Machine learning
title_short Innovative continuous non-invasive cuffless blood pressure monitoring based on photoplethysmography technology
title_full Innovative continuous non-invasive cuffless blood pressure monitoring based on photoplethysmography technology
title_fullStr Innovative continuous non-invasive cuffless blood pressure monitoring based on photoplethysmography technology
title_full_unstemmed Innovative continuous non-invasive cuffless blood pressure monitoring based on photoplethysmography technology
title_sort Innovative continuous non-invasive cuffless blood pressure monitoring based on photoplethysmography technology
dc.creator.none.fl_str_mv Ruiz-Rodriguez, Juan Carlos|||0000-0001-7392-8617
Ruiz-Sanmartín, Adolfo|||0000-0001-5587-5419
Ribas Ripoll, Vicent|||0000-0002-7266-6106
Caballero, Jesús|||0000-0001-9005-9687
Garcia Roche, Alejandra|||0009-0005-8638-6876
Riera, Jordi|||0000-0003-4567-8088
Nuvials, Xavier|||0000-0002-6648-2394
Nadal Clanchet, Miriam de|||0000-0002-4559-2463
Serra, Joaquim
Rello, Jordi|||0000-0003-0676-6210
Solà Morales, Oriol de
author Ruiz-Rodriguez, Juan Carlos|||0000-0001-7392-8617
author_facet Ruiz-Rodriguez, Juan Carlos|||0000-0001-7392-8617
Ruiz-Sanmartín, Adolfo|||0000-0001-5587-5419
Ribas Ripoll, Vicent|||0000-0002-7266-6106
Caballero, Jesús|||0000-0001-9005-9687
Garcia Roche, Alejandra|||0009-0005-8638-6876
Riera, Jordi|||0000-0003-4567-8088
Nuvials, Xavier|||0000-0002-6648-2394
Nadal Clanchet, Miriam de|||0000-0002-4559-2463
Serra, Joaquim
Rello, Jordi|||0000-0003-0676-6210
Solà Morales, Oriol de
author_role author
author2 Ruiz-Sanmartín, Adolfo|||0000-0001-5587-5419
Ribas Ripoll, Vicent|||0000-0002-7266-6106
Caballero, Jesús|||0000-0001-9005-9687
Garcia Roche, Alejandra|||0009-0005-8638-6876
Riera, Jordi|||0000-0003-4567-8088
Nuvials, Xavier|||0000-0002-6648-2394
Nadal Clanchet, Miriam de|||0000-0002-4559-2463
Serra, Joaquim
Rello, Jordi|||0000-0003-0676-6210
Solà Morales, Oriol de
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universitat Autònoma de Barcelona. Departament de Medicina
dc.subject.none.fl_str_mv Non-invasive hemodynamic monitoring
Blood pressure
Photoplethysmography
Critical care
Machine learning
topic Non-invasive hemodynamic monitoring
Blood pressure
Photoplethysmography
Critical care
Machine learning
description Purpose: To develop and validate a continuous non-invasive blood pressure (BP) monitoring system using photoplethysmography (PPG) technology through pulse oximetry (PO). Methods: This prospective study was conducted at a critical care department and post-anesthesia care unit of a university teaching hospital. Inclusion criteria were critically ill adult patients undergoing invasive BP measurement with an arterial catheter and PO monitoring. Exclusion criteria were arrhythmia, imminent death condition, and disturbances in the arterial or the PPG curve morphology. Arterial BP and finger PO waves were recorded simultaneously for 30 min. Systolic arterial pressure (SAP), mean arterial pressure (MAP), and diastolic arterial pressure (DAP) were extracted from computer-assisted arterial pulse wave analysis. Inherent traits of both waves were used to construct a regression model with a Deep Belief Network-Restricted Boltzmann Machine (DBN-RBM) from a training cohort of patients and in order to infer BP values from the PO wave. Bland-Altman analysis was performed. Results: A total of 707 patients were enrolled, of whom 135 were excluded. Of the 572 studied, 525 were assigned to the training cohort (TC) and 47 to the validation cohort (VC). After data processing, 53,708 frames were obtained from the TC and 7,715 frames from the VC. The mean prediction biases were -2.98 ± 19.35, -3.38 ± 10.35, and -3.65 ± 8.69 mmHg for SAP, MAP, and DAP respectively. Conclusions: BP can be inferred from PPG using DBN-RBM modeling techniques. The results obtained with this technology are promising, but its intrinsic variability and its wide limits of agreement do not allow clinical application at this time.
publishDate 2013
dc.date.none.fl_str_mv 2
2013-01-01
2013
2013-01-01
dc.type.none.fl_str_mv Article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://ddd.uab.cat/record/324158
https://dx.doi.org/urn:doi:10.1007/s00134-013-2964-2
url https://ddd.uab.cat/record/324158
https://dx.doi.org/urn:doi:10.1007/s00134-013-2964-2
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://rightsstatements.org/vocab/InC/1.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://rightsstatements.org/vocab/InC/1.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Dipòsit Digital de Documents de la UAB
instname:Universitat Autònoma de Barcelona
instname_str Universitat Autònoma de Barcelona
reponame_str Dipòsit Digital de Documents de la UAB
collection Dipòsit Digital de Documents de la UAB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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