Research on real-time detection system of catheter delivering force in vascular interventional robots.
10.7507/1001-5515.202109080
- Author:
Hui LI
1
;
Hao ZHOU
1
;
Yan ZHAO
1
;
Jianhua ZHANG
1
;
Tianjing ZHANG
1
Author Information
1. The School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, P. R. China.
- Publication Type:Journal Article
- Keywords:
Catheter operation force detection;
Force feedback;
Interventional robot;
Vascular intervention
- MeSH:
Catheters;
Equipment Design;
Humans;
Mechanical Phenomena;
Robotic Surgical Procedures/methods*;
Robotics
- From:
Journal of Biomedical Engineering
2022;39(2):359-369
- CountryChina
- Language:Chinese
-
Abstract:
In existing vascular interventional surgical robots, it is difficult to accurately detect the delivery force of the catheter/guidewire at the slave side. Aiming to solve this problem, a real-time force detection system was designed for vascular interventional surgical (VIS) robots based on catheter push force. Firstly, the transfer process of catheter operating forces in the slave end of the interventional robot was analyzed and modeled, and the design principle of the catheter operating force detection system was obtained. Secondly, based on the principle of stress and strain, a torque sensor was designed and integrated into the internal transmission shaft of the slave end of the interventional robot, and a data acquisition and processing system was established. Thirdly, an ATI high-precision torque sensor was used to build the experimental platform, and the designed sensor was tested and calibrated. Finally, sensor test experiments under ideal static/dynamic conditions and simulated catheter delivery tests based on actual human computed tomography (CT) data and vascular model were carried out. The results showed that the average relative detection error of the designed sensor system was 1.26% under ideal static conditions and 1.38% under ideal dynamic stability conditions. The system can detect on-line catheter operation force at high precision, which is of great significance towards improving patient safety in interventional robotic surgery.
