Ultrasound Imaging Based Sensing of Human Ankle Motion Intent and Control Strategies for Ankle Assistance
Public ClinicalTrials.gov record NCT05249595. Field values are reproduced from the official study page; the official ClinicalTrials.gov record remains the source of truth for eligibility, enrollment, and contact information.
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Official title
Ultrasound Imaging Based Sensing to Predict Human Ankle Movement Intent and Assist-As-Needed Control Using Functional Electrical Stimulation and Powered Ankle Exoskeleton
Brief summary
Reproduced verbatim from the official ClinicalTrials.gov record. Not medical advice.
Robotic therapies aim to improve limb function in individuals with neurological injury. Modulation of robotic assistance in many of these therapies is achieved by measuring the extant volitional strength of limb muscles. However, current sensing techniques, such as electromyography, are often unable to correctly measure the voluntary strength of a targeted muscle. The difficulty is due to their inability to remove ambiguity caused by interference from activities of neighboring muscles. These discrepancies in the measurement can cause the robot to provide inadequate assistance or over-assistance. Improper robotic assistance slows function recovery, and can potentially lead to falls during robot-assisted walking. An ultrasound imaging approach is an alternative voluntary strength detection methodology, which can allow direct visualization and measurement of muscle contraction activities. The aim is to formulate an electromyography-ultrasound imaging-based technique to sense residual voluntary strength in ankle muscles for individuals with neuromuscular disorders. The estimated voluntary strength will be involved in the advanced controller's design of robotic rehabilitative devices, including powered ankle exoskeleton and functional electrical stimulation system. It is hypothesized that the ankle joint voluntary strength will be estimated more accurately by using the proposed electromyography-ultrasound imaging-based technique. And this will help the robotic rehabilitative devices achieve a more adaptive and efficient assistance control, and maximize the ankle joint rehabilitation training benefits.
Study identification
- NCT ID
- NCT05249595
- Recruitment status
- Not listed
- Study type
- Interventional
- Phase
- Not applicable
- Enrollment
- 25 participants
Conditions and interventions
Conditions
Interventions
- Surface electromypgraphy-based interface to predict human ankle joint motion intent and use in ankle assistive devices Device
- Ultrasound imaging-based interface to predict human ankle joint motion intent and use in ankle assistive devices Device
- Surface electromypgraphy and ultrasound imaging-based interface to predict human ankle joint motion intent and use in ankle assistive devices Device
Device
Eligibility (public fields only)
- Age range
- 18 Years to 64 Years
- Sex
- All
- Healthy volunteers
- Accepts healthy volunteers
This page does not interpret eligibility. Detailed inclusion and exclusion criteria are on the official ClinicalTrials.gov record.
Study timeline
- Start date
- Feb 9, 2020
- Primary completion
- Dec 30, 2023
- Completion
- Dec 30, 2023
- Last update posted
- Feb 20, 2022
2020 – 2023
United States locations
- U.S. sites
- 2
- U.S. states
- 1
- U.S. cities
- 2
| Facility | City | State | ZIP | Site status |
|---|---|---|---|---|
| 1807 N. Fordham Blvd. UNC Center for Rehabilitation Care of Chapel Hill | Chapel Hill | North Carolina | 27514 | Recruiting |
| 4212C Engineering Building III 1840 Entrepreneur Dr. | Raleigh | North Carolina | 27695 | Recruiting |
Site contact phone numbers, emails, and investigator names are intentionally not displayed here. Open the official ClinicalTrials.gov record for site contact information.
About this trial record page
- What this page shows
- Public field values for ClinicalTrials.gov record NCT05249595, including study identification, conditions, interventions, eligibility (age, sex, healthy volunteer), timeline, and U.S. site list.
- What this page does not do
- No medical advice, eligibility judgments, treatment recommendations, study quality scoring, or AI-generated medical summaries. No site contact phone numbers, emails, or investigator names.
- Where the data comes from
- Sourced from the official ClinicalTrials.gov public API. The official record is the source of truth.
- Last refresh
- Last update posted Feb 20, 2022 · Synced Sep 5, 2026
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Open the official record
The complete protocol, eligibility criteria, and contact information for NCT05249595 live on ClinicalTrials.gov.