Cloud Communication-Based Sensing Performance Evaluation of a Vascular Interventional Robot System

Abstract

As an essential method for diagnosing and treating cardiovascular and cerebrovascular diseases, interventional surgery has always been a research hotspot in biomedical engineering research. The vascular interventional robot can improve the surgical environment of the surgeon and improve the safety and stability of the operation when assisting the surgeon to complete the surgical operation. In today’s global pandemic phenomena, the study of operating vascular interventional robots in remote situations is of more significant value. Based on the previous animal experiments and clinical trials, this paper presents a preliminary study of the interventional robot to complete surgery operations under the condition of long-distance cloud communication. After analyzing the influence of time delay in remote operation, a control strategy for predicting time delay was proposed, and an evaluation experiment was conducted. Through the human model evaluation, the sensing performance of robotic surgery under the condition of long-distance cloud communication is analyzed and compared with the experiments in previous studies. The experimental results show that the operator can remotely control the robot to complete the intubation operation, which is valuable for further study and animal experiments.