PPG Beat Reconstruction Based on Shape Models and Probabilistic Templates for Signals Acquired with Conventional Smartphones

Ubiquitous monitoring has become a useful tool for the prevention 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. However, 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 surrounding 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 qualified as promising, since the shape of damaged beats is recovered, however a more comprehensive validation must be addressed.