Individualized Exercise Prescription With a Data-driven Approach in Individuals With Stroke - A Feasible Study
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).
• 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.