Abstract

This study seeks to continuously monitor key physiological parameters in progression and development in people infected with the COVID-19 virus. This will be developed through a wearable system where physiological and some hemodynamic data will be obtained. Based on this data collection, Markov chains will be applied in order to establish the probability of change in the progression of the disease. That is, the probability of complications from this condition or improvement of the infected patient. For the development of this study, a data collection system based mainly on MEMS-type sensors will be used, as well as the use of stochastic simulations to verify the development of Markov chains. It is important to mention that this is a study in development that seeks the rapid application for the monitoring of patients with this condition.