Tendon-sheath analysis for modeling and control of steerable ablation catheters
Mahta Khoshnam, Rajni V. Patel
- Year
- 2016
- Citations
- 12
Abstract
Steerable catheters are key tools in performing cardiac ablation for treating arrhythmia (heart rhythm disorder). The catheter is steered through the vasculature from the insertion point in the groin area to the atrium. Effective contact between the distal ablation tip and cardiac tissue is established by rotating the catheter and adjusting the flexion in the catheter's distal shaft. The manipulation system of unidirectional steerable catheters uses a pull-wire mechanism that connects the proximal handle to the distal ablation tip. The mechanical design of this tendon-based transmission system satisfies constraints on the size and diameter of an ablation catheter, but shows nonlinear effects that introduce difficulties in manipulating the flexible distal tip. In order to control such flexion, in this paper, the steerable catheter is considered as a tendon-sheath-driven mechanism. Since it is not possible to affix a force sensor to measure tendon tension at the distal tip, transmission characteristics are obtained using force measurements at the proximal side and visual cues from the distal end. The tendon transmission model is then used to design a control system that compensates for the nonlinear effects of the actuation mechanism and generates the desired flexion at the distal tip. Performance of the proposed controller is evaluated through simulation studies and implementation on an experimental setup. The results show that the proposed control method significantly improves the performance of the system in attaining and tracking the desired tip angle. The results presented in this study contribute towards developing position control schemes for robotics-assisted catheter manipulation systems.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002