开发可沿脊髓前侧弯曲的机器人,精准定位神经刺激电极。
ExoNav II: Design of a Robotic Tool with Follow-the-Leader Motion Capability for Lateral and Ventral Spinal Cord Stimulation (SCS)
- 设计螺旋形连续体机器人,实现跟随引导运动
- 位置法误差仅8.04 mm,优于基于拉绳行程的方法
- 在模拟脊柱模型上验证了重复性与可行性
传统脊髓刺激(SCS)电极置于脊髓背侧以缓解疼痛,但近年研究发现前侧和侧向运动纤维更利于恢复行走功能。现有电极依赖人工操控,难以到达目标区域。本文提出一种螺旋微加工的连续体机器人,通过刚性外管及平移、旋转自由度,实现跟随引导(FTL)运动。建立了运动学模型,将拉绳行程与机器人几何参数关联至轨迹和末端位姿。实验表明,基于位置的建模方法偏差为10.54 mm,RMSE达8.04 mm;而基于行程的方法偏差为19.84 mm,RMSE为14.42 mm。FTL测试中,两种方法的偏差分别为11.24 mm和7.32 mm,RMSE分别为8.67 mm和5.18 mm。两次试验的末端轨迹重复性良好。最终在3D打印脊柱模型上完成了操作演示。
原文摘要 · Abstract (English)
Spinal cord stimulation (SCS) electrodes are traditionally placed in the dorsal epidural space to stimulate the dorsal column fibers for pain therapy. Recently, SCS has gained attention in restoring gait. However, the motor fibers triggering locomotion are located in the ventral and lateral spinal cord. Currently, SCS electrodes are steered manually, making it difficult to navigate them to the lateral and ventral motor fibers in the spinal cord. In this work, we propose a helically micro-machined continuum robot that can bend in a helical shape when subjected to actuation tendon forces. Using a stiff outer tube and adding translational and rotational degrees of freedom, this helical continuum robot can perform follow-the-leader (FTL) motion. We propose a kinematic model to relate tendon stroke and geometric parameters of the robot's helical shape to its acquired trajectory and end-effector position. We evaluate the proposed kinematic model and the robot's FTL motion capability experimentally. The stroke-based method, which links tendon stroke values to the robot's shape, showed inaccuracies with a 19.84 mm deviation and an RMSE of 14.42 mm for 63.6 mm of robot's length bending. The position-based method, using kinematic equations to map joint space to task space, performed better with a 10.54 mm deviation and an RMSE of 8.04 mm. Follow-the-leader experiments showed deviations of 11.24 mm and 7.32 mm, with RMSE values of 8.67 mm and 5.18 mm for the stroke-based and position-based methods, respectively. Furthermore, end-effector trajectories in two FTL motion trials are compared to confirm the robot's repeatable behavior. Finally, we demonstrate the robot's operation on a 3D-printed spinal cord phantom model.
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