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Authors
Abstract(s)
Cardiovascular diseases have been the cause of death for millions of people. Some of these
deaths could be avoided if there was a signi cant increase of diagnosis for the detection
of such diseases. This diagnosis, in turn, could be realized with the increased availability
of robust and low-cost medical diagnostic devices.
Integrated technology sensors available on wearable devices have been commonly used
to read physiological data in users (patients). Particularly the pulse oximetry sensors,
o ers a unique, non-invasive method that can be used to detect the severity of such
diseases.
This evaluation of the physical condition of the patient for certain diseases is possible
due to non-invasive measurement through photoplethysmography, which allows the extraction
of heart rate and oxygen saturation in the blood. Since some diseases diagnoses
require simultaneous monitoring of blood oxygen saturation values at various sites in the
body, a project has been developed to perform such reading of physiological data.
This thesis presents the development of a systems platform based on the use of multiple
pulse oximetry sensors connected to an application developed for a mobile device though a
wireless connection. The purpose of this platform is to provide an easy-to-read experience
of health data that can be analyzed to diagnose cardiovascular disease symptoms, aiding
in an early diagnosis.
The complete structure as well as the aspects of the analysis and implementation of
the systems related to the proposed architecture are described in this dissertation.
Description
Keywords
Oxygen saturation Wearable sensors m-Health Cardiovascular diseases