Ankle Exoskeleton for Stroke Gait Enhancement

Part of paid clinical trials in Atlanta, Georgia.

Sponsor
Georgia Institute of Technology
Study ID
NCT07179627
Status
Recruiting
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Conditions

Eligibility Criteria

Sex
ALL
Age
18 Years - 85 Years
Healthy Volunteers
Not accepted

Interventions

  • Ankle exoskeleton — DEVICE
    The ankle exoskeleton provides bilateral torque assistance at the ankle joints during common functional tasks such as level-ground walking, stair and ramp ascent, and other daily activities, thereby reducing the mechanical workload and supporting more effective community ambulation. In particular, the device is designed to address drop-foot on the paretic side by delivering bidirectional assistance, which helps improve toe clearance during swing as well as push-off during stance. As a wearable assistive device, assistance is applied only while the device is worn.
  • Baseline (no ankle exoskeleton) — OTHER
    The intervention will serve as a baseline where participants will be asked to perform the tasks without wearing an ankle exoskeleton.

Study Details

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.

Key Dates

Start date
Feb 9, 2026
Status verified
Sep 2025
Primary completion
Dec 31, 2028
Completion
Dec 31, 2028

Study Design

Enrollment
15 participants (estimated)
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
BASIC_SCIENCE

Arms

  • Experimental: Ankle exoskeleton for stroke gait assistance
    This study will be conducted on a sample population of stroke subjects (single arm). Subjects will be tested with the powered ankle exoskeleton and baseline conditions.

Primary Outcome Measure

Temporal Convolutional Network (TCN) model performance (Joint moment estimation accuracy) [ Time Frame: 1 year ]

Central Contacts

Locations (1)

FacilityCityStateZIPSite coordinators
Georgia Institute of TechnologyAtlantaGeorgia30332
Aaron Young, PhD
[email protected]

Find similar trials in Atlanta, GA

By condition
Stroke
By specialty
NeurologyBrain disorders
By research site
Georgia Institute of Technology· Atlanta, GA

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