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dc.contributor.authorMartín Martínez, Diego
dc.contributor.authorDomingues, Alexandre
dc.contributor.authorCasaseca de la Higuera, Juan Pablo 
dc.contributor.authorAlberola López, Carlos 
dc.contributor.authorSanches, Joao
dc.date.accessioned2015-12-21T11:49:51Z
dc.date.available2015-12-21T11:49:51Z
dc.date.issued2015
dc.identifier.citationLecture Notes in Computer Science, Vol. 9117, pp. 595-602, 2015.es
dc.identifier.urihttp://uvadoc.uva.es/handle/10324/15159
dc.description.abstractUbiquitous monitoring has become a useful tool for the pre- vention and early diagnosis of some disorders. This kind of monitoring has been promoted last years thanks to the irruption of the smartphones, which make easier the collection and delivery of the patient's data. How- ever, there are some problems with the quality of the acquired data. This paper presents a novel methodology in which the shape of PPG beats is recovered through a multistage full-automatic pipeline including shape modeling stage and template{based (template estimated from the sur- rounding beats) shape recovery through a level{set approach. To validate the proposal, a registry acquired using the camera of a Motorola MotoG has been used. Results can be quali ed as promising, since the shape of damaged beats is recovered, however a more comprehensive validation must be addressed.es
dc.format.mimetypeapplication/pdfes
dc.language.isospaes
dc.publisherSpringer Verlages
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectUbiquitous monitoringes
dc.subjectSmartphoneses
dc.subjectPhotopletysmographyes
dc.subjectShape modeles
dc.subjectProbabilistic templatees
dc.subjectLevel-setes
dc.titlePPG Beat Reconstruction Based on Shape Models and Probabilistic Templates for Signals Acquired with Conventional Smartphoneses
dc.typeinfo:eu-repo/semantics/bookPartes
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International


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