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

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).

NCT Number	NCT06878677
Lead Sponsor	The Hong Kong Polytechnic University
Conditions	Stroke Gait Rehabilitation, Stroke Patients, Stroke
Enrollment	52 participants
Start Date	2024-07-01
Primary Completion	2026-06-30 (estimated)
Study Completion	2026-10-31 (estimated)
Updated on ClinicalTrials.gov	2025-09-15