Status
Conditions
Treatments
Study type
Funder types
Identifiers
About
This work will focus on new algorithms for robotic ankle exoskeletons and testing these in human subject tests. Individuals who have previously had a stroke will walk while wearing a robotic exoskeleton on a specialized treadmill as well as during other movement tasks (e.g., overground, stairs, ramps). The study will compare the performance of the advanced algorithm with not using the device to determine the clinical benefit.
Full description
The focus of this work is on a proposed novel artificial intelligence (AI) system that self-adapts control policy in powered exoskeletons to aid deployment systems that personalize to individual patient gait. Individuals post-stroke have a broad range of mobility challenges, including asymmetric gait, substantially decreased SSWS, and reduced stability, and therefore have greatly impaired overall mobility independence in the community. The investigators expect the proposed novel controller, capable of personalization to such variable and asymmetric gait patterns, will have significant benefits towards increasing community independence and mobility for patients post stroke. Stroke survivor participants will be fitted with an ankle exoskeleton and proceed to walk on a treadmill or perform various movement tasks. The same tasks will be performed by the participants without wearing the ankle exoskeleton to serve as a baseline. The investigators expect improved outcomes in the powered ankle exoskeleton compared to baseline conditions.
Enrollment
Sex
Ages
Volunteers
Inclusion criteria
Exclusion criteria
Primary purpose
Allocation
Interventional model
Masking
15 participants in 1 patient group
Loading...
Central trial contact
Aaron Young, PhD; Kinsey Herrin, MSPO, C/LPO
Data sourced from clinicaltrials.gov
Clinical trials
Research sites
Resources
Legal