RecruitingNot ApplicableNCT06878677

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

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


Sponsor

The Hong Kong Polytechnic University

Enrollment

52 participants

Start Date

Jul 1, 2024

Study Type

INTERVENTIONAL

Conditions

Summary

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

Min Age: 45 YearsMax Age: 75 Years

Inclusion Criteria5

  • 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.

Exclusion Criteria2

  • any existing medical condition such as uncontrolled hypertension that hindered training or assessment;
  • unable to offer consent due to impaired cognitive function.

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Interventions

OTHERData-driven exercise

The result from the Statistical Parametric Mapping 1D (SPM1D) analysis will be used to identify the magnitude of deviation from normal gait patterns in reference to healthy subjects for each lower limb joint. Thereby, the targeted action and joint position can be identified. Training will focus on the specific movement where the "steepest gradients" are observed. The targeted exercises will be selected based on the five largest deviations observed during the swing or stance phase. Open-chain exercises will be applied to address deviations in the swing phase, while closed-chain exercises will be applied to address deviation in the stance phase. Each exercise will be performed for approximately 80-100 repetitions, with a total duration of 10 minutes per exercise, including rest periods.

BEHAVIORALStandardized exercises

The participants will perform dose match standardised exericse program.


Locations(1)

the Hong Kong Polytechnic University

Hksar, Hong Kong

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NCT06878677


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