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

Brief summary (registry, in English)

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).

What you commit to

• Study type: Interventional
• Planned participants: 52
• From 1 Jul 2024 to the primary completion date, 30 Jun 2026
• 1 site in 1 country
• Visits and tests: ask the trial team, the registry does not list them

Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.

Who cannot take part

Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.

Who the study is looking for

Age in the registry: 45 years to 75 years · Sex: All · Does not accept healthy volunteers

Full criteria on ClinicalTrials.gov

Sites (1)

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