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Measuring Torque Production with a Robotic Exoskeleton during Cervical Transcutaneous Spinal Stimulation
IEEE ... International Conference on Rehabilitation Robotics : [Proceedings]
|September 30, 2022
Summary
This study explores using robotic sensors to measure the effects of transcutaneous spinal stimulation (TSS) for spinal cord injury (SCI) rehabilitation. Robotic measurements can help tailor TSS and robotic therapy for improved upper limb movement in patients.
Area of Science:
- Neuroscience
- Robotics
- Rehabilitation Medicine
Background:
- Spinal cord injury (SCI) impacts many individuals, limiting traditional neurorehabilitation options for those with severe motor deficits.
- Current therapies exclude patients with limited motor function, necessitating innovative approaches for broader participation.
- Combining transcutaneous spinal stimulation (TSS) with robotics offers a potential solution to enhance upper limb movement during SCI rehabilitation.
Purpose of the Study:
- To quantify the individual contributions of TSS and robotics in eliciting upper limb movements post-SCI.
- To explore the use of robotic sensors as an alternative to electromyography for assessing TSS responses.
- To investigate the feasibility of using robot-derived data to guide combined TSS and robotic interventions.
Main Methods:
- Utilized an exoskeleton robot to assess upper limb movements.
- Measured the holding torque required by the robot to maintain a neutral arm position.
- Investigated the impact of electrode placement during transcutaneous spinal stimulation (TSS).
Main Results:
- Demonstrated that cutaneous TSS effects can be detected by measuring the exoskeleton's holding torque.
- Showed that stimulation electrode location influences the resultant upper limb actions.
- Established a novel method for assessing TSS efficacy using robotic sensor data.
Conclusions:
- Robotic sensors provide a viable method for assessing the impact of TSS on upper limb movement in SCI.
- The findings support the integration of robotic measurements into combined TSS and robotic rehabilitation strategies.
- Future applications include using robot-guided feedback to optimize TSS and robotic therapy for SCI patients.

