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Recruiting NCT06878677

NCT06878677 Individualized Exercise Prescription With a Data-driven Approach in Individuals With Stroke

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Clinical Trial Summary
NCT ID NCT06878677
Status Recruiting
Phase
Sponsor The Hong Kong Polytechnic University
Condition Stroke Gait Rehabilitation
Study Type INTERVENTIONAL
Enrollment 52 participants
Start Date 2024-07-01
Primary Completion 2026-06-30

Eligibility & Interventions

Sex All sexes
Min Age 45 Years
Max Age 75 Years
Study Type INTERVENTIONAL
Interventions
Data-driven exerciseStandardized exercises

Eligibility Fast-Check

Enter your details for a quick preliminary check. This does not replace medical advice.

What to Expect as a Participant

You will actively receive the study intervention — which may be a drug, biologic, device, or procedure.

This trial targets 52 participants in total. It began in 2024-07-01 with a primary completion date of 2026-06-30.

⚠ This information is for research awareness only. Always consult your physician before joining any clinical trial. Participation is voluntary and you may withdraw at any time.

Brief Summary

The goal of this clinical trial is to evaluate if the exercised via data-driven approach is effective in enhance the gait pattern in people with stroke. It will reduce burdun of patient consultations for clinicians in reality.The main questions it aims to answer are: Does individualized exercise training programmes via data-driven approach could improve gait patterns in individuals with chronic stroke? Does individualized exercise training programmes via data-driven approach could improve improve motor recovery, motor functions (including gait speed and balance performance), and community integration in individuals with chronic stroke? Participants will: Undergo 12 supervised-exercise (training sessions (60 minutes, two times a week, for six weeks), Participants will receive a data-driven exercise prescription or conventional exercise prescription which consists of 5 different exercises. They will be assessed on Baseline assessment before training (A0); after six sessions (A1); after 12 sessions (A2); and three months after training (A3).

Eligibility Criteria

Inclusion Criteria: * between 45 and 75 years old; * have received a diagnosis of stroke more than six months earlier; * able to walk 10 m independently; * able to score at least 6 of 10 on the Abbreviated Mental Test; * able to follow instructions and give informed consent. Exclusion Criteria: * any existing medical condition such as uncontrolled hypertension that hindered training or assessment; * unable to offer consent due to impaired cognitive function.

Contact & Investigator

Central Contact

Assistant Professor wai-hang Kwong, PhD

✉ wai-hang.kwong@polyu.edu.hk

📞 85234003958

Frequently Asked Questions

Who can join the NCT06878677 clinical trial?

This trial is open to participants of all sexes, aged 45 Years or older, up to 75 Years, studying Stroke Gait Rehabilitation. Full inclusion and exclusion criteria are listed in the Eligibility Criteria section. Always confirm your eligibility with the research team before applying.

Is NCT06878677 currently recruiting?

Yes, NCT06878677 is actively recruiting participants. Contact the research team at wai-hang.kwong@polyu.edu.hk for enrollment information.

Where is the NCT06878677 trial being conducted?

This trial is being conducted at Hksar, Hong Kong.

Who is sponsoring the NCT06878677 clinical trial?

NCT06878677 is sponsored by The Hong Kong Polytechnic University. The trial plans to enroll 52 participants.

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ClinicalMetric — Independent clinical trial intelligence platform. Not affiliated with NIH, ClinicalTrials.gov, the U.S. FDA, or any pharmaceutical company, hospital, or clinical research organization. Trial data is sourced from ClinicalTrials.gov for informational purposes only and does not constitute medical advice. Do not make any treatment, enrollment, or health decisions based solely on information found here — always consult a qualified healthcare professional. Full Disclaimer  ·  Last Reviewed: April 2026  ·  Data Methodology