ExoNav II: Design of a Robotic Tool with Follow-the-Leader Motion Capability for Lateral and Ventral Spinal Cord Stimulation (SCS)

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[Formula: see text]mm deviation and an RMSE of 14.42[Formula: see text]mm for 63.6[Formula: see text]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[Formula: see text]mm deviation and an RMSE of 8.04[Formula: see text]mm. Follow-the-leader experiments showed deviations of 11.24[Formula: see text]mm and 7.32[Formula: see text]mm, with RMSE values of 8.67[Formula: see text]mm and 5.18[Formula: see text]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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Publication Details

Journal
Journal of Medical Robotics Research
Published
2025-06-02
DOI
https://doi.org/10.1142/s2424905x25500035
Primary Topic
Pain Management and Treatment
Type
article
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article

ExoNav II: Design of a Robotic Tool with Follow-the-Leader Motion Capability for Lateral and Ventral Spinal Cord Stimulation (SCS)

Yash Chitalia, Ajmal Zemmar, Behnam Moradkhani, Pejman Kheradmand et al.
Journal of Medical Robotics Research
Pain Management and Treatment
article

ExoNav II: Design of a Robotic Tool with Follow-the-Leader Motion Capability for Lateral and Ventral Spinal Cord Stimulation (SCS)

Yash Chitalia, Ajmal Zemmar, Behnam Moradkhani, Pejman Kheradmand, Harshith Jella, Joseph Klein
article en

Abstract

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[Formula: see text]mm deviation and an RMSE of 14.42[Formula: see text]mm for 63.6[Formula: see text]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[Formula: see text]mm deviation and an RMSE of 8.04[Formula: see text]mm. Follow-the-leader experiments showed deviations of 11.24[Formula: see text]mm and 7.32[Formula: see text]mm, with RMSE values of 8.67[Formula: see text]mm and 5.18[Formula: see text]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.

Journal of Medical Robotics ResearchVol. 10(03n04)
University of Louisville (US), Neurological Surgery (US)
Openalex Percentile: Top 78%
Pain Management and Treatment
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