Abstract
Purpose
Robotic endovascular intervention system (REIS) has the advantages of telemanipulation without radiation damage, precise location, and isolation of hand quiver. However, current REIS lacks a force feedback, which leads to high clinical risks. For the high operational safety of remote operations, this research proposes a force feedback control method for a novel manipulator with multi-grippers and develops a prototype to verify its expected telepresence.
Methods
A high-resolution force sensor is used to acquire and transmit the intervention resistance force to the control handle. When the handle is translated or rotated, a loading mechanism composed of a servomotor, a screw pair, a spring, and friction roller generates the resistance force transmitted to the doctor’s hand through the handle. A force/displacement hybrid control and PID control algorithm are used for the smaller feedback force error and lower delay.
Results
This manipulator and its control handle are tested in the simulated catheter and vascular cases. The experiments show that force feedback precision can reach 0.05 N and the delay is not more than 50 ms, and the bandwidth is 9 Hz@-3 dB.
Conclusion
The proposed force feedback method can recreate resistance force from the intervention devices. The control model is valid with higher precision and wide bands, which has laid foundations to the application of REIS in clinic.
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References
Antoniou G, Riga CV, Mayer EK, Cheshire NW, Bicknell CD (2011) Clinical applications of robotic technology in vascular and endovascular surgery. J Vasc Surg 52:493–499
Rafii-Tari H, Payne CJ, Yang GZ (2013) Current and emerging robot-assisted endovascular catheterization technologies: a review. Ann Biomed Eng 42:697–715
Armacost MP, Adair J, Munger T (2007) Accurate and reproducible target navigation with the stereotaxis Niobe magnetic navigation system. Cardiovasc Electrophysiol 18:26–31
Paolo D, Eugenio G (1996) Robotics for medical applications. IEEE Robot Autom Mag 3:44–56
Granada JF, Delgado JA, Uribe MP, Fernandez A, Blanco G, Leon MB (2011) First-in-human evaluation of a novel robotic-assisted coronary angioplasty system. JACC Cardiovasc Interv 4:460–465
Yogesh T, Jeffrey SB, Holdsworth WD, Drangova M (2009) Design and performance evaluation of a remote catheter navigation system. IEEE Trans Biomed Eng 56:1901–1908
Thakur Y, Holdsworth WD, Drangova M (2009) Characterization of catheter dynamics during percutaneous transluminal catheter procedures. IEEE Trans Biomed Eng 56:2140–2143
Park JW, Choi J, Park HN, Song SJ, Lee JC, Park Y, Shin SM, Sun K (2010) Development of a force-reflecting robotic platform for cardiac catheter navigation. Artif Organs 34:1034–1039
Lu WS, Xu W, Pan F, Liu D, Tian ZM, Zeng Y (2016) Clinical application of a vascular interventional robot in cerebral angiography. Int J Med Robot Comput Assist Surg 12:132–136
Peirs J, Clijnena J, Reynaertsa D, Brussel HV, Herijgers P, Corteville B, Boone S (2004) A micro optical force sensor for force feedback during minimally invasive robotic surgery. Sens Actuators A Phys 115:447–455
Guo J, Guo SX, Yu Y (2016) Design and characteristics evaluation of a novel teleoperated robotic catheterization system with force feedback for vascular interventional surgery. Biomed Microdevices 18:76–92
Guo J, Guo SX, Wang P, Wei W, Wang Y (2013) A novel type of catheter sidewall tactile sensor array for vascular interventional surgery. In: 2013 ICME international conference on complex medical engineering. pp 264–267
Hu Z, Yoon CH, Park SB, Jo YH (2016) Design of a haptic device with grasp and push–pull force feedback for a master–slave surgical robot. Int J CARS 11:1361–1369
Yoneyama T, Watanabe T, Kagawa H, Hamada J, Hayashi Y, Nakada M (2013) Force-detecting gripper and force feedback system for neurosurgery applications. Int J CARS 8:819–829
Srimathveeravalli G, Kesavadas T, Li X (2010) Design and fabrication of a robotic mechanism for remote steering and positioning of interventional devices. Int J Med Robot Comput Assist Surg 6:160–170
Payne CJ, Ra-Tari H, Yang GZ (2012) A force feedback system for endovascular catheterization. In: 2012 IEEE/RSJ international conference on intelligent robotics and systems. pp 1298–1304
Kesner SB, Howe RD (2011) Position control of motion compensation cardiac catheters. IEEE Trans Robot 27:1045–1055
Kesner SB, Howe RD (2011) Force control of flexible catheter robots for beating heart surgery. In: Proceedings of the 2011 IEEE international conference on robotics and automation. IEEE, Shanghai, China, pp 1589–1594
Razban M, Dargahi J, Boulet B (2018) A sensor-less catheter contact force estimation approach in endovascular intervention procedures. In: 2018 IEEE/RSJ international conference on intelligent robotics and systems. pp 2100–2106
Zhang L, Guo SX, Yu H, Song Y, Song D (2018) Rotary encoder-based position transmission and feedback of a novel robotic catheter system for endovascular catheterization. In: 2018 IEEE international conference on information and automation. pp 32–36
Dagnino G, Liu J, Abdelaziz ME, Chi W, Riga C, Yang GZ (2018) Haptic feedback and dynamic active constraints for robot assisted endovascular catheterization. In: 2018 IEEE/RSJ international conference on intelligent robotics and systems. pp 1770–1775
Patel TM, Shah SC, Pancholy SB (2019) Long distance tele-robotic assisted percutaneous coronary intervention: a report of first-in-human experience. E Clin Med 14:53–58
Molinero MB, Dagnino G, Liu J, Chi W (2019) Haptic guidance for robot-assisted endovascular procedures: implementation and evaluation on surgical simulator. In: 2019 international conference on intelligent robotics and systems. pp 5398–5403
Shigeru M, Yoshitaka N, Takahide H (2019) Support robot with sensory-motor feedback system for neuro-endovascular novel operation intervention. World Neurosurg 127:e617–e623
Robocath (2020) Robocath successfully completes first robotic coronary angioplasties in Germany with R-One™. https://www.robocath.com/product/. Accessed 21 Jan 2020
Liu L, Cao L, Liu D, Wang D, Cao XD (2014) Achieving for force feedback in master–slave vascular intervention systems. High Technol Lett 24:545–550
He CD, Sen W, Zhang HF (2000) Study on reaction time and movement time of fingers. Ergonomics 6:1–5
Acknowledgements
The authors appreciate the help of the Shanghai Engineering Research Center for leading the intelligent diagnosis and treatment instrument (Grant Number 15DZ2252000). This work was partially supported by the Shanghai Science and Technology Pillar Program (Grant Number 18441900500).
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Wang, K., Liu, J., Yan, W. et al. Force feedback controls of multi-gripper robotic endovascular intervention: design, prototype, and experiments. Int J CARS 16, 179–192 (2021). https://doi.org/10.1007/s11548-020-02278-w
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DOI: https://doi.org/10.1007/s11548-020-02278-w