Design and development of a wearable system for the analysis of respiratory patterns for health monitoring in seniors
Abstract
Wearable technology for non-invasive breathing monitoring has shown positive results in clinical tests for the early detection of more severe diseases. Due to the above, this project proposes to predict respiratory diseases by applying Artificial Intelligence techniques to the data obtained from the respiratory rate to identify risks to people's health through a non-invasive wearable device. User-centered methods are being used to design a prototype informed by the needs and characteristics of the users.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
AMexIHC make every effort to ensure the accuracy and rigour of all the information (the "Content") contained in out publications. However, AMexIHC and our representatives make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by AMexIHC. The accuracy of the Content should not be relied upon and should be independently verified with primary sources of information.
