Sahmyook University
Seoul, 01795, South Korea
Location contact
Suhyeon Jeong, MSc Candidate
CONTACT
Suhyeon Jeong, MSc Candidate
PRINCIPAL_INVESTIGATOR
Suhyeon Jeong, MSc Candidate
SUB_INVESTIGATOR
NCT Number: NCT07134829
This interventional study will investigate the effects of stroboscopic visual conditions on gait patterns and lower limb muscle activation in adults with chronic ankle instability (CAI). CAI often results in impaired sensorimotor control, leading to altered gait strategies such as slower walking speed, shorter step length, and increased visual reliance. Stroboscopic glasses intermittently restrict visual input, potentially reducing visual dependence and enhancing proprioceptive feedback.
Participants will complete walking trials under three randomized visual conditions: high-frequency stroboscopic, low-frequency stroboscopic, and no-glasses control. Gait parameters will be measured using the GAITRite system, and surface electromyography (sEMG) will record activation of the tibialis anterior, peroneus longus, and gastrocnemius muscles. Findings may provide insight into sensorimotor adaptation mechanisms and inform rehabilitation strategies to improve functional stability in individuals with CAI.
Trial opening soon.
Get Notified18 year–45 year
All sexes
Interventional
Not applicable
Seoul, 01795, South Korea
Suhyeon Jeong, MSc Candidate
CONTACT
Suhyeon Jeong, MSc Candidate
PRINCIPAL_INVESTIGATOR
Suhyeon Jeong, MSc Candidate
SUB_INVESTIGATOR
Chronic ankle instability (CAI) is a frequent outcome after ankle sprains, characterized by recurrent giving-way episodes, pain, and functional limitations. Approximately 40% of individuals with ankle sprains develop CAI, which is associated with deficits in proprioception, neuromuscular coordination, and postural stability. Increased visual reliance is a common compensatory strategy, but this can impair balance and gait when visual input is limited, raising the risk of re-injury.
Stroboscopic glasses alternate between transparent and opaque states, intermittently restricting visual information. This challenges the sensorimotor system, potentially reducing visual dependence and enhancing proprioceptive engagement. Prior research has shown benefits for static and dynamic balance, but little is known about effects on walking in CAI populations.
This randomized crossover study will assess the impact of high-frequency and low-frequency stroboscopic visual conditions compared with normal vision on gait and lower limb muscle activation in CAI. Adults aged 18-45 years with CAIT scores < 24 and a history of ankle instability within 6 months will be recruited. Exclusion criteria include recent lower limb surgery/fracture, systemic conditions affecting balance, or inability to follow instructions.
Participants will perform walking trials on a 5-meter GAITRite walkway under three randomized visual conditions:
Gait parameters (step length, step time, gait velocity, swing/stance phases) will be measured, and sEMG (Noraxon) will assess activation of the tibialis anterior, peroneus longus, and gastrocnemius, normalized to MVIC. Subjective measures include CAIT, FAAM, IdFAI, and VAS pain scores.
It is hypothesized that stroboscopic conditions will produce measurable changes in gait and muscle activity compared with control, reflecting adaptive sensorimotor strategies that can inform rehabilitation programs to improve stability, mobility, and reduce re-injury risk.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Participants will perform walking trials under three visual conditions: high-frequency stroboscopic glasses, low-frequency stroboscopic glasses, and no-glasses control. Each participant will complete three 5-meter walking trials per condition, with the order of conditions randomized. Gait parameters will be recorded using the GAITRite walkway system, and muscle activity will be measured using surface electromyography.
Time frame: Day 1 (single experimental session; immediately after each walking condition)
Gait velocity will be measured using the GAITRite system under three visual conditions: high-frequency stroboscopic, low-frequency stroboscopic, and no stroboscopic. Each participant will perform three walking trials per condition over a 5-meter walkway. The average gait velocity (cm/s) will be calculated for each condition.
Time frame: Day 1 (single experimental session; immediately after each walking condition)
Step length will be measured using the GAITRite system under three visual conditions. The average value (cm) will be calculated for each condition.
Time frame: Day 1 (single experimental session; immediately after each walking condition)
Step width will be measured using the GAITRite system under three visual conditions.
Time frame: Day 1 (single experimental session; immediately after each walking condition)
Swing phase duration as a percentage of the gait cycle will be measured using the GAITRite system under three visual conditions.
Time frame: Day 1 (single experimental session; immediately after each walking condition)
Single limb support duration as a percentage of the gait cycle will be measured.
Time frame: Day 1 (single experimental session; immediately after each walking condition)
Double limb support duration as a percentage of the gait cycle will be measured.
Time frame: Day 1 (single experimental session; immediately after each walking condition)
Surface electromyography (sEMG) will measure tibialis anterior muscle activation during walking. Data will be normalized to maximum voluntary isometric contraction (%MVIC).
Time frame: Day 1 (single experimental session; immediately after each walking condition)
sEMG will measure peroneus longus muscle activation during walking, normalized to %MVIC.
Time frame: Day 1 (single experimental session; immediately after each walking condition)
sEMG will measure gastrocnemius muscle activation during walking, normalized to %MVIC.
Time frame: Day 1 (questionnaire administered before walking tasks)
Pearson's correlation will be computed between FAAM-ADL score (0-100; higher scores indicate better function) and gait velocity.
Time frame: Day 1 (questionnaire administered before walking tasks)
Pearson's correlation will be computed between FAAM-Sports score (0-100; higher scores indicate better function) and gait velocity.
Time frame: Day 1 (questionnaire administered before walking tasks)
Pearson's correlation will be computed between IdFAI score (0-30; higher scores indicate greater instability) and gait velocity.
Time frame: Day 1 (questionnaire administered before walking tasks)
Pearson's correlation will be computed between VAS pain score (0-10; higher scores indicate more severe pain) and gait velocity.
Contact information is provided by the study sponsor or research team.
Sahmyook University
Other
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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