Key Laboratory of Convergence Biomedical Engineering System and Healthcare Technology, The Ministry of Industry and Information Technology, School of Automation, Beijing Institute of Technology, No.5, Zhongguancun South Street, Haidian District, Beijing, 100081, China.
Faculty of Engineering, Kagawa University, 2217-20 Hayashi-cho, Takamatsu, Kagawa, 760-8521, Japan.
Med Biol Eng Comput. 2019 Sep;57(9):1999-2010. doi: 10.1007/s11517-019-02016-8. Epub 2019 Jul 25.
Interventional surgery is widely used in the treatment of cardiovascular and cerebrovascular diseases, and the development of surgical robots can greatly reduce the fatigue and radiation risks brought to surgeons during surgery. In this paper, we present a novel interventional surgical robot which allows surgeons to fully use their operating skills during remote control. Fuzzy control theory is used to guarantee control precision during the master-slave operation. The safety force feedback control is designed based on the catheter and guidewire spring model, and the force-position control is designed to decrease the potential damage due to the control delay. This study first evaluates the force-position control strategy using a vascular model experiment, and then an in vivo experiment is used to evaluate the precision of the surgical robot controlling the catheter and guidewire to the designated position. The in vivo experiment results and surgeon's feedback demonstrate that the proposed surgical robot is able to perform complex remote surgery in clinical application. Graphical abstract Surgeons perform remote interventional animal surgery using interventional surgical robots.
介入手术被广泛应用于心血管和脑血管疾病的治疗中,手术机器人的发展可以大大降低外科医生在手术过程中的疲劳和辐射风险。本文提出了一种新型的介入手术机器人,使外科医生能够在远程控制过程中充分发挥其手术技能。模糊控制理论用于保证主从操作过程中的控制精度。基于导管和导丝的弹簧模型设计了安全力反馈控制,设计了力-位置控制策略,以减少由于控制延迟而导致的潜在损伤。本研究首先使用血管模型实验评估了力-位置控制策略,然后进行体内实验评估了手术机器人控制导管和导丝到达指定位置的精度。体内实验结果和外科医生的反馈表明,所提出的手术机器人能够在临床应用中执行复杂的远程手术。