This Study Evaluates the Use of a Data-driven Lower Limb Exoskeleton Controller for Stroke Rehabilitation.
Key facts
- Where
- Ann Arbor, United StatesSee the site
Could this be for you?
Answer for yourself. This is not a decision: only the study team can say whether you can take part.
- Are you between 18 and 80 years old?
Where in United States
- Rehabilitation Laboratory in the Ford Robotics Building on the University of Michigan North CampusAnn Arbor, United StatesNo longer taking part
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- University of Michigan
- Trial code
- NCT07616167
- Record updated
- 1 June 2026
- Original description
The goal of this clinical trial is to test a new, impairment-aware robotic control software framework to see if its smart adaptation can improve walking recovery in healthy adults and chronic stroke survivors. .Read full original descriptionShow less
From Stroke Rehabilitation to Independence: An Impairment-Aware Control Framework for Adaptive Exoskeleton Assistance
The goal of this clinical trial is to test a new, impairment-aware robotic control software framework to see if its smart adaptation can improve walking recovery in healthy adults and chronic stroke survivors. .
The main questions it aims to answer are:
Can the new control software safely use sensors and machine learning to predict and instantly adapt to a user's specific walking needs?
Does training with a robotic device driven by this new adaptive control framework improve walking speed and overall mobility in stroke survivors?
Researchers will compare a lower-limb orthosis operating under the new "smart" control software (which adapts to the user's impairment) to the same device operating under a standard, non-adaptive controller (which uses rigid or fixed assistance) to see if the new control approach leads to greater improvements in walking ability.
Participants will:
Walk on treadmills, flat walkways, or stairs while wearing a robotic leg orthosis driven by the different control software systems being tested.
Wear small tracking tools (like reflective motion-capture markers and muscle activity sensors) so researchers can precisely measure how their movements interact with each control program.
Complete standard walking tests to measure their walking speed and overall mobility under each software condition.
Inclusion: Cohort 1: Able-Bodied Participants (Initial Validation); Healthy young adults; No history of neurological, orthopedic, or cardiovascular impairments affecting gait or balance; Able to walk independently without assistive devices; Cohort 2: Stroke Survivors (Clinical Efficacy Pilot); Individuals with a documented history of chronic stroke; Persistent unilateral lower-limb motor impairment resulting in a pathological gait pattern (heterogeneous gait deficits); Stable medical condition allowing for participation in intensive physical rehabilitation tasks; Able to provide informed consent.
Exclusion: Co-existing neurological conditions (other than stroke) that independently impair locomotion (e.g., Parkinson's disease, Multiple Sclerosis); Severe lower-limb joint contractures or orthopedic conditions that mechanically restrict the safe range of motion of the robotic orthosis; Any medical contraindication to intensive walking exercise or treadmill training (e.g., unstable angina, severe unmanaged cardiovascular disease); Severe cognitive or communication impairments that prevent the participant from following safety instructions or reporting discomfort; Skin breakdowns, open wounds, or severe unhealed lesions at the contact points where the powered orthosis interfaces with the lower limbs.