Analysis of Robotics and Human Measurement of Physiotherapy Using Machine Learning

摘要

The modern medical professions are currently implementing robotic technology to enhance patient outcomes and care quality. The robotic technology is utilized for physical therapy in the proposed system. There is no function that allows for exercising of every finger and wrist joint in the current physiotherapy robot devices. To address each finger and wrist joint that a physiotherapist may access, forward kinematics technology is applied in this system. The proposed system can provide all exercises concurrently, unlike most other robotic systems that only deliver finger and wrist exercises separately. Here, the proposed model forecast the patient's next exercises as well as the development of their recovery. This prediction model is created by using the FB Prophet algorithm. The physiotherapist can examine the angles of the patient's hand movements while managing the robot device while this gadget tracks the patient's hand workouts in real-time. Physiotherapists can check if patients are executing the exercises correctly with the aid of rehabilitation robots.