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Implementing Autonomous Control in the Digital-Twins-Based Internet of Robotic Things for Remote Patient Monitoring.

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Summary

This study introduces autonomous control for remote patient monitoring using Digital Twins (DTs) and the Internet of Robotic Things (IoRT). This system reduces healthcare worker stress and infection risk by enabling robots to autonomously collect patient data.

Keywords:
Internet of Robotic ThingsInternet of Thingsautonomous robotsdigital twinsremote patient monitoring

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Area of Science:

  • Robotics and Automation
  • Healthcare Technology
  • Internet of Things

Background:

  • Conventional patient monitoring is labor-intensive, causing stress and infection risks for medical staff.
  • Remote patient monitoring (RPM) offers a solution but often requires manual operation, leading to operator fatigue.
  • Digital Twins (DTs) integrated with the Internet of Robotic Things (IoRT) can facilitate RPM, but manual control presents challenges.

Purpose of the Study:

  • To implement autonomous control in a DTs-based IoRT system for remote patient monitoring.
  • To reduce cognitive load and enhance efficiency for healthcare professionals during patient data collection.
  • To enable remote monitoring of patients with chronic or contagious diseases.

Main Methods:

  • Development of a decision-making algorithm for autonomous navigation of a physical twin (PT) robot.
  • Integration of DTs and IoRT for creating a virtual twin (VT) to monitor the PT and collect sensor data.
  • Implementation of obstacle avoidance for autonomous PT navigation and data transmission within a virtual environment (VE).

Main Results:

  • The proposed autonomous control system successfully enabled the PT to navigate, collect data, and return to the base station.
  • Experimental results demonstrated the efficiency of the autonomous system compared to manual operation.
  • The system allows for both autonomous and manual control options, catering to operator preference.

Conclusions:

  • Autonomous control in DTs-based IoRT significantly improves remote patient monitoring efficiency and reduces operator burden.
  • The developed system offers a viable solution for monitoring patients with chronic or contagious diseases, minimizing infection risks.
  • This research advances the application of robotics and IoT in healthcare for more sustainable and less stressful medical practices.