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

Recruiting now · Not applicable

Conditions studied: Stroke Gait Rehabilitation, Stroke Patients, Stroke

In brief

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).

Key facts

Study ID
NCT06878677
Run by
The Hong Kong Polytechnic University
People needed
52
Starts
2024-07-01
Expected to finish
2026-10-31
Last updated by the study team
2025-09-15

Who can join

Age: 45 and older, up to 75. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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