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

Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age45-75
SponsorThe Hong Kong Polytechnic University

About this trial

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

Qualifiers

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;

Disqualifiers

any existing medical condition such as uncontrolled hypertension that hindered training or assessment;

unable to offer consent due to impaired cognitive function.

Trial design

Treatments tested in this trial

  • Data-driven exercise
  • Standardized exercises

Treatment groups

52 Participants
are divided into 2 treatment groups

Locations

1

Map coordinates are unavailable for these locations. Locations are shown below instead.

the Hong Kong Polytechnic UniversityRecruiting HksarHong KongHong Kong