关键词:

脑卒中, 手功能障碍, 康复评估, 进展

Abstract:

Stroke is a common disease caused by cerebrovascular disorders. Its high-risk factors include hypertension, diabetes mellitus, aging, etc. Post-stroke hand dysfunction, one of the common sequelae, manifests as reduced muscle strength, impaired coordination, and loss of fine motor skills, and directly affects patients' daily living activities (e.g., grasping, eating, dressing, and so on), occupational development, and learning abilities, while potentially triggering psychological issues such as depression and anxiety. Consequently, disease assessment is critical in its subsequent treatment. In recent years, artificial intelligence technologies have provided new pathways for dynamic monitoring and evaluation alongside traditional methods. This article reviews and analyzes clinically used assessment approaches and emerging technologies for evaluating post-stroke hand dysfunction.

Key words:

Stroke, Hand dysfunction, Rehabilitation assessment, Progress