An artificial intelligence-based sitting-to-standing exchange auxiliary evaluation device and method for hemiplegic patients
By using an AI-based auxiliary assessment device, combined with mechanical assistance and real-time feedback, the problems of rigid movement patterns and insufficient intelligence in the sitting-standing switching training of hemiplegic patients have been solved, achieving efficient and personalized rehabilitation training results.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- NANJING COLLEGE OF CHEM TECH
- Filing Date
- 2026-05-29
- Publication Date
- 2026-07-17
AI Technical Summary
Current sit-to-stand reversal training for hemiplegic patients suffers from problems such as ingrained incorrect movement patterns, insufficient therapist resources, lack of quantitative assessment, and low intelligence of existing assistive devices, resulting in poor rehabilitation outcomes.
The device employs an AI-based auxiliary assessment system, combining a mechanical auxiliary execution module and an AI perception and data acquisition module, to identify the patient's movement status in real time and provide voice/visual feedback, enabling personalized adjustments to the training program.
It enables real-time correction of patients' movement patterns, provides multi-dimensional quantitative assessment, improves the objectivity and personalization of training effects, and enhances patient participation and compliance.
Smart Images
Figure CN122398596A_ABST