Cadaverous Heart Model for Surgical Training

The patent applies segmentation by using only specific portions of cadavers (such as heart, lungs, or extremities) rather than whole cadavers for training models. This allows the training realism to be maintained through anatomical accuracy while significantly reducing cost and storage requirements compared to maintaining entire cadaveric specimens.

The invention extracts and utilizes specific cadaveric tissues and organs for creating training models, separating the useful functional components from the unnecessary portions. This extraction approach enables the creation of portable, cost-effective training models that maintain medical accuracy without requiring expensive whole cadaver preservation.

The patent incorporates dynamic elements into the training models by integrating mobile platforms (such as gurneys or carts) that allow the cadaveric specimens to be moved between different training locations. This enables the models to adapt to various training scenarios including operating rooms, emergency departments, and simulation centers while preserving anatomical accuracy.

The training models are designed with universal applicability across multiple training scenarios and environments. The portable design allows the same anatomical model to serve different training purposes in different settings, enhancing versatility while maintaining the anatomical precision provided by cadaveric tissue.

The patent formulates simulation blood with carefully controlled parameters including viscosity, density, and coagulation properties that closely match human blood. By adjusting these parameters, the simulation blood can accurately replicate natural clotting processes and responses to pharmaceutical agents while maintaining safety and controllability for training purposes.

The invention creates a copy of real blood properties through simulation blood that replicates key characteristics such as clotting behavior, viscosity, and response to medications. This copying approach allows safe and controllable training while maintaining sufficient accuracy to simulate real physiological responses.