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

Plain Language Summary

Simplified for easier understanding

This clinical trial is studying Data-driven exercise and a behavioral approach called Standardized exercises for people with stroke, stroke gait rehabilitation, and other related conditions. The study is currently recruiting participants at 1 location.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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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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