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dc.contributor.authorGuede Fernández, Federico
dc.contributor.authorFerrer Mileo, Víctor
dc.contributor.authorMateu Mateus, Marc
dc.contributor.authorRamos Castro, Juan José
dc.contributor.authorGarcía González, Miguel Ángel
dc.contributor.authorFernández Chimeno, Mireya
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Enginyeria Electrònica
dc.date.accessioned2019-11-13T18:35:38Z
dc.date.available2020-11-09T01:26:15Z
dc.date.issued2020-03
dc.identifier.citationGuede, F. [et al.]. A photoplethysmography smartphone-based method for heart rate variability assessment: device model and breathing influences. "Biomedical signal processing and control", Març 2020, vol. 57, p. 101717:1-101717:9.
dc.identifier.issn1746-8094
dc.identifier.urihttp://hdl.handle.net/2117/172367
dc.description© 2019 Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.description.abstractA measurement method of heart rate and heart rate variability (HRV) based on smartphone has been developed and validated. The method is based on photoplethysmography (PPG) acquired with the smartphone camera (SPPG). SPPG was compared with the electrocardiogram (ECG), used as the gold standard, and with an external PPG sensor. Twenty-three healthy subjects were measured using two different smartphone models in three different breathing conditions. The error of the first differentiation between SPPG and ECG series is minimized with the fiducial point at maximum first derivative of the SPPG. The obtained standard deviation of error (SDE) between SPPG and ECG is around 5.4 ms and it is similar to SDE between PPG and ECG. Good agreement between SPPG and ECG for NN, SDNN and RMSSD have been found but it is insufficient agreement for LF/HF. Similar levels of agreement for SPPG-ECG and PPG-ECG have been obtained for the HRV indices. Finally, the differences between smartphone models for HRV indices are slight. Therefore, the smartphone can be used for measuring accurately the following HRV indices: NN, SDNN and RMSSD.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria biomèdica
dc.subject.lcshBiomedical engineering
dc.subject.lcshHeart beat
dc.subject.otherHeart rate variability
dc.subject.otherMobile application
dc.subject.otherPhotoplethysmography
dc.subject.otherCamera
dc.titleA photoplethysmography smartphone-based method for heart rate variability assessment: device model and breathing influences
dc.typeArticle
dc.subject.lemacEnginyeria biomèdica
dc.subject.lemacCor -- Batecs
dc.contributor.groupUniversitat Politècnica de Catalunya. IEB - Instrumentació Electrònica i Biomèdica
dc.identifier.doi10.1016/j.bspc.2019.101717
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/abs/pii/S1746809419302988
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac25963592
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/2PE/DEP2015-68538-C2-2-R
dc.date.lift2021-11-09
local.citation.authorGuede, F.; Ferrer, V.; Mateu, M.; Ramos, J.; Garcia, M.; Fernandez, M.
local.citation.publicationNameBiomedical signal processing and control
local.citation.volume57
local.citation.startingPage101717:1
local.citation.endingPage101717:9


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Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain