Projeto de monitoração de sinais vitais de um usuário de cadeira de rodas autônoma

Abstract

The present undergraduate thesis proposes the implementation of MAX30100 and MLX90614 sensors in an autonomous wheelchair, using the infrastructure of the Robot Operating System (ROS). The sensors were strategically attached to the armrest of the wheelchair to continuously monitor vital signs such as heart rate, oximetry, and body temperature, providing real-time health status monitoring for the user. 3D-printed supports were created for sensors positioning. The use of ROS is essential for data processing, where the data is sent to the server and processed within the ROS system. The conducted tests yielded satisfactory results, validating the accuracy and effectiveness of the sensors integrated into the autonomous wheelchair. This system proves significant in the study of robotic integration and health, particularly in terms of vitality monitoring for wheelchair users, contributing to their autonomy and safety