Study on Force Feedback for Virtual Vascular Interventional Surgical System based on Multi-data Fusion

In the virtual vascular interventional surgery training system, the force feedback information received by the trainer’s hand is an important indicator that affects the user’s training effect. Due to the complex structure of the blood vessel, it is difficult to perform a mechanical analysis after the collision between the catheter guide wire and the blood vessel, so the force feedback accuracy in the existing training system is poor. Rigorous mechanical analysis is difficult to achieve in the entire virtual training system, so a multi-data weighted fusion algorithm is used in this paper.Firstly, each component force in the blood vessel is simulated, and then compared with each force in the actual environment. On the premise of minimum total mean square error, each component force is assigned an optimal weight. Finally, a feedback force is synthesized and fed back to the hand of the trainer.The effectiveness of the method is verified by comparing with the force feedback in the existing training system.