基于虚拟现实的急诊抢救沉浸式可视化通讯系统
By integrating data from three-dimensional geometric models and tissue metabolic states using virtual reality technology, and generating predictive indication signals using a spatiotemporally coupled perfusion-metabolic kinetic model, the problem of lagging risk assessment in emergency rescue in existing telemedicine systems is solved, enabling accurate prediction and dynamic early warning for emergency patients.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- GUANGZHOU CHAOZHONG COMPUTER CO LTD
- Filing Date
- 2025-11-17
- Publication Date
- 2026-07-17
AI Technical Summary
Existing telemedicine systems cannot effectively integrate physical injury processes with physiological failure trajectories when dealing with complex emergency rescue scenarios, resulting in delayed risk assessment, difficulty in providing decision-making-valuable early warnings, and limitations on in-depth insight into the nature of the disease.
An immersive visualization and communication system for emergency resuscitation based on virtual reality is adopted. Through a geometric model acquisition module, a tissue state acquisition module, and a risk prediction and processing module, the system can acquire the three-dimensional geometric model and tissue metabolic state of the patient's local area in real time. The system also uses a spatiotemporal coupled perfusion-metabolic kinetic model to fuse the data and generate predictive indication signals. Combined with an augmented reality rendering module, dynamic early warning information is superimposed on the three-dimensional model.
It enables accurate prediction of future metabolic failure risks, provides hierarchical, state-adaptive augmented reality early warning, helps remote experts identify critical events in advance, and improves decision-making efficiency and accuracy.
Smart Images
Figure CN121506548B_ABST