Clinical trial Recruiting at 1 site Interventional Ages 18 to 75

Control strategies for wearable lower-limb rehabilitation robots

Official title: Effects of Control Strategies in Wearable Lower Limb Rehabilitation Robots

Run by Eighth Affiliated Hospital, Sun Yat-sen University · NCT07037849 · Data updated 2026-11-12

This tests three different robot control strategies during short overground walks for adults who had a stroke at least three months ago.

Quick facts

Study typeInterventional
Ages18 Years to 75 Years
SexAll
Enrollment10 (estimated)
SponsorEighth Affiliated Hospital, Sun Yat-sen University
Academic / other
Locations1 site (Shenzhen, Guangzhou)
StatusRecruiting
StartedOctober 23, 2024
Main results expectedOctober 22, 2026
Study endsApril 22, 2027
Registry record updatedJune 26, 2025
Trial IDNCT07037849 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Adults aged 18–75 who had a stroke at least three months ago, are medically stable, can stand and walk independently for 10 meters, have some lower-limb muscle activity, and can follow instructions are the ideal candidates.

Probably not a fit

Patients with severe cognitive impairment, major balance or coordination disorders, recent lower-limb fractures, or serious cardiovascular and medical illnesses are unlikely to benefit or may be excluded.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This interventional project has post-stroke patients complete robot-assisted overground gait training using a wearable lower-limb robot. Each participant completes nine repetitions of 5-meter overground walking in a hospital corridor, performing three trials with each of three different controllers. The protocol records gait-related measures such as trajectory, torque, force, and functional walking performance during and immediately after the sessions. Eligible participants are medically stable adults able to walk independently and without major cognitive, skeletal, or cardiovascular contraindications.

Why it matters

Potential benefit: If one control strategy yields clearer or safer gait patterns, wearable robots could be tuned to improve walking speed, stability, and the efficiency of rehabilitation after stroke.

How similar studies have gone: Previous robot-assisted gait training studies have shown benefits for post-stroke walking, but direct comparisons of control strategies in wearable lower-limb robots are relatively novel.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

Stroke patients aged between 18 and 75 years. Patients who are medically stable and able to stand and walk independently for at least 10 meters during rehabilitation.

Stroke event occurred at least 3 months ago Patients with impaired lower limb motor function but with some degree of muscle activity in the lower extremities.

Patients without severe cognitive impairment and capable of understanding and following the treatment protocol.

Patients without severe balance or coordination disorders, able to maintain balance and perform gait training with assistive devices.

Patients without lower limb fractures or other serious skeletal issues affecting the lower limbs.

Patients without severe cardiovascular or other serious illnesses and able to tolerate the intensity and duration of rehabilitation therapy.

Patients willing to participate in the study and able to provide written informed consent.

Exclusion Criteria:

Severe cognitive impairment that prevents the patient from understanding or complying with the treatment protocol.

Severe balance or coordination disorders that prevent the patient from maintaining balance and participating in gait training, even with assistive devices.

Other serious motor disorders, such as abnormal muscle tone or ataxia, which may interfere with the effectiveness of rehabilitation therapy.

Active cardiovascular disease or other serious systemic illnesses that may affect the patient's safety or treatment outcomes.

Lower limb fractures or other serious skeletal issues that may impact the suitability and safety of robot-assisted rehabilitation therapy.

Patients currently receiving other rehabilitation or experimental treatments. Patients with skin ulcers, infections, or other severe skin conditions that may interfere with the use and application of robotic devices.

Unexplained discomfort or pain symptoms that may limit the patient's ability to participate in rehabilitation therapy.

Failure to meet other specific inclusion criteria outlined in the study protocol.

Where it's running

  • Eight affiliated hospital, Sun Yat-Sen University
    Shenzhen, Guangzhou, China
    Recruiting

Study contacts

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

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  • Body-weight-supported gait training with virtual reality for people after stroke

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  • Improving walking symmetry after stroke with treadmill resistance and sensory feedback

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  • AI-based tools to help diagnose, treat and predict stroke outcomes across multiple hospitals

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How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.