This thesis presents the development of a cloud-connected web application designed to inter- face with a robotic arm aid intended for individuals with mobility impairments, such as those resulting from a stroke (ictus). The system enables real-time synchronization between the robotic arm and the web application, allowing continuous telemetry data to be transmitted to a secure cloud platform. This data can then be accessed and monitored by medical profes- sionals, providing them with valuable insights into the patient’s rehabilitation progress and device usage patterns. The solution integrates front-end usability for patients with robust backend support for healthcare providers, aiming to enhance remote care, promote user in- dependence, and improve clinical decision-making. The project leverages modern web tech- nologies and Internet of Things (IoT) principles to ensure seamless communication, data integrity, and system scalability.

Graphical Interface for upper limbs rehabilitation device

GREGGIO, DAVIDE
2024/2025

Abstract

This thesis presents the development of a cloud-connected web application designed to inter- face with a robotic arm aid intended for individuals with mobility impairments, such as those resulting from a stroke (ictus). The system enables real-time synchronization between the robotic arm and the web application, allowing continuous telemetry data to be transmitted to a secure cloud platform. This data can then be accessed and monitored by medical profes- sionals, providing them with valuable insights into the patient’s rehabilitation progress and device usage patterns. The solution integrates front-end usability for patients with robust backend support for healthcare providers, aiming to enhance remote care, promote user in- dependence, and improve clinical decision-making. The project leverages modern web tech- nologies and Internet of Things (IoT) principles to ensure seamless communication, data integrity, and system scalability.
2024
Graphical Interface for upper limbs rehabilitation device
Robotics
Rehabilitation
GUI
Mobile app
cloud app
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/93673