ENMS With Balance Feedback for Post-stroke Ankle-foot Rehabilitation
Recruiting now · Not applicable · Has a placebo group
Conditions studied: Cerebrovascular Stroke, Foot Drop, Foot Inversion Deformity
In brief
In this work, a novel hybrid ankle-foot robot is designed for gait rehabilitation after stroke, i.e., exoneuromusculoskeleton with balance sensing feedback (ENMS-BSF) by integrating the advantages of soft pneumatic muscle, functional electrical stimulation, exoskeleton and foot balance feedback in one system. With the assistance of the ENMS-BSF the foot drop and foot inversion could be corrected with improved muscle coordination in the paretic lower limb. The device is wearable and light-in-weight for unilateral application during walking. It is hypothesized that with the intervention of the ENMS-BSF the gait pattern of persons after stroke can be improved with long-term rehabilitative effects.
Key facts
- Study ID
- NCT04934787
- Run by
- The Hong Kong Polytechnic University
- People needed
- 60
- Starts
- 2021-07-01
- Expected to finish
- 2027-12-31
- Last updated by the study team
- 2026-06-22
Who can join
Age: 18 and older, up to 70. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- At least 6 months after the onset of stroke
- Have sufficient cognition to follow simple instructions, as well as understand the content and purpose of the experiment (Mini-Mental State Examination (MMSE) score >21).
- Have mild-to-moderate motor impairment in the affected lower limb with foot drop but be capable of standing and walking without manual assistance.
- Fugl-Meyer Assessment (FMA), total score on the lower limb <20
- Functional Ambulatory Category (FAC) ≥4
- Berg Balance Scale (BBS) ≥40
You may not qualify if…
- The exclusion criteria will be server spasticity at the ankle joint measured by Modified Ashworth Score (MAS) >3.
- Receiving other lower limb rehabilitative interventions at the same time
Where it is running
- The Hong Kong Polytechnic University — Hong Kong, China (enrolling)
Full record on ClinicalTrials.gov
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