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Por favor, use este identificador para citar o enlazar este ítem: http://uvadoc.uva.es/handle/10324/15159
Título: PPG Beat Reconstruction Based on Shape Models and Probabilistic Templates for Signals Acquired with Conventional Smartphones
Autor: Martín-Martínez, Diego
Domingues, Alexandre
Casaseca-de-la-Higuera, Pablo
Alberola-López, Carlos
Sanches, Joao
Año del Documento: 2015
Editorial: Springer Verlag
Documento Fuente: Lecture Notes in Computer Science, Vol. 9117, pp. 595-602, 2015.
Resumen: Ubiquitous 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.
Materias (normalizadas): Ubiquitous monitoring
smartphone
photopletysmography
shape model
probabilistic template
level-set
Idioma: spa
URI: http://uvadoc.uva.es/handle/10324/15159
Derechos: info:eu-repo/semantics/openAccess
Aparece en las colecciones:DEP71 - Capítulos de monografías

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