Innovative Design and Interactive Research of Intelligent Spinal Cord Rehabilitation Equipment Based on Ergonomics

Aiming at the common problems of insufficient individual adaptability, limited operation accuracy and poor human-computer interaction experience in current spinal rehabilitation equipment, this study proposes an innovative spinal rehabilitation equipment design and interaction optimization scheme based on ergonomic principles and intelligent technology. First, a real-time monitoring system for spinal motion state is constructed; secondly, an adaptive fuzzy control algorithm is proposed to ensure accurate adaptation to different body shapes and disease characteristics; finally, an augmented reality (AR) interactive interface and voice feedback system are introduced to reduce the complexity of operation and improve user participation. The experimental results show that the average error of the device force positioning is 6.17mm, the average individual response time is 319.0ms, the motion trajectory overlap rate reaches 91.8%, and the sensor signal drift is controlled within ±3% within 60 minutes of continuous operation. The study verifies the feasibility of the device in precise intervention, intelligent interaction and long-term stability, and provides a new path for the engineering application of intelligent rehabilitation equipment.