BACKGROUND
Stroke remains a leading global health concern due to its high rates of incidence, recurrence, disability, mortality, and significant economic impact. Traditional methods for assessing motor function in stroke patients are often subjective and not sufficiently sensitive to subtle changes.
OBJECTIVE
To present the architectural, modular, and functional designs and theoretical underpinnings of a novel Intelligent Motor Function Assessment System (IMFAS) and inspire further research, development, and clinical adoptions by showcasing its design and potential applications.
METHODS
We developed the IMFAS through a comprehensive design process including a literature review, consultations with rehabilitation professionals, feedback from stroke patients, workflow analysis in clinical settings, and multidisciplinary input. The system incorporated several advanced technologies, including sensors, computer vision, machine learning, and virtual reality, to gather and analyze data.
RESULTS
The IMFAS architecture supports continuous, real-time assessment and monitoring of motor functions, facilitating the development of dynamic and personalized rehabilitation plans. It enables remote rehabilitation assessments, allowing patients to perform exercises under virtual supervision. It shows potential for enhancing the objectivity and accuracy of assessments compared to traditional methods, streamline clinical workflows, and support proactive management of rehabilitation plans.
CONCLUSIONS
As an innovative advancement in post-stroke rehabilitation, the IMFAS addresses critical limitations of traditional assessment methods by providing comprehensive, accurate, and quantifiable assessments. By leveraging multi-data fusion and AI technologies, the system enhances the personalization and effectiveness of post-stroke rehabilitation strategies and demonstrates potential for broader adoption in clinical settings. Further research and development are necessary to optimize the current functions, evaluate its clinical performance, and expand its its integration into routine clinical practice.