Autonomous Robot for Removing Superficial Traumatic Blood

IEEE J Transl Eng Health Med. 2021 Feb 2:9:2600109. doi: 10.1109/JTEHM.2021.3056618. eCollection 2021.

Abstract

Objective: To remove blood from an incision and find the incision spot is a key task during surgery, or else over discharge of blood will endanger a patient's life. However, the repetitive manual blood removal involves plenty of workload contributing fatigue of surgeons. Thus, it is valuable to design a robotic system which can automatically remove blood on the incision surface. Methods: In this paper, we design a robotic system to fulfill the surgical task of the blood removal. The system consists of a pair of dual cameras, a 6-DoF robotic arm, an aspirator whose handle is fixed to a robotic arm, and a pump connected to the aspirator. Further, a path-planning algorithm is designed to generate a path, which the aspirator tip should follow to remove blood. Results: In a group of simulating bleeding experiments on ex vivo porcine tissue, the contour of the blood region is detected, and the reconstructed spatial coordinates of the detected blood contour is obtained afterward. The BRR robot cleans thoroughly the blood running out the incision. Conclusions: This study contributes the first result on designing an autonomous blood removal medical robot. The skill of the surgical blood removal operation, which is manually operated by surgeons nowadays, is alternatively grasped by the proposed BRR medical robot.

Keywords: Blood removal; contour detection; medical robot; task autonomy.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Animals
  • Humans
  • Robotic Surgical Procedures*
  • Robotics*
  • Surgeons*
  • Swine

Grants and funding

This work was supported in part by the National Natural Science Foundation of China under Grant 91748103 and Grant 61573208, in part by the Beijing Natural Science Foundation under Grant Z170001, and in part by the China Postdoctoral Science Foundation under Grant 2014M560985 and Grant 2015T80078.