A visual respiratory training system
By constructing a dynamic lung deformation tensor field through real-time acquisition of chest and abdominal wall motion displacement data, and driving an individualized lung finite element model, the problem of existing breathing training equipment being unable to accurately reflect the three-dimensional deformation of the lungs is solved, achieving individualized and intuitive breathing training effects.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- THE UNIVERSITY-TOWN HOSPITAL AFFILIATED TO CHONGQING MEDICAL UNIVERSITY
- Filing Date
- 2026-06-07
- Publication Date
- 2026-07-17
AI Technical Summary
Existing breathing training equipment cannot accurately reflect the non-uniform deformation differences of the lungs in three-dimensional space, and the individualized anatomical structure has a low degree of matching with the user's lung morphology, resulting in insufficient training credibility and unintuitive visual feedback.
Real-time chest and abdominal wall motion displacement data are collected using a respiratory volumetric plethysmography device. A dynamic lung deformation tensor field is constructed using an edge computing gateway to drive a personalized lung finite element model for real-time deformation calculation. Combined with an augmented reality display terminal, a virtual lung 3D animation is rendered to provide highly realistic visual feedback.
It achieves accurate expression and individualized synchronization of three-dimensional lung deformation, enhances the scientific nature and immersiveness of breathing training, and improves the training effect for users.
Smart Images
Figure CN122415896A_ABST