IoT Assisted Knee Kinematics Control for Supervised Rehabilitation of Paralyzed Patients

This research focuses on the development of an automated knee brace for the rehabilitation of patients with paralyzed legs. The proposed system aims to replace the need for constant physiotherapist assistance by providing personalized and automated exercise routines. The system utilizes a combination of actuators, sensors, and IoT technology to control knee movements with precise speed and angle. By automating the rehabilitation process, this system aims to improve patient outcomes, accelerate recovery, and enhance the overall quality of life for individuals with paralysis. The system incorporates an 10T-based monitoring system that provides real-time data on exercise progress and alerts users to any potential issues. This research contributes to the development of innovative rehabilitation technologies that can improve patient care and enhance the independence of individuals with disabilities.