PRISM-X ->3D PRINTED PERSONALIZED REHAB INTELLIGENT SMART MOTION EXOSKELETON

Abstract: Modern rehabilitation systems often struggle to provide individualized therapy that adapts to the unique recovery patterns of patients with motor impairments. To address this limitation, this paper presents PRISM-X, a smart rehabilitation exoskeleton designed using a combination of artificial intelligence, biosignal acquisition, and additive manufacturing. The system captures real-time physiological signals such as electromyography (EMG), motion data, and applied force, enabling accurate interpretation of user intent.
Unlike conventional rehabilitation devices, the proposed system dynamically adjusts its level of assistance based on continuous learning from patient-specific data. The use of 3D printing enables the development of a lightweight and customizable structure tailored to individual anatomical requirements. A closed-loop feedback mechanism ensures precise motion assistance while maintaining safety and comfort. The integration of intelligent control algorithms with wearable robotics enhances therapy effectiveness, reduces reliance on manual supervision, and supports remote monitoring capabilities. The proposed approach demonstrates improved adaptability, user engagement, and rehabilitation efficiency, making it a promising solution for next-generation assistive healthcare technologies.

Keywords: Exoskeleton, Rehabilitation Engineering, Electromyography (EMG), Artificial Intelligence, Wearable Robotics, 3D Printing, Human–Machine Interaction, Assistive Technology.