Single limb cable driven wearable robotic device for upper extremity movement support after traumatic brain injury

Author:

Kadivar Zahra1,Beck Christopher E2,Rovekamp Roger N2,O’Malley Marcia K3ORCID

Affiliation:

1. Texas Institute for Rehabilitation and Research, Houston, TX, USA

2. NASA JSC Wearable Robotics Laboratory, Houston, TX, USA

3. Department of Mechanical Engineering, Rice University, Houston, TX, USA

Abstract

Introduction Recently, soft exosuits have been proposed for upper limb movement assistance, most supporting single joint movements. We describe the design of a portable wearable robotic device (WRD), “Armstrong,” able to support three degrees-of-freedom of arm movements, and report on its feasibility for movement support of individuals with hemiparesis after traumatic brain injury (TBI). Methods We introduce Armstrong and report on a pilot evaluation with two male individuals post-TBI (T1 and T2) and two healthy individuals. Testing involved elbow flexion/extension with and without robotic-assisted shoulder stabilization; shoulder abduction with and without robotic-assisted elbow stabilization; and assisted shoulder abduction and flexion. Outcome measures included range of motion and root mean square trajectory and velocity errors. Results TBI subjects performed active, passive, hybrid and active assistive movements with Armstrong. Subjects showed improvements in movement trajectory and velocity. T1 benefited from hybrid, active, and assistive modes due to upper extremity weakness and muscle tone. T2 benefited from hybrid and assistive modes due to impaired coordination. Healthy subjects performed isolated movements of shoulder and elbow with minimal trajectory and velocity errors. Conclusions This study demonstrates the safety and feasibility of Armstrong for upper extremity movement assistance for individuals with TBI, with therapist supervision.

Funder

Johnson Space Center

Defense Advanced Research Projects Agency

Publisher

SAGE Publications

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3. Multi Degree of Freedom Hybrid FES and Robotic Control of the Upper Limb;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024

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