A New Home-Based Upper- and Lower-Limb Telerehabilitation Platform with Experimental Validation

Area of Science:

• Medicine
• Computer Science
• Rehabilitation Engineering

Background:

• The COVID-19 pandemic and geographical challenges necessitate remote healthcare solutions like telerehabilitation.
• Motion rehabilitation is crucial for patients recovering from surgery (e.g., anterior cruciate ligament) or conditions like frozen shoulder.
• Traditional rehabilitation requires in-person attendance, which can be difficult for elderly patients or those in remote areas.

Purpose of the Study:

• To develop an AI-driven telerehabilitation website for remote patient monitoring and treatment facilitation.
• To enable real-time tracking of patients' range of motion (ROM) during rehabilitation exercises.
• To improve accessibility and effectiveness of physical therapy for a wider patient population.

Main Methods:

• Development of a telerehabilitation website integrating artificial intelligence (AI) techniques.
• Utilizing AI to monitor and control limb joint angles for real-time range of motion (ROM) assessment.
• Implementing patient tracking for progress evaluation in remote physical therapy.

Main Results:

• The project aims to provide a functional platform for remote rehabilitation sessions.
• AI integration allows for precise, real-time measurement of patient's range of motion (ROM).
• The system is designed to facilitate continuous patient engagement and progress monitoring.

Conclusions:

• Telerehabilitation, enhanced by AI, offers a promising solution for accessible and effective physical therapy.
• The developed website can overcome geographical barriers and improve patient adherence to rehabilitation programs.
• Real-time ROM tracking via AI is key to optimizing patient recovery and treatment outcomes in telerehabilitation.