This study systematically explores the assessment tools for balance function in elderly patients after total hip arthroplasty and their clinical applications, while also envisioning future trends toward multidimensional integration and intelligent development. By summarizing the commonly used subjective and objective assessment in clinical practice and analyzing the application of these methods in preoperative prehabilitation and postoperative rehabilitation monitoring for elderly total hip arthroplasty patients, this article proposes that future efforts should focus on promoting the integration of subjective and objective assessment, developing intelligent predictive models, and establishing closed-loop rehabilitation systems to enhance the precision and effectiveness of assessment and rehabilitation.
Intelligent assistive devices that integrate artificial intelligence, robotics and other technologies provide new opportunities to improve the efficiency and professionalism of home-based rehabilitation. This paper outlines the classification and technical principles of intelligent assistive devices, analyzes their application bottlenecks in home scenarios from three dimensions of technical reliability, user compliance and social support, and on this basis, proposes a comprehensive optimization path of improving environmental adaptability through technical iteration, building a precise adaptation service system relying on rehabilitation nurses, and improving the security network with the help of policy coordination, aiming to promote the intelligent and sustainable development of stroke home-based rehabilitation.