Cardiovascular Monitoring Platform Based on the Internet of Things

Abstract

Introduction: The research area focused on health has led to the development of platforms for cardiovascular monitoring systems, taking into account the implementation of the Internet of Things as the central axis of technological innovation in medical environments. In turn, machine learning and machine language (ML) techniques have demonstrated their importance in the field of data analysis, efficiently extracting information for effective decision-making in the field of precision medicine.

Objective: This article aims to present results of the design, testing and evaluation of a prototype monitoring system for cardiovascular variables, where they can be saved and displayed in real time in the cloud.

Methodology: For the development of this, non-invasive body sensors and low-cost embedded systems were used, which allow them to be implemented in medical environments.

Results: The feasibility of implementing novel technologies focused on the Internet of Things (IOT) is demonstrated to a large extent, generating low-cost solutions and energy consumption to generate an acquisition, monitoring and alert system in medical environments.

Conclusions: The prototype allows health professionals not to have constant contact with patients who have this device installed in their body, but to obtain medical samples at any time under the implementation of this  tool.